Remote OK

RTOC Analyst

2026-05-12T00:30:31+00:00

<![CDATA[ The DrillOps Field Deployment Lead is comfortable in the rig environment and has advanced knowledge and access to the IT infrastructure at the wellsite. The DrillOps Field Deployment Lead is essentially responsible for the rig-IT infrastructure and software updates, IT equipment inventory control, data management and communication between rig site and any remote center. This person is a basic user of the data acquisition/core and services elements of the wellsite execution systems. The DrillOps Field Deployment Lead needs to understand town-based Orchestra & Prism systems.

Establish and maintain data link to town and wellsite network.
Manage user access / permissions.
Troubleshoot of IT infrastructure, RCS and Coda systems, sensors and cabling and related problems. Manages IT equipment inventory.
Re-start virtual machines.

3 years experience

]], >

RTOC Analyst

2026-05-11T21:03:47+00:00

Establish and maintain data link to town and wellsite network.
Manage user access / permissions.
Troubleshoot of IT infrastructure, RCS and Coda systems, sensors and cabling and related problems. Manages IT equipment inventory.
Re-start virtual machines.

3 years experience

]], >

Analytics Engineer

2026-05-08T06:01:48+00:00

Civitech is a public benefit corporation dedicated to creating a fairer and more equitable democracy by building the tools and infrastructure needed to increase civic participation, empower Democratic candidates to win, and support the success of progressive causes. Since its founding in 2019, over 500 partners -- a range of nonprofit organizations, national political committees, and individual campaigns -- have utilized Civitechâs tools to reach tens of millions of voters to help create a more equitable and progressive democracy.

Civitech is a remote-first company hiring within our current footprint of 27 states (AL, AK, CA, CO, DC, DE, FL, GA, HI, IL, MA, MD, MN, NC, ND, NH, NJ, NV, NY, OH, SD, TN, TX, VA, WA, WI, WY); Civitech does have an office in Austin, TX.

It is important that our team reflects the diversity of the organizations we seek to serve. We strongly encourage women, people of color, LGBTQIA+ people, and others otherwise underrepresented in the technology sector to apply.

This is a temporary role expected to run through November 15, 2026. While there may be the potential for extension or conversion to a full-time role depending on business needs, candidates should apply with the understanding that the position is currently scoped as a fixed-term role, non-eligible for benefits.

The Analytics Engineer will turn raw voter, district shape, and product data into clean, well-modeled, trustworthy datasets that power dashboards, pipelines, and the tools our partners rely on every day. This role ensures that decision-makers across Civitech and our partner organizations are working from clean data they can trust, ultimately contributing to our mission of increasing civic participation and supporting progressive causes.

Civitech's Values

We act with Integrity â At Civitech, we hold ourselves to the highest standards and value open and transparent communications with all of our stakeholders. Our rigorous approach to product design, testing, and data science leads to accurate assessments of our outcomes and challenges us to constantly improve our tools.
We are Changemakers â As a team, Civitech seeks to make transformational change in our democracy by eliminating obstacles meant to hamper contribution from every member of the community.
We are Collaborators - Buoyed by our mission, we look for opportunities to partner with everyone committed to making democracy easier to participate in. We seek to understand the challenges our partners face and use our skills and creativity to help them solve them.
We are Bold â We recognize that disruptive change won't come with doing business as usual. Civitech seeks to revolutionize civic participation by bringing innovation and creativity to politics.

What You Will Do

Build and maintain dbt models that transform raw data from multiple sources into clean, tested, well-documented datasets.
Partner with data scientists, engineers, and product teams to translate ambiguous questions into durable data models rather than one-off queries.
Improve data quality across the stack by writing tests, defining expectations for critical models, and triaging issues when something looks wrong.
Document models, metrics, and lineage so engineers, analysts, and partner organizations can self-serve with confidence.
Use Python where it's the right tool â for orchestration, ad-hoc work, or transformations that don't belong in dbt.
Raise the bar on analytics engineering practices, including code review, modeling conventions, CI for data, and documentation standards.
Perform additional engineering and data duties as needed to support the broader team.

About You

3+ years of experience in analytics engineering, data engineering, or a closely related role where modeling data was central to the job.
Strong SQL skills and production experience with dbt, including tests, documentation, and a sensible approach to project structure.
Comfortable in Python for data work, including pandas, scripting, and lightweight automation.
Experience with a cloud data warehouse (Snowflake, BigQuery, Redshift, or similar) and an instinct for writing SQL that performs well at scale.
A bias toward clarity â you write models, tests, and documentation that other people can actually use.
Comfort with ambiguity. Political and civic data is messy and timelines are real; you can move quickly without leaving a mess behind you.
Familiarity with voter file data, VAN/EveryAction, or other political/civic data sources is a plus.
Experience with orchestration tools (Airflow, Dagster, Prefect) or modern data ingestion (Fivetran, Airbyte) is an advantage.
Committed to leveraging technology and data products to help Democratic candidates run for office and win, empower progressive causes, and increase civic participation.

$85,000 - $95,000 a year

In lieu of a cover letter, please answer the application questions enclosed (weâd like to hear from YOU, not ChatGPTâyes, we can tell!).

Civitech is not able to provide visa sponsorship at this time.

Civitech provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, disability, genetic information, marital status, amnesty, or status as a covered veteran in accordance with applicable federal, state and local laws.

Please be aware that Civitech utilizes E-Verify to verify an employee's eligibility to work in the United States. This step occurs after an offer has been extended and accepted, and after the employee has completed their Form I-9. Please find more information about our participation in this program here.

No recruiters or agencies, please!

Senior Data Engineer

2026-05-07T14:00:03+00:00

About the Company

Valon is transforming both mortgage servicing and consumer direct lending with a technology-first approach. Backed by Andreessen Horowitz (a16z) and managing over $130 billion in loans, weâve built our platforms from the ground upânot on outdated legacy systemsâso homeowners, lenders, and investors experience greater transparency, efficiency, and care. By unifying processes into a modern, AI-native operating system, weâre leading the way in automation, compliance, and continuous improvement across our servicing and lending businesses.

Our mission is to empower every homeowner by making the mortgage experience simple, secure, and financially empowering. To achieve this, we bring together world-class engineers, servicing experts, lending professionals, and operations leaders who share a passion for improving the homeowner journey. Weâre not only reshaping what servicing and lending look like todayâweâre creating opportunities for talented people to help drive the future of the industry.

As we continue to grow, Valon is expanding its footprint across multiple states, opening the door to exciting new roles and career paths. Joining Valon means becoming part of a fast-scaling company where innovation, collaboration, and customer impact go hand in hand. Mortgage is just the beginningâweâre building the future of regulated finance, and we want you to be part of it.

About the Role

We are looking for a Senior Data Engineer to own all facets of data infrastructure at Valon. You will be responsible for managing/optimizing our core data infrastructure, building/maintaining custom data ingestion pipelines, optimizing/implementing complex data transformations, and partnering with the analytics team to architect the optimal long-term infra strategy for Valon. You will be the data teamâs infrastructure quarterback, and success will mean standing up the proper tooling or processes and flexibly problem-solving to ensure the team is able to carry out its mission efficiently and seamlessly.

Responsibilities

Core Data Infrastructure & Scalability

Own and optimize Valonâs core data infrastructure for performance, reliability, and cost efficiency as data volume and complexity grow.
Design and extend multi-tenant data architectures to support a scalable SaaS model.
Evaluate and improve warehouse design, data models, and schema strategies to minimize redundancy and maximize query performance.
Lead and execute infrastructure migrations with minimal downtime and high data integrity.
Build and maintain custom ingestion pipelines for data sources not covered by ELT vendors.

Observability, Performance & Maintenance

Build or integrate observability tooling for pipeline health, latency, data freshness, drift detection, and schema change monitoring.
Optimize data transformation jobs for speed and cost efficiency, identifying performance bottlenecks and refactoring as needed.
Establish and run routine maintenance processes to ensure data quality, stability, and platform consistency.
Drive a culture of data reliability engineering by codifying best practices, automation, and operational excellence.

Strategic Leadership & Enablement

Define and communicate the long-term data infrastructure roadmap, aligning technical evolution with Valonâs business growth.
- Think strategically: What does our infrastructure need to look like at 10x or 100x scale?
Partner closely with the analytics team to enable faster insights through better tooling, performance, and documentation.
Act as a force multiplier for the broader data team - mentoring on best practices and improving development velocity across pipelines and models.

Cross-Functional Execution

Collaborate with platform and product teams to design systems that meet business, operational, and regulatory requirements.
Occasionally take on complex, non-infrastructure data projects, such as data products or analytical initiatives, to stay close to end-user needs and maintain empathy with analysts.

Qualifications

4+ years of data engineering experience successfully creating/optimizing/scaling data stacks and supporting data teams, at least 2 years in an early- to mid-stage startup
Deep knowledge and experience deploying and optimizing dbt or comparable tooling
Experience managing multiple types of data management systems (data warehouses, data marts, data lakes)
Experience building/procuring tools and processes to monitor end-to-end data stack health
Mastery of SQL from both functionality and performance perspective
Fluency in writing scripts in Python or a similar language
Experience working with and tuning cloud data warehouses and compute environments. Experience with BigQuery/GCP a plus
Experience optimizing BI tool performance and managing permissions, Looker experience a plus
Experience managing/tuning EL connector solutions (such as Fivetran, Stitch, etc.) and building custom ingestion pipelines
Strong prioritization skills, effort vs. impact thinking, stakeholder management
Ability to reason about factors/interactions/root causes outcomes across the data stack, able to back up arguments/decisions with data
Deep understanding of data team workstreams and needs, ideally in the form of past experience as a data analyst/data scientist

Benefits

Compensation: competitive salary and 401(k) plan
Health & well-being: weâll invest in your physical and mental well-being with comprehensive medical, dental, & vision benefits
Grow together: Company-wide orientation for you to successfully onboard and other learning & development opportunities, including regular review cycles that feature 360-degree feedback
Generous time off: 17 days paid time off, sick days, and 11 company holidays
Baby bonding time!: 12 weeks off for both birthing and non-birthing parents - fully paid so you can focus your energy on your newest addition

Throughout the interview process, please remember that emails will only be from valon.com email addresses. We will never ask for any personally identifiable information during the interview process itself. Please reach out to talent@valon.com if you have any requests to verify the authenticity of an outreach.

Valon is an equal opportunity employer that is committed to diversity and inclusion in the workplace. We prohibit discrimination and harassment of any kind based on race, color, sex, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other protected characteristic as outlined by federal, state, or local laws. Valon makes hiring decisions based solely on qualifications, merit, and business needs at the time.

Senior Data Engineer

2026-05-01T14:00:12+00:00

About the Role The Senior Data Engineer plays an integral role in creating and maintaining Business Wire's data pipelines, APIs, and services. As a member of our Engineering team, this role partners with other engineers, business analysts, and project managers to create applications for news processing, syndication, and metrics reporting systems.

Data Success Manager

2026-05-01T06:00:50+00:00

Who We Are

At Murmuration, we believe that Americaâs promise is shaped and reshaped by the best ideas and ideals of its communities, and the dreams of the people who believe in a better life for themselves, their families, and each other.Â

We help organizations build power in their communities in four key ways: we organize a network of values-aligned partners; we provide deep, data-driven insights into people, places, and perspectives; we develop tools that make organizing and engagement easy and more effective; and we offer services that strengthen our partnersâ capacity to lead change in their communities.

We envision an America where every community has what it needs to help people lead healthy, free, and dignified lives. We work to redesign the systems and structures we all depend on â how we learn, live, govern, and solve problems â so that they are just, equitable, resilient, and rooted in shared responsibility. By strengthening the ties that hold communities together, we aim for civic life defined by collective action and care, with effective leadership that truly represents everyone.Â

We are a collaborative, curious, and creative team of organizers, scientists, teachers, technologists, campaign veterans, and more who share the unwavering belief that we can use our gifts in service of transforming America â together. Weâve built our team guided by the belief that the whole is greater than the sum of its parts. And so we support each other relentlessly â rallying together to face challenges the same way we celebrate each otherâs wins.

About the Position

The Data Success Manager (Data Acquisition) is one of the people primarily responsible for the sourcing and collection of data utilized by our partners through our products and services. The members of the Data Success Team are expert problem solvers, familiar with modern databases, proficient in SQL and Python, and are able to deal with escalated issues involving data discrepancies and other data mysteries. Working with other Data Success Managers and Partnership Success Managers, you will serve as a key resource for our growing set of partners who are looking to our data-driven capabilities to support their electoral and organizing & advocacy efforts. You will become familiar with the data individual partners are utilizing to support their mission and provide input on how Murmurationâs capabilities can further drive their activity. The day-to-day work in this role will be supporting the range of data needs our partners haveâincluding helping to source,Â load, and validate data in a variety of formatsâwhile also contributing to improvements in our data management practices and pipelines.Â You will lead the effort to establish, manage, and improve the processes involved in data collection from both operational and technical angles. You will work with other members of the Success Team to help determine the prioritization of new data collection opportunities we use to support our partners and their data.Â Â

In addition, as our team continues to grow, there will be increasing opportunities for this role to lean into other support activities we provide to our partners when capacity is available.

Job Level: P3

What Youâll Do

Establish and manage the operational processes to identify, evaluate, and source datasets that support Murmurationâs civic engagement partners across organizing, advocacy, and electoral campaigns;
Create and perform validation and quality checks on newly acquired datasets, including schema review, field-level analysis, completeness checks, and anomaly detection;
Clean, standardize, and prepare external datasets for integration into Murmuration systems using SQL and scripting tools;
Collaborate with internal teams (i.e., Data Success, Partner Success, and Research) to understand data gaps and recommend appropriate sourcing strategies;
Monitor ongoing data quality for sourced datasets and proactively flag degradation, inconsistencies, or compliance concerns;
Establish, implement, and share internal processes for dataset evaluation, vendor onboarding, and quality assurance;
As new datasets are collected, develop and maintain the necessary documentation and training for internal teams on how to use and understand these datasets; and
When responsibilities allow, taking an active role in partners' data success by supporting their campaign activities and work in the Organizer platform.

Strong problem-solving skills, as well as the ability to manage several tasks/projects concurrently and prioritize work effectively;
Strong operational management skills to build and own processes with stakeholder expectations around timeliness and quality;
Strong communication skills to interact effectively with various internal and external stakeholders to develop data strategy and collaborative partnerships;
An unquenchable desire to identify and fix data issues in a large, complex data environment (weâll rely on you to constantly be hunting for issues and not waiting to be reactive);
Moderate knowledge of SQL, including creating complex queries and manipulating large data sets; and
Moderate experience in scripting languages (Python, etc.)

Nice to Haves

Experience with voter file, election data, or other datasets containing personally identifiable information (PII) is a large plus;
Experience implementing data quality control best practices with both internal and external stakeholders;
Experience training stakeholders with varying levels of data literacy on how to understand and utilize different types of data;
Experience with business intelligence tools such as Sigma or Tableau; and/or
Experience with workplace productivity and collaboration tools, especially complex or integration-based workflows (i.e., Asana, Slack, Jira, Monday, etc.)

Talented candidates come from all walks of life and careers. If you are passionate about civic engagement and technology, please apply, even if you do not check every box!

Location and Compensation

The Data Success Manager (Data Acquisition) is a full-time, salaried position with a comprehensive benefits package (details below), open to candidates anywhere in the United States.

The starting salary for this position is $106,645. We set compensation using market data and apply it consistently across the organization to ensure fairness and transparency for everyone in similar roles.

Our Culture of Care

We work hard to create a culture of care to ensure that our staff are best equipped to lead happy, healthy, and balanced lives. To that end, we offer a comprehensive benefits package which includes:

Health, vision, and dental insurance with 100% of premiums covered for you and qualifying family members;
Retirement benefits with a 5% employer match;
A flexible, unlimited PTO plan;
Generous paid parental leave;
Pre-tax commuter benefits;
A company laptop;
A flexible remote work environment;
A home office setup stipend for all new employees;
Monthly reimbursement for remote work expenses;
A yearly professional development fund;
Mental health and wellness benefits through Calm and Better Help;Â
Yearly in-person staff retreats; and
A welcoming culture that celebrates diversity, equity, inclusion, and belonging.

At Murmuration, we believe a vibrant, representative democracy depends on the inclusion of diverse voices, lived experiences, and perspectives. The best ideas donât come from a single person or ideology â they emerge at the intersection of different backgrounds, identities, and viewpoints. We are proud of our commitment to building an organization and culture shaped by respect, empathy, and collaboration, where our teamâs diversity fuels innovation, civic engagement, and meaningful change. We welcome new colleagues who will help us nurture this collective effort. Join us.

An Equal-Opportunity Employer with a Commitment to Diversity

Murmuration is proud to be an equal opportunity employer, and as an organization committed to diversity and the perspective of all voices, we consider applicants equally of race, gender, color, sexual orientation, religion, marital status, disability, political affiliation and national origin. We reasonably accommodate staff members and/or applicants with disabilities, provided they are otherwise able to perform the essential functions of the job.

Note: Murmuration is two organizations working together to pursue our mission of amplifying the power of civic engagement: Murmuration Research Institute, a 501(c)(3) that conducts research to identify, design, and create the data, tools, and insights that build healthier and more equitable communities; and Murmuration, Inc., a 501(c)(4) that supports organizations working across the country on the nationâs most challenging issues with access to data, tools, and research that build healthier and more equitable communities.

Staff Data Engineer

2026-04-30T22:00:26+00:00

Who We Are

Imagine Pediatrics is a tech enabled, pediatrician led medical group reimagining care for children with special health care needs. We deliver 24/7 virtual first and in home medical, behavioral, and social care, working alongside families, providers, and health plans to break down barriers to quality care. We do not replace existing care teams; we enhance them, providing an extra layer of support with compassion, creativity, and an unwavering commitment to children with medical complexity.

What You'll Do

As a Staff Data Engineer at Imagine Pediatrics, you will be the first dedicated Data Engineer on a hybrid team with Analytics Engineers, responsible for defining how data moves through our platform and owning the data pipelines that power clinical analytics, operational reporting, and external integrations.

You will ensure that data ingestion and integration decisions are made with a clear understanding of downstream analytical usage, including how data freshness, grain, and structure impact downstream processes and systems. You will partner closely with Analytics

Data Engineer

2026-04-24T14:00:16+00:00

About Pivotal Health

Pivotal Health is the leading technology platform that helps healthcare providers get paid fairly in an increasingly complex reimbursement landscape.

Today, many providers face persistent underpayment from health insurance companies, despite delivering high-quality care. While processes like IDR (Independent Dispute Resolution) were designed to promote fairness, theyâre often administrative-heavy, time-consuming, and difficult to navigate without the right tools.

Pivotal Health combines software, data, and service into a seamlessly integrated, AI-driven platform that simplifies these complex reimbursement workflows. We help providers efficiently dispute underpaid claims, reduce administrative burden, and recover the reimbursement theyâre entitled to; without adding more work to already stretched teams.

Our full-service IDR solution is just the starting point. Weâre building solutions that enable providers to operate with clarity, control, and confidence across the reimbursement journey.

About the Role

We're hiring a Data Engineer to sit at the intersection of our analytics and engineering teams. You'll be responsible for making Pivotal's product data accessible, reliable, and ready for analysis, connecting data sources to our warehouse, building clean transformation pipelines, and ensuring our analysts have what they need to drive business decisions.

This is not a traditional software engineering role and it's not a pure analyst role either. You'll bring a strong technical foundation and apply it in service of business outcomes: faster reporting, better data access, and more reliable pipelines that the team can actually trust.

If you enjoy building the infrastructure that makes great analysis possible and care about the business impact of your work, this role is for you.

What Youâll Do

Own the pipeline from product database to analytics warehouse: Take full ownership of extracting data from our PostgreSQL product database and loading it into BigQuery. Design and maintain the ETL processes that make this happen reliably, with the right structure for downstream analytics use.
Bring in new data sources: Expand our analytics footprint by integrating new data sources, including third-party tools like Salesforce, into our warehouse. You'll partner with our DevOps team to establish the right service accounts, permissions, and connection patterns to do this securely and correctly.
Build and maintain analytics-ready tables: Use dbt to design, build, and manage the transformation layer that turns raw data into clean, well-structured tables. You'll have real ownership over what the data looks like: what gets modeled, how it's shaped, and what makes it most useful for reporting.
Support reporting and business insights: Work alongside our analysts to support the reporting layer, ensuring data is fresh, accurate, and structured in a way that makes building dashboards and reports in Tableau, Power BI, or Metabase reliable and efficient.
Be the bridge between analytics and engineering: Attend engineering team meetings to stay ahead of product changes that could affect analytics. Serve as the connective tissue between both teams, translating data needs into technical solutions and keeping everyone aligned.

Who You Are

Strong SQL skills with hands-on experience in modern cloud data warehouses: BigQuery, Snowflake, or Redshift
Proficient with dbt for managing SQL transformations. You understand how to write clean, maintainable, well-documented models
Comfortable with Python at a working level, enough to build and automate data workflows without needing to be a full software engineer
Experience with at least one BI or reporting tool (Tableau, Power BI, Metabase, or similar)
You think in business outcomes: your resume reflects the impact your work had, not just the tools you used
Self-directed and comfortable with ambiguity: you can identify what needs to be done and execute without heavy guidance
Collaborative by nature: you know how to work across teams with different levels of technical depth
Startup or high-growth company experience: you're used to environments where ownership is real and speed matters

Extra Credit If You Have

Hands-on experience with BigQuery specifically
Experience connecting BI tools to a cloud warehouse (e.g., Power BI to BigQuery)
Experience with Salesforce data or CRM integrations
Background in FinTech, HealthTech, or other data-rich industries

Why Youâll Love Working Here

Weâre a collaborative, low-ego team on a mission to make healthcare reimbursement fairer for providers. While we primarily hire around our core hubsâLos Angeles and New Yorkâwe remain open to exceptional talent outside those regions. Remote and hybrid flexibility varies by role and team, and is outlined in each job description.

If youâre excited by solving complex problems and making a real-world impact, weâd love to hear from you.

Benefits Include:

Competitive compensation, including equity
Full health, dental, and vision coverage
Retirement savings plan through 401(k)
Flexible time off
Opportunities for company-wide connection and events

Ready to Make an Impact?
Weâre building something meaningful; and we want you on the team.

Bring your ideas, curiosity, and drive, and letâs transform healthcare reimbursement together.

Employment Information

Work Authorization

Candidates must be authorized to work in the United States without current or future employer sponsorship.

Equal Employment Opportunity

Pivotal Health is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate on the basis of race, color, religion, sex, gender identity or expression, sexual orientation, national origin, age, disability, veteran status, or any other legally protected status.

Reasonable Accommodations

Pivotal Health provides reasonable accommodations for qualified individuals with disabilities in accordance with applicable laws. If you need assistance during the application or interview process, please let us know.

Background Checks

Employment is contingent upon successful completion of applicable background checks, where permitted by law.

At-Will Employment

Employment with Pivotal Health is at-will and may be terminated by either party at any time, with or without cause or notice, in accordance with applicable law.

Senior Data Engineer

2026-04-22T22:00:36+00:00

Capnexus is a comprehensive services provider. Our team consists of outstanding professionals, highly experienced in designing, building, and supporting retail software. We see ourselves as a build-as-a-service provider who follows a repeatable business pattern that can be applied to a variety of platforms and verticals. Having a culture built on outcomes and delivery at the core of the business, Capnexus is providing its customers with a complete suite of services for software development, system analysis, integration, implementation, and support, as well as the option to engage a single team to perform all the services they require. Who You Are and What You'll Do:Capnexus is looking for a highly skilled Senior AWS Data Engineer to lead data architecture, pipeline development, and ERP integration for a 12-week AI-powered modernization engagement in the construction industry. This role is focused on designing and implementing the data engineering backbone of an intelligent subcontractor pre-qualification platform, including CMIC ERP API integration, Amazon Textract data extraction pipelines, ETL development using AWS Glue, and data quality validation. This is an exciting opportunity to apply advanced cloud data engineering skills on a platform that leverages generative AI to automate and modernize enterprise workflows.Responsibilities:

Product Manager Data Platform

2026-04-20T22:00:29+00:00

Mission Statement The Platform team creates the technology that enables Spotify to learn quickly and scale easily, enabling rapid growth in our users and our business around the globe. Spanning many disciplines, we work to make the business work; creating the infrastructure, tooling, frameworks, and capabilities needed to welcome a billion customers. About the Team We are looking for a passionate Product Manager to join Spotify's Data Platform Studio. Data Platform's mission is to enable the application of data in an intuitive and efficient wayâhelping Spotify extract value from data at scale. Data Platform is responsible for how data is collected, processed, stored, governed, and made available to the thousands of engineers, data scientists, and analysts who build Spotify's products. With AI agents increasingly writing data pipelines and powering personalization, this is one of the most consequential infrastructure domains at Spotify.

Senior Data Engineer

2026-04-08T22:00:37+00:00

Senior data engineers at Thoughtworks are engineers who build, maintain and test the software architecture and infrastructure for managing data applications. They are involved in developing core capabilities which include technical and functional data platforms. They are the anchor for functional streams of work and are accountable for timely delivery. They work on the latest big data tools, frameworks and offerings (data mesh, etc.), while also being involved in enabling credible and collaborative problem solving to execute on a strategy.Job responsibilitiesYou will develop and operate modern data architecture approaches to meet key business objectives and provide end-to-end data solutions.You will develop intricate data processing pipelines, addressing clients' most challenging problems.You will collaborate with data scientists to design scalable implementations of their models.You will write clean, iterative code using TDD and leverage various continuous delivery practices to deploy, support and operate data pipelines.You will use different distributed storage and computing technologies from the plethora of options available.You will develop data models by selecting from a variety of modeling techniques and implementing the chosen data model using the appropriate technology stack.You will collaborate with the team on the areas of data governance, data security and data privacy.You will incorporate data quality into your day-to-day work.Job qualificationsTechnical SkillsWorking with data excites you: you can build and operate data pipelines, and maintain data storage, all within distributed systems.You have hands-on experience of data modeling and modern data engineering tools and platforms.You have experience in writing clean, high-quality code using the preferred programming language.You have built and deployed large-scale data pipelines and data-centric applications using any of the distributed storage platforms and distributed processing platforms in a production setting.You have experience wit

Manager of Revenue Operations

2026-03-28T22:00:59+00:00

About the Role

We are hiring a Manager of Revenue Operations to lead the systems, automation, and data infrastructure that power how the business sells, retains, and serves members. This is a senior, hands-on leadership role responsible for owning the RevOps stack end to end, from CRM architecture to reporting and workflow automation.

You will manage a small technical operations team while acting as the primary owner of HubSpot, automation workflows, and business intelligence. This role requires someone who can identify inefficiencies quickly, design scalable systems, and implement solutions without waiting for direction.

The ideal candidate is highly technical, operationally rigorous, and comfortable using AI tools as part of their daily workflow. You will play a key role in building infrastructure that supports rapid growth and operational scale.

Key Responsibilities

Revenue Operations & Systems Ownership

Own the full architecture and administration of HubSpot, including pipelines, lifecycle stages, sequences, automation, and reporting
Design, implement, and maintain scalable RevOps systems that support sales, onboarding, billing, and retention
Identify operational bottlenecks and implement process improvements across the revenue lifecycle

Automation & Workflow Development

Build and maintain automation workflows using tools such as Zapier or Make
Ensure data flows accurately and reliably across systems and departments
Continuously optimize workflows to improve efficiency and reduce manual work

Business Intelligence & Reporting

Build dashboards and reporting frameworks that leadership uses to make decisions
Ensure data accuracy, consistency, and visibility across key revenue and operational metrics
Translate business needs into actionable reporting and analytics

AI & Technology Enablement

Evaluate, adopt, and implement AI tools that improve operational efficiency and decision-making
Champion AI adoption across the team and embed AI workflows into daily operations
Stay current with emerging tools and technologies relevant to RevOps and automation

Team Leadership & Development

Manage and mentor a team of 2 Automation Specialists and 1 Technical Engineer
Set clear performance expectations and support professional development
Drive accountability and execution across the operations team

Requirements

5+ years of experience in Revenue Operations, Sales Operations, or Marketing Operations
Advanced expertise in HubSpot administration and architecture
Proven experience designing and managing automation workflows across multiple systems
Strong analytical and data management skills, with experience building decision-ready dashboards
Demonstrated experience improving operational efficiency through systems and automation
Experience managing or leading technical or operations team members
English proficiency at C1 or C2 level, both written and spoken
Based in South America
Availability to work during US Eastern or Pacific time zones

Preferred Qualifications

Experience with business intelligence platforms such as Domo or similar tools
Background working in membership, SaaS, or subscription-based business models
Experience scaling operational systems in a high-growth environment
Strong familiarity with AI-powered workflow and productivity tools

Success Indicators (First 3â6 Months)

HubSpot architecture is fully documented, optimized, and aligned with business workflows
Core automation workflows are stabilized, standardized, and operating reliably
Leadership dashboards are actively used to track performance and guide decisions
Team roles, responsibilities, and workflows are clearly defined and functioning efficiently
At least one measurable operational efficiency improvement has been implemented through automation or AI

Compensation & Logistics

Compensation: $60,000 - $70,000 usd a year
Location: Remote from South America
Schedule: Full-time
Time Zone: Must overlap with US Eastern business hours

Company Overview

Our client is a private membership community for founders and CEOs running businesses between $3M and $50M in revenue. The organization focuses on building high-performance peer networks for operators who are actively running and scaling companies.

The company is scaling rapidly toward 10,000 members, and operational systems must be designed to support sustained growth. The team values ownership, speed, and practical execution, with a strong focus on building scalable infrastructure that drives measurable outcomes.

VP Data Engineering

2026-03-27T22:00:07+00:00

This role is remote (US-based; east coast preferred)

Company Overview

Join a dynamic team that's redefining consumer data analytics. We empower top investment firms and global consumer and corporate brands with cutting-edge insights into consumer spending, leveraging privacy-compliant data across geographies. Our real-time intelligence and merchant-level benchmarks give clients a competitive edgeâand you'll be at the forefront of it all.

Role Summary

We're looking for a seasoned VP of Data Engineering to lead our data engineering team and take ownership of the infrastructure that powers everything we do. Because data is our business, this role carries significant weight: the reliability, scalability, and quality of our data pipelines directly impacts our customers and our revenue.

You'll manage ~15 engineers across 3 data engineering teams, set technical direction across our GCP-based data platform, and work closely with data operations, product, and commercial teams to ensure we can continuously ingest, process, and deliver alternative datasets at scale â with the rigour that financial services clients demand.

Your Main Responsibilities

Team Leadership

Lead, mentor, and grow a team of data engineers, building a culture of ownership, craft, and continuous improvement
Own hiring, onboarding, and performance management for the data engineering function
Act as a technical role model â setting high standards while remaining approachable and supportive

Data Platform & Infrastructure

Own the architecture, reliability, and evolution of our GCP data platform â including BigQuery, Cloud Composer/Airflow, Dataflow, Pub/Sub, and GCS
Design and maintain robust, scalable pipelines for ingesting, transforming, and serving diverse alternative datasets (web, CPG, transaction data, etc.)
Drive infrastructure best pr

Senior Software Engineer Data Platform

2026-03-12T06:01:18+00:00

Who we are

Zus is a shared health data platform designed to accelerate healthcare data interoperability by providing easy-to-use patient data via API, embedded components, and direct EHR integrations. Founded in 2021 by Jonathan Bush, co-founder and former CEO of athenahealth, Zus partners with HIEs and other data networks to aggregate patient clinical history and then translates that history into user-friendly information at the point of care. Zus's mission is to catalyze healthcare's greatest inventors by maximizing the value of patient insights - so that they can build up, not around.

What we're looking for

Weâre looking for an experienced Software Engineer to join the âCostcoâ team at Zus, which builds services for managing our rapidly growing bulk data offerings while adhering to complex healthcare access control requirements.

The ideal candidate will be excited to take on the challenge of processing, storing and delivering the entire health records of millions of patients, adopting tools to handle growing scale, and ensuring high data quality and freshness. You are creative, innovative and love to run experiments to explore the paths to evolve and develop our platform as we scale.

As As part of the core Zus platform, the Costco team has needed to rapidly innovate to stay ahead of data volumes that grow at 10x per year and a growing base of data-savvy customers using data to improve patient care. They are also contending with an evolving regulatory landscape in data privacy and security.

On the Costco team, you will work with microservices in Go, streaming data pipelines in AWS, and state-of-the-art data technologies including Apache Iceberg, Apache Spark, Snowflake, and dbt. Expect to learn a lot and be put on mission-critical projects with direct customer impact.

As part of our team, you will

Build and operate data services driving our applications and APIs
Collaborate with team members and across Engineering to iteratively prototype and develop new functionality

Partner with product managers and other Zusers

You're a good fit because you

Learn fast and enjoy open-ended technical challenges
Have experience with operationally stable, scalable, and cost efficient data services
Enjoy owning your work and seeing it deploy safely in production
Are experienced using Cloud Data Warehouses such as Snowflake, Big Query, Redshift or Databricks
Have experience with at least one of the following: deployment technologies (GitHub Actions, CircleCI, etc.), cloud providers (AWS, Azure, GCP), and Infrastructure as Code (Terraform, CloudFormation, etc.)
Are excited to ~ finally! ~ enable a true digital revolution in healthcare
Thrive amid the changing landscape of a growing and evolving startup
Enjoy collaboration and solving unique problems

It would be awesome if you were

Experienced at working with petabyte-scale data
Experienced with Apache Iceberg, Apache Spark, and other large-scale data technologies
Experienced with AuthN/AuthZ and fine-grained access control
Familiar with multiple languages including either Go or Python
Experienced in working with healthcare data and APIs
Familiar with the FHIR and/or TEFCA standards

$140,000 - $180,000 a year

We are a remote first company that believes that in-person interactions are beneficial. You should be comfortable traveling about once a quarter to collaborate with teammates face to face.

We will offer youâ¦

â¢ Competitive compensation that reflects the value you bring to the team a combination of cash and equity

â¢ Robust benefits that include health insurance, wellness benefits, 401k with a match, unlimited PTO

â¢ Opportunity to work alongside a passionate team that is determined to help change the world (and have fun doing it)

Please Note: Research shows that candidates from underrepresented backgrounds often donât apply unless they meet 100% of the job criteria. While we have worked to consolidate the minimum qualifications for each role, we arenât looking for someone who checks each box on a page; weâre looking for active learners and people who care about disrupting the current healthcare system with their unique experiences.

We do not conduct interviews by text nor will we send you a job offer unless you've interviewed with multiple people, including the Director of People & Talent, over video interviews. Job scams do exist so please be careful with your personal information.

Contract Data Architect

2026-03-12T06:00:30+00:00

The Motley Fool is looking for a highly skilled Freelance Data Architect specializing in Snowflake to join our team on an independent contract basis, 40 hours per week. This is a mid to senior level position and requires 5+ years of relevant experience. While this role is flexible and 100% remote, candidates must be located in the United States for consideration. Who are we?The Motley Fool is a purpose-driven financial services company on a mission to make the world smarter, happier, and richer. For 30 years we have been helping people make better investment decisions through transparency, education, and Foolish fun. We are a fast-moving, collaborative team that values high-quality work, curiosity, and initiative. We care deeply about what we do, and we are driven by the impact our work has on real peopleâs financial futures.What does this team do?The Data Democratization, Governance & Strategy team at The Motley Fool is dedicated to making data accessible and actionable for all business end-users. We specialize in the final stretch of data delivery, transforming warehouse data into easily consumable formats. By working collaboratively with third-party vendors and stakeholders, we build data structures that support seamless reporting and valuable business insights. Our close partnerships with business analysts and data engineering ensures that every team at The Motley Fool can leverage data to drive informed decisions and strategic growth.What would you do in this role?We are seeking a skilled contractor with expertise in Snowflake's data warehouse platform to re-architect and optimize our reporting layer. The primary focus of this role will be on improving cost efficiency and compute optimization within Snowflake. The ideal candidate will have strong analytic engineering skills and a deep understanding of Snowflake's architecture to streamline data pro

Senior Engineering Manager Data Pipeline

2026-03-03T23:00:08+00:00

Bloomreach is building the world's premier agentic platform for personalization. We're revolutionizing how businesses connect with their customers, building and deploying AI agents to personalize the entire customer journey.- We're taking autonomous search mainstream, making product discovery more intuitive and conversational for customers, and more profitable for businesses.- We're making conversational shopping a reality, connecting every shopper with tailored guidance and product expertise â available on demand, at every touchpoint in their journey.- We're designing the future of autonomous marketing, taking the work out of workflows, and reclaiming the creative, strategic, and customer-first work marketers were always meant to do.And we're building all of that on the intelligence of a single AI engine â Loomi AI â so that personalization isn't only autonomousâ¦it's also consistent. From retail to financial services, hospitality to gaming, businesses use Bloomreach to drive higher growth and lasting loyalty. We power personalization for more than 1,400 global brands, including American Eagle, Sonepar, and Pandora.Become an Engineering Manager for Bloomreach!Lead our Data Pipeline team â the backbone of data ingestion, real-time event tracking, and long-term data storage for Bloomreach Engagement. Your leadership will directly impact how hundreds of millions of customer interactions are processed, routed, and stored every day across dozens of enterprise e-commerce and beyond-retail verticals.Your starting salary will be from 6 000 â¬ per month, along with stock options and other benefits. Working in one of our Central European offices (Bratislava or Brno) or from home on a full-time basis, you'll become a core part of the Engineering Team.What challenge awaits you?You will take over an established, high-performing Data Pipeline team of 6â7 engineers (including a Staff Engineer / Tech Lead, Senior Engineers, SREs, Data Engineers, and a QA Engineer) from the current Engineering Manager who is moving on to establish a new team.The team owns the hot-path tracking pipeline â the system that ingests, validates, routes, and processes all real-time customer events flowing into Bloomreach Engagement. With rapidly growing enterprise customers pushin

Senior Data Engineer

2026-03-03T22:00:17+00:00

Federato is on a mission to defend the right to efficient, equitable insurance for all. We enable insurers to provide affordable coverage to people and organizations facing the issues of today - the climate crisis, cyber-attacks, social inflation, etc. Our vision is understood and well funded by those behind Salesforce, Veeva, Zoom, Box, etc.

Federato is the only AI-native platform that spans the full policy lifecycle and changes the way insurance work gets done. Better decisioning is built-in, not bolted on: insurers' unique portfolio goals, strategies, rules, and appetite are part of the workflow so underwriters win the right deals, faster. From the moment a submission hits an underwriter's inbox, AI is put to work, triaging submissions with a focus on high-appetite business, delivering real-time feedback on the portfolio, and consolidating workflows into a single proven system. Federato drives better business outcomes.

Role Overview
You'll be joining a small, high-impact data engineering team within Federato's AI/ML organization. Our focus is on building the infrastructure and internal frameworks that empower machine learning engineers to develop, deploy, and iterate on AI-powered features ranging from prompt-based LLM workflows to more traditional model-driven systems. We collaborate closely with ML, analytics, and product teams to ensure data and tooling are reliable, scalable, and aligned with the needs of our AI-native platform.

What You'll Be Doing:

Collaborate with Data Science, Product Managers and Software Engineers to build robust ETL pipelines that enable the Product Support team to deliver compelling user-facing features
Contribute to architecture decisions, observability tooling, and dat

Data Engineer

2026-03-03T22:00:07+00:00

About Mento

Mento is a career technology company that helps people be exceptional and thrive at work through human, AI, and software-based coaching. We're on a mission to provide people access to the best support, advice, and mentorship at work and empower them to take action on it. In a world where jobs and careers are rapidly changing, we believe that transformational growth and continuous improvement is mandatory for people and companies to thrive. We are on a mission to bring our unique model of coaching to every member of the global workforce.

We strive to create a fun, conscientious, collaborative, and supportive work environment. We are a US-based, remote-first company, backed by leading VCs and angel investors.

About The Role

We're looking for our first Data Engineer to build the data infrastructure that powers insights and features across our coaching platform. You'll own data pipelines for coaching sessions, user analytics, and business operations, while establishing the foundation for our data architecture.

This is not purely about business analytics - In this role, you'll join our engineering team and work closely with product, engineering, coaching, and leadership teams. You'll be embedded in product developmentâunderstanding feature requirements, instrumenting data collection, and building systems that power product capabilities.

Key Responsibilities:

Build data pipelines for coaching and user analytics. You'll create pipelines that process coaching session data, user interactions, and AI-generated outputs. These pipelines will power everything from product analytics to coaching effectiveness metrics to business intelligence dashboards.

Build data systems that power product features. You'll create data pipelines that feed back into the productâuser progress tracking, coaching insights, customer dashboards, and more. You'll work with product and engineering to understand what data products need and build reliable systems to deliver it.

Establish our data infrastructure and architecture. As our first data engineer, you'll make key decisions about our data st

Senior Software Engineer Data Observability

2026-02-19T06:03:08+00:00

DataHub is an AI & Data Context Platform adopted by over 3,000 enterprises, including Apple, CVS Health, Netflix, and Visa. Innovated jointly with a thriving open-source community of 13,000+ members, DataHub's metadata graph provides in-depth context of AI and data assets with best-in-class scalability and extensibility.The company's enterprise SaaS offering, DataHub Cloud, delivers a fully managed solution with AI-powered discovery, observability, and governance capabilities. Organizations rely on DataHub solutions to accelerate time-to-value from their data investments, ensure AI system reliability, and implement unified governance, enabling AI & data to work together and bring order to data chaos.About the RoleWe're seeking an experienced Site Reliability Engineering (SRE) Tech Lead to join DataHub and drive the reliability, scalability, and operational excellence of our platform offerings. In this role, you'll lead technical initiatives across DataHub Cloud and our emerging enterprise deployment solution, which provides customers with enhanced control and flexibility for running DataHub in their preferred environments.Key ResponsibilitiesTechnical Leadership & Architectureâ¢ Design and implement robust, scalable infrastructure solutions for DataHub Cloud and enterprise deploymentsâ¢ Lead the technical vision for multi-cloud deployment strategies and distributed system integrationsâ¢ Architect monitoring, observability, and alerting systems across diverse environmentsâ¢ Drive best practices for infrastructure as code, configuration management, and deployment automationEnterprise Platform Developmentâ¢ Partner with product and engineering teams to influence the development of advanced deployment capabilitiesâ¢ Collaborate with

Senior Data Engineer

2026-02-18T22:01:33+00:00

Why Join Exadel

Weâre an AI-first global tech company with 25+ years of engineering leadership, 2,000+ team members, and 500+ active projects powering Fortune 500 clients, including HBO, Microsoft, Google, and Starbucks.

From AI platforms to digital transformation, we partner with enterprise leaders to build whatâs next.
What powers it all? Our people are ambitious, collaborative, and constantly evolving.

About the Client

A U.S.-based education services provider offering online and campus-based post-secondary education, primarily serving military personnel, veterans, and public service communities. The organization delivers degree and certificate programs across disciplines such as nursing, health sciences, business, IT, and liberal arts. In addition to its headquarters in West Virginia, the customer operates facilities and partner institutions across the United States. The primary product areas to work with are learning management systems, student enrollment, and academic operations on web and mobile platforms.

What Youâll Do

Design, implement, and maintain scalable data pipelines using Snowflake, Coalesce.io, Airbyte, and SQL Server/SSIS, with some use of Azure Data Factory
Build and maintain dimensional data models to ensure high-quality, structured data for analytics and reporting
Implement Medallion architecture in Snowflake, managing bronze, silver, and gold layers
Collaborate with teams using Jira for task tracking and GitHub for code repository management
Ensure reliable ETL processes, data transformations, and data integration workflows
Help improve data modeling practices and address weaknesses in dimensional modeling

What You Bring

Hands-on experience with Snowflake, Coalesce.io, Airbyte, SQL Server/SSIS, and Azure Data Factory
Strong understanding of Medallion architecture and dimensional data modeling
Practical experience in building ETL pipelines and transforming data for analytics
Familiarity with Jira and GitHub for collaborative work
Strong analytical and problem-solving skills, with ability to collaborate across teams
Minimum 4-hour overlap with US Eastern Time

Nice to Have

Exposure to Power BI (optional)Experience with Salesforce data integrationBackground in higher education / ed-tech domains

English level

Intermediate/Upper-Intermediate

Legal & Hiring Information

Exadel is proud to be an Equal Opportunity Em

Senior Data Engineer

2026-02-14T06:03:34+00:00

Join Our Team

Oowlish, one of Latin America's rapidly expanding software development companies, is seeking experienced technology professionals to enhance our diverse and vibrant team.

As a valued member of Oowlish, you will collaborate with premier clients from the United States and Europe, contributing to pioneering digital solutions. Our commitment to creating a nurturing work environment is recognized by our certification as a Great Place to Work, where you will have opportunities for professional development, growth, and a chance to make a significant international impact.

We offer the convenience of remote work, allowing you to craft a work-life balance that suits your personal and professional needs. We're looking for candidates who are passionate about technology, proficient in English, and excited to engage in remote collaboration for a worldwide presence.

About the Role:

We are seeking a Senior Data Engineer with strong expertise in enterprise data modeling and AWS-based data platforms to support a mature and evolving data ecosystem. This role requires hands-on experience working with large-scale data environments, optimizing data models, and maintaining event-driven pipelines in a cloud-native architecture.

You will work across data modeling, pipeline development, API data support, and infrastructure collaboration. This position is ideal for someone comfortable operating in enterprise environments, maintaining production-grade systems, and improving performance and scalability across a modern AWS data stack.

This is a 6-month engagement with ET time zone alignment required.

Must-Have:

6+ years of experience in Data Engineering
Strong experience with Snowflake and Aurora Postgres
Advanced SQL and data modeling expertise (logical & physical design)
Hands-on experience with AWS data services (Glue, Lambda, DMS, EventBridge)
Strong Python experience for data pipelines
Experience supporting enterprise-scale data platforms
Experience with CI/CD (GitHub Actions)
Comfortable working in the ET time zone

Nice to Have:

Experience working with Terraform
Exposure to artifact management and infrastructure-as-code best practices
Experience in performance tuning at scale
Experience implementing automated data quality frameworks
Prior experience in enterprise or large distributed systems

Benefits & Perks:

Home office;

Competitive compensation based on experience;

Career plans to allow for extensive growth in the company;

International Projects;

Oowlish English Program (Technical and Conversational);

Oowlish Fitness with Total Pass;

Games and Competitions;

You can also apply here:

Website: https://www.oowlish.com/work-with-us/

LinkedIn: https://www.linkedin.com/company/oowlish/jobs/

Instagram: https://www.instagram.com/oowlishtechnology/

Principal Data Operations & Migration Lead

2026-02-14T06:03:27+00:00

About StarCompliance

StarCompliance is on a mission to make compliance simple and easy. Trusted globally by enterprise financial institutions, the user-friendly STAR platform empowers organizations to achieve regulatory compliance while safeguarding their integrity and business reputations. Through a customizable, 360-degree view of employee activity, the STAR software enables firms to automate the detection and resolution of potential areas of conflict while streamlining daily workflows and increasing efficiency.

Role

StarCompliance is looking for a senior, hands-on Data Operations & Migration Specialist to oversee our data feed operations and client data migration capabilities. This role combines technical leadership with day-to-day delivery, acting as a player coach who sets direction, unblocks issues, and still gets hands-on when it matters.

You will own the operational health of broker and client data feeds, lead complex data migration initiatives during client onboarding, and provide mentorship and technical guidance to engineers and analysts across both functions. Deep domain knowledge in financial services data, particularly regulated trading, transaction, or reference data, is critical.

This role sits within the Enterprise Data function and works closely with R&D, Client Support Services, Professional Services, and Relationship Management to ensure client data is secure, accurate, compliant, and delivered on time.

Responsibilities

Leadership Responsibilities
Provide technical and operational leadership across Data Operations and Data Migration functions.
Act as a player coach, balancing hands-on delivery with coaching, mentoring, and upskilling team members.
Set standards for operational excellence, data quality, documentation, and incident management.
Own prioritisation and workload planning across feeds and migrations, ensuring delivery commitments are met.
Serve as the escalation point for complex data issues, client escalations, and high-risk migrations.
Partner with Product, Engineering, and Professional Services to influence roadmap decisions and onboarding strategies.
Act as a trusted technical partner for internal teams and external stakeholders during onboarding and operational change.
Translate complex technical and data concepts into clear, actionable guidance for non-technical audiences.
Contribute to client-facing discussions where deep data or feed expertise is required.

Data Feed Operations Ownership
Oversee the delivery, maintenance, and evolution of StarComplianceâs broker and client data feed infrastructure.
Ensure secure setup and ongoing management of SFTP connectivity, access permissions, and encryption standards.
Own operational monitoring of daily and intraday feeds, proactively identifying trends, risks, and failure patterns.
Drive continuous improvement across feed automation, resilience, monitoring, and alerting.
Work closely with the wider Enterprise Data engineering team on feed-related enhancements and defect resolution.
Ensure platforms such as MoveIt and associated automation tooling are stable, well configured, and fit for scale.

Data Migration Leadership
Oversee the planning and execution of complex data migrations from third-party vendors into StarCompliance products.
Define and review migration strategies, data mappings, validation approaches, and cutover plans.
Ensure data integrity, accuracy, and regulatory compliance throughout the migration lifecycle.
Provide hands-on support for data analysis, transformation, and validation where required.
Oversee post-migration support, ensuring issues are resolved quickly and root causes addressed.

Skills & Experience

Strong experience in financial services, fintech, regtech, or similarly regulated data environments.

Deep domain knowledge of financial broker feeds, file-based integrations, and operational data pipelines.

Hands-on experience with SQL Server, including T-SQL for investigation and data validation.

Strong understanding of ETL processes and tooling.

Experience with secure file transfer technologies and encryption standards, including SFTP, PGP/GPG, and SSH.

Proficiency in scripting and automation using tools such as PowerShell, Python, and SQL.

Proven experience leading data operations or data migration initiatives in production environments.

Ability to balance strategic thinking with hands-on delivery.

Excellent problem-solving skills and calm decision-making under pressure.

Minimum Qualifications

Bachelorâs degree in Computer Science, Information Systems, Engineering, or equivalent professional experience.
Proven leader with 5+ years in data operations, data engineering, data migration, or related technical roles, ideally within financial services or compliance technology.

How We Think About AI..

At StarCompliance, AI is not a side experiment or a specialist niche. We treat it as a practical capability that strengthens how we operate, scale, and deliver secure, high quality data services.

In Enterprise Data, we expect senior leaders to:
Use AI assisted tools to improve operational efficiency.
Stay informed about how AI can enhance data operations, migration strategy, and automation in regulated environments.
Apply AI thoughtfully, with strong awareness of data security, client confidentiality, regulatory risk, and cost.
Help the team adopt AI responsibly in day-to-day operations, without compromising control, traceability, or compliance standards.

StarCompliance Background Checks

All positions require pre-employment screening due to employees potentially having access to highly sensitive and confidential information involving finance and compliance; candidates must be trustworthy and have a heightened sensitivity to protecting confidential financial, professional information. To be eligible for employment with StarCompliance, candidates must undergo a rigorous background investigation with checks including, but not limited to, criminal record history, consumer credit, employment history, qualifications, and education checks.

Equal Opportunity Employer Statement

We prohibit discrimination and harassment of any kind based on race, sex, religion, sexual orientation, national origin, disability, genetic information, pregnancy, gender identity or expression, marital/civil union/domestic partnership status, veteran status or any other protected characteristic as outlined by country, state, or local laws.

This policy applies to all employment practices within our organisation, including hiring, recruiting, promotion, termination, layoff, recall, leave of absence, compensation, benefits, training, and apprenticeship. StarCompliance makes hiring decisions based solely on qualifications, merit, and business needs at the time. For more information, please request a copy of our Equal Opportunities Policy.

Senior Data Engineer

2026-02-07T08:00:49+00:00

At Lalamove, we believe in the power of community. Millions of drivers and customers use our technology every day to connect with one another and move things that matter. Delivery is what we do best and we ensure it is always fast and simple. Since 2013, we have tackled the logistics industry head on to find the most innovative solutions for the worldâs delivery needs. We are full steam ahead to make Lalamove synonymous with delivery and on a mission to impact as many local communities we can. We have massively scaled our efforts across Asia and now have our sights on taking our best in class technology to the rest of the world. And we are looking for talented professionals to join us in this journey!!

As a Senior Data Engineer at Lalamove, you will be joining the global Data team as a key member of our expanding technology team in our new market. Due to the importance of user privacy and our commitment to compliance laws, we need an additional engineer to support our operations in the expanding market, while collaborating closely with our global engineering team.

What you'll do:

Provide production support and incident response of our data in expanding market platform.
Support and troubleshoot technical issues, including the data pipelines running on top of the data platform.
Collaborate with a geographically-dispersed team of engineers to support compliance for the expanding market.
Support ad hoc requests related to expanding market data and operations.

What you'll need:

Legally permitted to work in Malaysia
5+ years of relevant experience in data engineering
Experience in supporting Big Data operations
Proficiency in SQL
Hands-on experience in linux systems and command line operations
Experience in Java and Spring Boot framework
Good command of English, fluency in Mandarin is a plus

To all candidates- Lalamove respects your privacy and is committed to protecting your personal data.

This Notice will inform you how we will use your personal data, explain your privacy rights and the protection you have by the law when you apply to join us. Please take time to read and understand this Notice. Candidate Privacy Notice: https://www.lalamove.com/en-hk/candidate-privacy-notice

Data & Technology Program Manager

2026-02-02T18:00:57+00:00

The Employee Benefits Practice at Cottingham & Butler is seeking a Data & Technology Program Manager to lead the modernization of our systems, data infrastructure, and workflow automation. This role plays a critical part in building a more connected, efficient, and dataâdriven organization. You'll partner closely with technology teams, analysts, and operational leaders to integrate systems, improve processes, and support the adoption of emerging toolsâincluding analytics platforms, cloud technologies, and AI solutions. If you enjoy solving complex problems, driving change, and shaping how data powers business performance, this role offers a meaningful opportunity to make an impact.What You'll Do:Systems Integration & Data Strategy

Partner with technology teams to design and implement connected data solutions across core business platforms.
Lead integration and automation initiatives that create a single, reliable source of truth for client, policy, and financial data.
Maintain data governance documentation, including data definitions, quality standards, and ownership models.
Support reporting and analytics infrastructure to ensure secure, accurate, and timely access to data.
Evaluate and pilot emerging technologiesâincluding AI and automation toolsâto enhance operational performance.

Process Improvement & Operational Efficiency

Analyze and redesign workflows to eliminate manual processes and redundant data entry.
Translate operational needs into system enhancements and technology requirements.
Document workflows, data models, and accountability structures to ensure clarity and alignment.

CrossâFunctional Collaboration & Change Management

Serve as the primary liaison between the Benefits Practice and internal technology teams.
Participate in planning and governance discussions to ensure alignment with broader organizational technology standards.
Support change management efforts by communicating project timelines, progress,

Engineering Manager Data

2026-02-01T06:00:28+00:00

About Us at GoCardless

GoCardless is a global bank payment company. Over 100,000 businesses, from start-ups to household names, use GoCardless to collect and send payments through direct debit, real-time payments and open banking.

GoCardless processes US$130bn+ of payments annually, across 30+ countries; helping customers collect and send both recurring and one-off payments, without the chasing, stress or expensive fees. We use AI-powered solutions to improve payment success and reduce fraud. And, with open banking connectivity to over 2,500 banks, we help our customers make faster, more informed decisions.

We are headquartered in the UK with offices in London and Leeds, and additional locations in Australia, France, Ireland, Latvia, Portugal and the United States.

At GoCardless, we're all about supporting you! Weâre committed to making our hiring process inclusive and accessible. If you need extra support or adjustments, reach out to your Talent Partner â weâre here to help!

And remember: we donât expect you to meet every single requirement. If youâre excited by this role, we encourage you to apply!

The Role

We are looking for an experienced Engineering Manager to lead our Data and Analytics Platform teams. You will be accountable for building and operating the foundational data infrastructure that powers decision-making across GoCardless, while developing a high-performing team of data engineer

Analytics Engineer

2026-01-30T22:00:33+00:00

About us

Relay is a cross-chain payments protocol that provides instant low cost cross-chain bridging, swaps, and transactions. We're the fastest and cheapest way to bridge and transact across chains, serving over 5 million users who have completed 59+ million transactions with $6+ billion in volume across 85+ chains.

Our company mission is to make transacting across chains as fast, cheap, and reliable as online payments. We are building the core infrastructure to abstract chains from end user payments, enabling the next billion users to experience the benefits of blockchain without the UX burdens. We are bringing the Relay Network to market through our consumer app (relay.link) and major ecosystem partners, including Opensea, Alchemy, LiFi, Metamask, Coinbase, and more.

About the role

We're looking for an Analytics Engineer to help us make sense of cross-chain data at scale. You'll build the data models and pipelines that power decisions across our organization, from daily metrics to strategic insights.

What you'll do

Build the data foundation

Transform raw blockchain and production data into clean, reliable datasets
Own core analytics models across our medallion architecture
Partner with data engineering on ingestion pipelines

Work with blockchain data

Model transaction data across dozens of chains (swaps, bridges, fees, capital flows)
Integrate pricing feeds and partner data for competitive analysis

Enable analysis

Gather requirements from product, business, and operations teams
Design and standardize key metrics
Build dashboards and enable self-service analytics

About you

You care a lot about data quality and metric consistency
You know when to ask questions and how to analyze what's actually needed
You proactively find opportunities to explore and use data
You can translate technical concepts easily for non-technical stakeholders
You're excited about blockchain and on-chain data
You're comfortable with ambiguity and good at pivoting when needed

Skills and abilities

You have 3-5+ years in data analytics roles
You have very strong SQL and data modeling experience
You have experience with modern tools (e.g., dbt, Airflow, Dagster, or similar)
You're comfortable with large, complex datasets and semi-structured data

What we offer

Competitive base salary
Equity package
Comprehensive health benefits
Unlimited PTO policy with encouraged minimum
Remote-first culture with emphasis on collaboration, communication and flexibility

ML AI Ops Engineer

2026-01-27T06:05:18+00:00

Veeam, the #1 global market leader in data resilience, believes businesses should control all their data whenever and wherever they need it. Veeam provides data resilience through data backup, data recovery, data portability, data security, and data intelligence. Based in Seattle, Veeam protects over 550,000 customers worldwide who trust Veeam to keep their businesses running. Join us as we move forward together, growing, learning, and making a real impact for some of the world's biggest brands. The future of data resilience is here - go fearlessly forward with us.About the RoleWe're looking for an ML/AI Ops Engineer

Senior Backend Engineer Infrastructure

2026-01-25T03:00:05+00:00

About ClickHouse

Recognized on the 2025 Forbes Cloud 100 list, ClickHouse is one of the most innovative and fast-growing private cloud companies. With over 2,000 customers and ARR that has more than quadrupled over the past year, ClickHouse leads the market in real-time analytics, data warehousing, observability, and AI workloads. ClickHouse's incredible momentum was confirmed in its recent $400M Series D financing round. We're on a mission to transform how companies use data. Come be a part of our journey!

About the Team

The ClickPipes Platform plays a critical role in driving the growth of our company and ensuring the success of our clients by seamlessly onboarding and integrating data from diverse data sources into ClickHouse. Working at a petabyte scale and in high-velocity environments, this role offers an exceptional opportunity to solve challenging technical problems, operate with significant autonomy, and make a measurable impact.

You can find some of the teams recent work highlighted in our blog:

We are looking for exceptional backend engineers who can work across a variety o

Senior Program Coordinator Data Operations

2026-01-23T06:01:49+00:00

Who is Blueprint?

We are a technology solutions firm headquartered in Bellevue, Washington, with a strong presence across the United States. Unified by a shared passion for solving complicated problems, our people are our greatest asset. We use technology as a tool to bridge the gap between strategy and execution, powered by the knowledge, skills, and expertise of our teams, who all have unique perspectives and years of experience across multiple industries. We're bold, smart, agile, and fun.

What does Blueprint do?

Blueprint helps organizations unlock value from existing assets by leveraging cutting-edge technology to create additional revenue streams and new lines of business. We connect strategy, business solutions, products, and services to transform and grow companies.

Why Blueprint?

At Blueprint, we believe in the power of possibility and are passionate about bringing it to life. Whether you join our bustling product division, our multifaceted services team or you want to grow your career in human resources, your ability to make an impact is amplified when you join one of our teams. You'll focus on solving unique business problems while gaining hands-on experience with the world's best technology. We believe in unique perspectives and build teams of people with diverse skillsets and backgrounds. At Blueprint, you'll have the opportunity to work with multiple clients and teams, such as data science and product development, all while learning, growing, and developing new solutions. We guarantee you won't find a better place to work and thrive than at Blueprint.

In This Role

You will support the operations and data management efforts of a key planning and master data program, helping ensure accurate, timely, and well-governed data flows across the organization. This position blends program coordination, data validation, and governance support with hands-on execution in master data systems. You'll work closely with internal planning, engineering, category, and program teams, assist with data preparation for scenario planning cycles, and help maintain MI, trackers, and audit-ready documentation. This is a great fit for someone who is highly detail-oriented, excels at cross-team collaboration, and has experience managing complex datasets or supporting operational pro

Data Conversion Engineer

2026-01-22T22:00:36+00:00

The Data Conversion Engineer is responsible for converting online banking data for new clients into the Lumin Digital platform, along with performing select technical configurations of the Lumin Digital banking product. This role partners closely with clients and internal teams, providing technical consultation from implementation kickoff through production launch. The Data Conversion Engineer loads, validates, and troubleshoots data received from external vendors, ensuring accuracy, scalability, and successful client launches. The ideal candidate has a strong technical foundation, excellent analytical and troubleshooting skills, and the ability to communicate complex technical concepts effectively in a client-facing environment. Essential Functions and Responsibilities: Map, load, validate, and test data received in various file formats. Meet with clients to iron out any data related issues. Collaborate with development, services, product, and support teams in cross-functional init

Senior Software Engineer Data Platform

2026-01-22T22:00:25+00:00

Overview: We are looking for an experienced software engineer to own, maintain, and evolve our production data and machine learning platform. This role is responsible for the reliability, architecture, and scalability of the pipelines and systems that power our core data products, which transform millions of data points into unparalleled opportunities â supporting everything from electing Democrats to combating climate change throughout the world. With us, youâll put your skills to use for disruptive innovation that powers social good. Youâll join a product team that is deeply devoted to inclusion, particularly in the following three areas: Process: We create a context in which everyone is empowered to contribute. Machine Learning: We are committed to using the power of data to support important causes. Philanthropy: We empower diverse groups of individuals to participate in giving. With us, youâll put your skills to use for innovation that powers social good. We want your ideas

Senior Software Engineer Data

2026-01-20T06:01:17+00:00

About Freshpaint:

Customer data is the fuel that drives all modern businesses. From product analytics, to marketing, to support, to advertising, advanced data analysis in the warehouse, and even sales â customer data is the raw material for each function at a modern business.

For highly regulated businesses in healthcare, itâs always been a challenge to harness that customer data and get it to the marketing and analytics tools that require it while following patient privacy lawsâ¦.until now.

Something as simple as running ads to get more users is simple for an e-commerce of software company to do. But common web analytics and advertising tools collect sensitive user identifiers and healthcare information automatically. Those same tools are not HIPAA compliant.

We provide a layer of data governance to make current web analytics tools HIPAA-compliant. For analytics, our customers can continue getting the insights they need to improve the patient experience. For marketing, Freshpaint safeguards health information while helping our customers promote access to care through popular advertising platforms like Facebook, Google, and others.

In short, we help healthcare marketers promote access to care and safeguard patient privacy at the same time. This is an important, complex problem in a massive market (healthcare is 20% of the US GDP).

Our customers manage their customer data with:

Privacy Platform. We help healthcare providers automate their websiteâs + appâs HIPAA compliance, and safeguard patient data. This is our core product today
Future additional product lines! Our core product provides a platform that we're building marketing applications on top of.

Weâre fully remote. If you strongly value in-person work, Freshpaint is likely not the best fit for you. Even though we donât care where youâre located, we only hire within the US. Many of our team is concentrated in various metro areas like SF or NYC. To balance out our remote-ness, we gather the team 2x times per year for offsites. Weâre backed by leading investors including Y-Combinator, Intel Capital, and angel investors like the Head of Data from Slack, Head of Data at LinkedIn, and more.

Who we are:

Freshpaint was founded by web analytics veterans who realized how hard it was for highly regulated companies to collect and use customer data in a compliant way. We started as part of Y Combinatorâs S19 cohort and have been focused on enabling healthcare companies collect, safeguard, and activate patient data since.

In 2022 the government issued updated guidance around HIPAA, basically making our software a requirement to use for healthcare companies. As a result, we're one of the fastest growing software companies on earth right now.

Our team has deep analytics and growth experience, with all of us coming from high-growth companies like Heap, Pendo, Iterable, Quantum Metric, and Retool. If you value lots of freedom and ownership in your work, interfacing with customers, and working on a product with high customer impact, then Freshpaint is your home.

About the Role

At Freshpaint, we believe that strong Engineering teams are built of individuals who

Solve problems, not tickets â Jump into unfamiliar territory and learn what's needed to move the team forward
Think like owners â Focus on delivering measurable business impact rather than completing tasks
Elevate others â Actively mentor, unblock, and celebrate teammates, knowing the team's wins are your wins

We are looking for a Senior Software Engineer - Data to join one of our Product-oriented teams. As Freshpaint has grown, our Products have become more sophisticated and increasingly leveraged multiple sources of data. Weâre seeking a Software Engineer who has competencies in Data and Data Engineering to help us shape the next generation of Freshpaint Products. We believe thereâs a big opportunity ahead, and this person will contribute to the teamâs success by building new products and by influencing how we incorporate data into our Product offerings.

What Youâll Do

Use your expertise to build Software Products that rely on data
- Deliver business outcomes by either directly owning, or guiding others to build reliable and scalable products
- Mentor engineers and analysts on best practices for data quality, reliability, testing, monitoring, and documentation
- Partner closely with analytics, product, and engineering teams to identify data requirements and translate them into robust, scalable solutions
Join customer calls (both internal teams and external users) to hear firsthand what problems they're solving and what features actually move the needle
Design and refine data models that underpin product functionality while implementing monitoring systems to ensure reliability and performance
Collaborate with our Data Guild to define the organizationâs data strategy influencing decisions on tooling, architecture, and engineering standards
Solve problems side-by-side with team members through a combination of pairing and solo work

If this sounds like you, we would love to chat!

What Weâre Looking For

5+ years of experience in building Products, either in Software Engineering, Data engineering or a closely related role
Strong customer orientation, with a focus on details that drive product impact and customer value
Proven experience building and maintaining production-grade data pipelines
Proficiency in application development
Proficiency in SQL and at least one data engineering language (e.g., Python, Scala, or Java)
Hands-on experience with large-scale data warehouses, regardless of specific tooling
Experience with data visualization and the ability to tell clear, compelling stories with data
Hands-on experience with modern data warehouses and data modeling best practices
Experience working with cloud-based data platforms (AWS, GCP, or Azure)
Familiarity with orchestration tools, version control, and CI/CD best practices
Ability to work independently, make sound architectural decisions, and thrive in ambiguous environments
Strong communication skills and comfort collaborating with both technical and non-technical partners

Nice to Have

Experience being an early data engineer at a company
Experience with Golang, Typescript, Data Build Tool
Experience with tools like Snowflake, Looker, or Fivetran
Experience with analytics engineering or BI tooling
Prior experience helping scale a data platform as the company grows

Why This Role Is Exciting

Build the foundation for what's next. You'll architect the data systems and strategy that power Freshpaint's future, shaping how the company scales for years to come
See your impact everywhere. Your work will touch every team and product at Freshpaint, giving you visibility into how engineering decisions drive real business outcomes
Code one day, strategize the next. You'll split your time between writing code and making architectural decisions that set technical direction, perfect if you want to keep your hands on the keyboard while influencing the big picture

Interview Process

At the start of the call, we will briefly go through a few standard verification steps to ensure weâre speaking to the right person. This helps protect both candidates and our team against AI misuse. If at any point we get the sense we arenât speaking with the right candidate, we reserve the right to end the call early.

Recruiter Screen
Hiring Manager Call
Virtual Onsite with Technical Pairings
CEO Interview
Offer!

Perks & Benefits

We take care of our teamâhereâs a peek at what you get when you join:

Competitive pay + generous equity (10-year exercise window)
Fully remote (U.S. only) with a $150/month coworking stipend
Half-day Fridays, every Friday
Unlimited PTOâwith a required 2-week minimum
Top-tier health, dental & vision (100% covered for you, 80% for dependents)
2 âTreat Yourselfâ days a yearâ$100 and a day off, just because
Generous parental leave
Epic offsites twice a year (past trips: Greece, Jackson Hole, Cabo, wine country + more)

And moreâcheck out our careers page for the full list.

Senior Manager Revenue Operations

2026-01-16T14:00:30+00:00

OpenRouter is hiring its first RevOps professional who can build the systems, analytics, and processes that underpin a high-growth GTM organization. Our AE and BDR teams are scaling rapidly, and this role requires someone who can architect CRMs, create accurate forecasting models, run commissions, and ensure clean data across the entire funnel. You should enjoy solving complex operational challenges in environments where things change quickly and frequently.

This role is ideal for someone who has supported early-stage GTM teams and knows how to create clarity from chaos. You should be analytical, detail-oriented, and technically strong, with the ability to partner cross-functionally with Sales, Marketing, and Finance. If you want to build the operational backbone of a category-defining GTM team, this is the right fit.

What Youâll Do

Own CRM administration, reporting, and workflow configuration.
ââPartner with Account Executives to design business value assessment frameworks that quantify customer impact and support enterprise deal strategy.
Manage commissions calculations and compensation processes.
Build and maintain forecasting models for GTM leadership.
Develop dashboards covering pipeline, conversion, and rep performance.
Ensure data integrity across systems and workflows.
Support pricing, packaging, and process experiments.
Design a customer lifecycle process from quote generation through implementation.

Qualifications

7+ years RevOps experience in SaaS
Strong CRM admin and operational analytics skills
Experience supporting early-stage GTM teams
Highly structured and detail-obsessed operator
Comfortable with forecasting and commissions
Strong communicator able to translate data into insights
Thrives in fast-changing, ambiguous environments
Bias toward automation and process simplification

Staff Data Software Engineer

2026-01-15T09:00:05+00:00

Lookout, Inc. is the endpoint to cloud security company purpose-built for the intersection of enterprise and personal data. We safeguard data across devices, apps, networks and clouds through our unified, cloud-native security platform â a solution that's as fluid and flexible as the modern digital world. By giving organizations and individuals greater control over their data, we enable them to unleash its value and thrive. Lookout is trusted by enterprises of all sizes, government agencies and millions of consumers to protect sensitive data, enabling them to live, work and connect â freely and safely. To learn more about the Lookout Cloud Security Platform, visit www.lookout.com and follow Lookout on our blog, LinkedIn and Twitter. As a Staff Software Engineer on the Data Engineering team, you will contribute broadly to the data engines, ETL pipelines, analysis and aggregation services, and other core intellectual property related services at Lookout. This position is an opportunity to take on some of the most interesting challenge

Analytics Engineer

2025-12-17T14:00:39+00:00

Why Socure?

Socure is building the identity trust infrastructure for the digital economy â verifying 100% of good identities in real time and stopping fraud before it starts. The mission is big, the problems are complex, and the impact is felt by businesses, governments, and millions of people every day.

We hire people who want that level of responsibility. People who move fast, think critically, act like owners, and care deeply about solving customer problems with precision. If you want predictability or narrow scope, this wonât be your place. If you want to help build the future of identity with a team that holds a high bar for itself â keep reading.

About the Role

We are looking for an experienced Analytics Engineer to own and evolve the BI teamâs technical infrastructure (Snowflake, dbt, GitLab CI/CD, scheduling frameworks, and ingestion tooling) while ensuring all BI systems and workflows remain fully aligned with the broader Data Engineering architecture and design principles. This role is responsible for keeping the BI environment scalable, maintainable, and consistent with the companyâs overall data platform strategy.

You will collaborate closely with Data Engineering, who manage the source-to-mesh pipelines, and build everything needed to deliver clean, reliable, analytics-ready data into the BI workspace. This includes developing curated data layers, ensuring pipeline reliability, maintaining governance standards, and enabling efficient downstream analytics across dashboards, reporting, and domain models.

Why âAnalyticsâ Engineer?

This role is intentionally scoped as an Analytics Engineer, not just a data or platform engineer because success requires:

Understanding analytics use cases, business metrics, and performance KPIs
Designing data models that correctly support those metrics and semantic definitions
Working closely with business stakeholders to gather context and ensure data structures reflect real-world logic
Balancing technical efficiency with analytical usability, building data assets that analysts and business teams can reliably use for decision-making

You will serve as the bridge between technical data systems and the analytical needs of the business.

Responsibilities

Own and enhance BI infrastructure

Administer and optimize our Snowflake data warehouse (roles, performance, cost control, governance).
Maintain and scale dbt projects including core models, tests, documentation, semantic modeling, and deployments.
Manage GitLab pipelines/runners to support robust CI/CD for BI assets.
Oversee job scheduling and orchestration for BI transformations and data flows.
Own ingestion pipelines relevant to BI data needs.

Bridge the gap between Data Engineering and BI

Collaborate with Data Engineering to understand upstream mesh data products with BI analysts to understand business logic, metrics definitions, and performance targets.
Extend mesh data into curated BI data layers optimized for analytics.
Design data structures that support accurate, scalable analytics (fact tables, dimensions, semantic layers).
Participate in architectural decisions to align upstream pipelines with downstream analytical requirements.

Deliver data experiences to end users

Build custom solutions (APIs, extracts, materialized datasets, governed marts) to deliver data in the right format for each use case.
Implement robust testing, monitoring, and reliability processes for BI pipelines.
Ensure fast, reliable data availability for business stakeholders.

Support and guide BI initiatives

Partner with BI Analysts to maintain a reliable modeling environment and help unblock analytical workflows.
Recommend the most effective data modeling approaches and development processes, considering business priorities and resource limits.
Participate in tooling evaluations and decisions, ensuring solutions fit BI use cases and organizational architecture.
Provide clarity in ambiguous situations and advise leadership on risks, dependencies, and sequencing of work.

Qualifications

Required

3-5+ years as an Analytics Engineer, Data Engineer, or similar role with a strong analytics orientation.
Strong proficiency with Snowflake and familiarity with AWS analytics services (Redshift, Athena, S3, SageMaker, etc.).
Expertise in SQL, Python, and Spark for data processing, automation, and custom integrations.
Experience with dbt and modern data modeling best practices.
Hands-on experience with Git-based CI/CD workflows (GitLab preferred).
Familiarity with ingestion tools such as Fivetran.
Proven ability to translate business requirements and metric definitions into robust, scalable data models.
Strong communication and stakeholder management skills.

Nice-to-Have

Experience supporting BI or analytics teams directly.
Knowledge of semantic layers, metrics stores, or analytics engineering frameworks.
Python experience for automation, orchestration, or custom integrations.
Familiarity with data mesh principles and domain-oriented data products.
Experience optimizing cross-cloud data architecture or hybrid environments.

Socure is an equal opportunity employer that values diversity in all its forms within our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
If you need an accommodation during any stage of the application or hiring processâincluding interview or onboarding supportâplease reach out to your Socure recruiting partner directly.

Follow Us!

YouTube | LinkedIn | X (Twitter) | Facebook

Senior Data Engineer

2025-12-10T20:00:01+00:00

Who We Are and What We are Doing:

Ethena Labs is actively building and deploying a suite of groundbreaking digital dollar products aiming to upgrade money into the internet era.

Our flagship product, USDe, is a synthetic dollar backed by digital assets, and takes the novel approach of using a delta-neutral hedged basis strategy to maintain its peg. This product scaled from zero to $15b in 18 months.

Expanding on this, iUSDe is designed specifically for traditional financial institutions, incorporating necessary compliance features to enable them to access the crypto-native rewards our protocol generates, in an institutional-friendly manner.

Ethena has also developed USDtb: a fiat backed GENIUS compliant stablecoin in partnership with BlackRock which has scaled to ~$2b.

These products are also offered in a whitelabel stablecoin offering where any application, chain, wallet or exchange can launch their own stablecoin on Ethena's back-end infrastructure.

Through these offerings, Ethena Labs is not just creating new financial products; we are building the foundational infrastructure for a more open, efficient, and interconnected global financial system.

Open job offerings will be focused on two new major product lines coming to market in the next few months.

Join us!!

The Senior Data Engineer is a critical role reporting directly to the CTO. The primary mission is to rapidly deliver a reliable, production-ready market data platform that serves as the single source of truth for trading, risk, and business intelligence.

Youâll immediately own the entire data platform from inception and deliver working historical and real-time Tardis pipelines in the first 60 days. Beyond the initial MVP, the role requires iteratively evolving the platform into a best-in-class, cloud-native, observable, and self-service system. You will work hand in hand with the CTO & trading team to scope & deliver to business needs. The Senior Data Engineer will also serve as the go-to data expert for the firm and will be responsible for mentoring future junior data engineers or analysts.

What Youâll Do

Rapidly spin up the cloud environment. Deliver working historical backfill pipelines from Tardis.dev into a queryable database.
Deliver a real-time Tardis WebSocket pipeline, ensuring data is normalized, cached for live consumption, accurate, replayable, and queryable by Day 60.
Ensure all pipelines are idempotent, retryable, and use exactly-once semantics. Implement full CI/CD, Terraform, automated testing, and secrets management.
Implement proper observability (structured logs, metrics, dashboards, alerting) from day one. Provide immediate self-service access to the MVP database for Trading and BI teams via tools like Tableau/Metabase, and through simple internal REST APIs.
Develop specialized timeseries data, including USDe backing-asset and a full opportunity-surface timeseries for Delta-neutral/lending/borrow opportunities.
Ingest data from additional sources (Kaiko, CoinAPI, on-chain via TheGraph/Dune). Plan for 10x+ data growth via schema evolution, partitioning, and performance tuning. Establish enterprise-grade governance, including a data quality framework, RBAC, audit logs, and a semantic layer.
Create full architecture documentation, runbooks, and a data dictionary. Onboard and mentor future junior staff.

What Weâre Looking For

Proven track record of delivering working, production data in weeks, not months, with the ability to ruthlessly cut scope to hit a 60-day MVP while managing technical debt.
Have built Tardis historical and real-time pipelines before (or equivalent high-quality crypto market data feeds), understanding specific quirks, rate limits, and WebSocket structures.
Expert in large-scale, reliable ETL/ELT for financial or market data.
Fluent in provisioning full environments with Terraform in days and expert in AWS/GCP serverless technologies.
Expert Python and SQL skills and proficiency with time-series databases like TimescaleDB or ClickHouse, ensuring fast queries from day one.
Advanced knowledge of WebSocket clients, message queues, and low-latency streaming, GitOps, automated testing/deploy and observability practices.
Significant understanding of stablecoins, lending protocols, and opportunity surface concepts, or a proven ability to ramp up extremely quickly.

Why Ethena Labs?

You'd be joining a group that has well established itself as one of the most successful crypto-native company's of all time, a group with a mission to revolutionise decentralised finance and it's position in global finance.

Work alongside a passionate and innovative team that values collaboration and creativity.

Enjoy a flexible, remote-friendly work environment with established opportunities for personal growth and learning.

If you subscribe to the mission of separating the dollar from the state, then we want to hear from you!

We look forward to receiving your application and will be in touch after having a chance to review.

In the meantime, here are some links to more information about Ethena Labs to help you check us out:

Website

Twitter/X

LinkedIn

Data Migration Engineer

2025-12-09T14:01:15+00:00

Data Migration EngineerAs a Data Migration Engineer at Mark43, you will be responsible for designing and implementing data migration strategies to ensure the successful transfer of data from legacy systems to our modern cloud-based platform. You will work closely with cross-functional teams to understand data requirements and ensure data integrity throughout the migration process. Your expertise in data mapping, transformation, and validation will be crucial in delivering high-quality data solutions.Key Responsibilities:- Collaborate with stakeholders to gather data migration requirements.- Design and implement data migration plans and strategies.- Perform data mapping and transformation tasks.- Validate and ensure data integrity during the migration process.- Troubleshoot and resolve data migration issues.- Document data migration processes and best practices.Qualifications:- Bachelor's degree in Computer Science, Information Technology, or related field.- Proven experience in data migration projects.- Strong knowledge of SQL and data transformation tools.- Familiarity with cloud platforms and data integration technologies.- Excellent problem-solving and analytical skills.- Strong communication and collaboration abilities.If you are passionate about data and want to make a significant impact in a fast-paced environment, we encourage you to apply!

Data Migration Engineer

2025-12-09T06:00:39+00:00

Data Migration EngineerAs a Data Migration Engineer at Mark43, you will be responsible for designing and implementing data migration strategies for our clients. You will work closely with our engineering and product teams to ensure data integrity and security during the migration process. Your role will involve analyzing existing data structures, mapping data to new formats, and executing migration plans. You will also be responsible for troubleshooting any issues that arise during the migration process and providing support to clients post-migration.Key Responsibilities:- Analyze existing data structures and develop migration strategies.- Map data from old formats to new formats.- Execute data migration plans and ensure data integrity.- Troubleshoot issues during the migration process.- Provide post-migration support to clients.Qualifications:- Bachelorâs degree in Computer Science or related field.- Experience with data migration tools and techniques.- Strong analytical and problem-solving skills.- Excellent communication and interpersonal skills.Preferred Qualifications:- Experience with cloud-based data solutions.- Familiarity with data security best practices.- Knowledge of SQL and database management systems.

Remote OK

RTOC Analyst

RTOC Analyst

Analytics Engineer

Senior Data Engineer

About the Company

About the Role

Responsibilities

Qualifications

Benefits

Senior Data Engineer

Data Success Manager

Staff Data Engineer

Data Engineer

About Pivotal Health

About the Role

What Youâll Do

Who You Are

Extra Credit If You Have

Why Youâll Love Working Here

Employment Information

Senior Data Engineer

Product Manager Data Platform

Senior Data Engineer

Manager of Revenue Operations

About the Role

Key Responsibilities

Requirements

Preferred Qualifications

Success Indicators (First 3â6 Months)

Compensation & Logistics

Company Overview

VP Data Engineering

Senior Software Engineer Data Platform

Contract Data Architect

Senior Engineering Manager Data Pipeline

Senior Data Engineer

Data Engineer

About Mento

About The Role

Key Responsibilities:

Senior Software Engineer Data Observability

Senior Data Engineer

Why Join Exadel

About the Client

What Youâll Do

What You Bring

Nice to Have

English level

Legal & Hiring Information

Senior Data Engineer

Principal Data Operations & Migration Lead

Senior Data Engineer

Data & Technology Program Manager

Engineering Manager Data

About Us at GoCardless

The Role

Analytics Engineer

ML AI Ops Engineer

Senior Backend Engineer Infrastructure

About ClickHouse

Senior Program Coordinator Data Operations

Data Conversion Engineer

Senior Software Engineer Data Platform

Senior Software Engineer Data

About Freshpaint:

Who we are:

About the Role

What Youâll Do

What Weâre Looking For

Nice to Have

Why This Role Is Exciting

Interview Process

Perks & Benefits

Senior Manager Revenue Operations

Staff Data Software Engineer

Analytics Engineer

Why Socure?

About the Role

Why âAnalyticsâ Engineer?

What Youâll Do

Why Youâll Love Working Here

Success Indicators (First 3â6 Months)

What Youâll Do

What Youâll Do

What Weâre Looking For

Why âAnalyticsâ Engineer?