Senior Analytics Engineer - Healthcare & Benefits (contract) at Abett

Seattle, Washington, United States -

Full Time

Start Date

Immediate

Expiry Date

22 Sep, 26

Salary

100.0

Posted On

24 Jun, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

SQL, Python, Power BI, Microsoft Fabric, dbt, Healthcare Data Analysis, Data Modeling, Data Pipeline Construction, Client Engagement, Data Quality Validation

Industry

Data Infrastructure and Analytics

Description

Description Please note this is a contract position Our Analytics group provides the Benefits Data Platform for a large client, including data models, custom analyses, and dashboards the drive their benefits strategy. We are seeking a strong analytics engineer to join this team to expect our capacity and output. This is a heads-on, blended role: part analytics engineering (data models and pipelines) and part analysis (dashboards, ad hoc analysis, and other client-facing deliverables). You'll join an existing high-performance delivery team to work deeply with healthcare and benefits data, including claims, eligibility, clinical, HR, and engagement, in service of strategic questions for this employer. What you'll do: Design, build and improve Power BI dashboards that answer recurring and ad hoc strategic questions Develop and extend the data models that power these dashboards and analyses, utilizing dbt within a Microsoft Fabric environment Build and maintain pipelines that populate these data models Validate data quality and accuracy across claims, eligibility, clinical, HR, and engagement data, investigating and resolving discrepancies Support custom and ad hoc analyses on strategic benefits questions You'll be working with existing data sets as well as onboarding new benefits data domains and providers. You'll work in close partnership with the rest of the client's Analytics team. Requirements Qualifications and Skills 6+ years experience in analytics engineering, data analysis, business intelligence or similar roles 6+ years experience with SQL and Python 3+ years experience working with benefits and healthcare data, including medical claims, eligibility, and pharmacy data sets Demonstrated experience conducting analyses and/or building dashboards in benefits-related contexts Demonstrated experience engaging directly with clients in a professional, structured way, including gathering requirements, setting expectations, and communicating technical findings clearly Ability to work independently in ambiguous, evolving environments Proven ability to troubleshoot and resolve complex data quality issues Preferred Qualification Experience working with Power BI and Microsoft Fabric Familiarity with Tuva Project Familiarity with common risk scoring and benchmarking models Compensation This is a contract role, not an employee position Compensation range: $80 / hr - $100 / hr Expected schedule: 40 / hr / week, through at least end of December 2026, with opportunity for extension past then 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

Design and build Power BI dashboards and data models using dbt within a Microsoft Fabric environment. Maintain data pipelines and perform ad hoc strategic analyses on healthcare and benefits data.