Senior Data Engineer - Healthcare & Benefits at Abett

Seattle, Washington, United States -

Full Time

Start Date

Immediate

Expiry Date

29 Jan, 26

Salary

170000.0

Posted On

31 Oct, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Engineering, SQL, Python, dbt, Dagster, ETL, Data Quality, Data Modeling, Data Pipelines, Healthcare, Benefits, Technical Projects, Automation, Data Exchange, Troubleshooting, Collaboration

Industry

Software Development

Description

Description We are hiring a Senior Data Engineer to lead the technical design and implementation of our foundational healthcare data platform. You'll design and build the system that ingests, models, and activates raw claims, eligibility, clinical, HR, and engagement data using SQL, dbt, Python, and Dagster. You'll be deeply involved in creating a dynamic data platform that enables large-scale data exchange across the benefits ecosystem. This role is for builders: you will spend most of your time hands-on with data and code, working closely with a tight-knit team of engineers and scientists to build the platform. You’ll excel if you thrive on taking ideas from conception to production and thinking about critical questions around scale and performance. You will: Lead the design of our centralized data platform built with Dagster, dbt, and Airbyte Develop scalable implementations of per-client data platform deployments, with a strong emphasis on reusability and automation Own data pipelines (including claims, eligibility, HR, engagement, clinical, and more) connecting clients and vendors Troubleshoot data issues and work directly with client/vendor technical teams to resolve discrepancies. Implement reusable data models and quality frameworks that reduce custom work across clients. Partner with Product to inform product and AI roadmap. At Abett, you’ll have the opportunity to transform employee benefits and health outcomes. You will be taking on a high-impact position joining a collaborative, mission-driven team with deep expertise in healthcare and benefits, while enjoying competitive compensation, comprehensive benefits, and the flexibility of a remote-first environment. Requirements Qualifications and Skills 6+ years experience in data engineering or similar roles 6+ years experience with SQL and Python 3+ years experience with dbt and Dagster Expert proficiency with modern ETL/ELT tools and practices Past experience building data platforms Ability to work independently in ambiguous, evolving environments Prove ability to troubleshoot and resolve complex data quality issues Prior experience developing and leading complex technical projects from end to end Preferred Qualifications Prior experience in the healthcare, benefits, and/or health insurance sector, and strong familiarity with those concepts Past experience working in early-stage startups Understanding of data exchange protocols (SFTP, APIs, HL7, EDI) Compensation and Benefits Compensation range: $150,000 / year - $170,000 / year Stock options Employer-paid health, dental, and vision benefits available Unlimited PTO 401(k) Flexible hours and fully remote position About Abett Abett envisions a world where everyone has access to high quality, affordable, and timely healthcare. We are building the infrastructure that powers employee benefits optimization. Our platform connects employers, benefits vendors, and healthcare providers through standardized, high-quality data integrations. We believe benefits data should be accurate, timely, and reusable—helping clients unlock improved plan efficiency and better outcomes for their members through targeted analysis and automated workflows. Abett is committed to equity and inclusion as an Equal Opportunity Employer. Abett does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status, or any other basis covered by appropriate law. All employment is decided based on qualifications, merit, and business need.

Responsibilities

Lead the design and implementation of a centralized healthcare data platform. Develop scalable data platform deployments and troubleshoot data issues while collaborating with client/vendor technical teams.