Health Plan Analytics Engineer

Samaritan Health Services is dedicated to building healthier communities and provides health insurance options through Samaritan Health Plans. They are seeking a Health Plan Analytics Engineer to design and optimize data pipelines for healthcare analytics, enabling insights for value-based care and regulatory reporting.

Responsibilities:

• Design, build, and optimize scalable data pipelines that support healthcare analytics, population health, quality measurement, and regulatory reporting within a health plan environment
• Integrate and transform complex healthcare data sources—including claims, enrollment, clinical (EHR), pharmacy, eligibility, and social determinants of health—into reliable, analytics‑ready datasets
• Partner with analytics, actuarial, clinical, and business teams to enable insights for value‑based care, HEDIS, STARS, CMS, and state reporting
• Focus on data architecture, ETL/ELT development, data quality governance, and performance optimization, emphasizing accuracy, compliance, and data lineage
• Translate business requirements into technical solutions that improve efficiency, scalability, and decision‑making across the organization

Requirements:

• Bachelor's degree in a quantitative field (e.g., computer science, data science, statistics, or equivalent) required
• Five (5) years experience in data analytics or engineering, with at least three (3) years focused on data modeling and transformation within a healthcare environment required
• Advanced experience in SQL and data transformation workflows (ETL/ELT) required
• Experience with Medallion Architecture (Bronze, Silver, Gold data layers) required
• Deep experience designing, building, and optimizing scalable data pipelines that support healthcare analytics, population health, quality measurement, and regulatory reporting within a health plan environment
• Expert in integrating and transforming complex healthcare data sources—including claims, enrollment, clinical (EHR), pharmacy, eligibility, and social determinants of health—into reliable, analytics‑ready datasets
• Proven partner to analytics, actuarial, clinical, and business teams, enabling insights for value‑based care, HEDIS, STARS, CMS, and state reporting
• Experience in data architecture, ETL/ELT development, data quality governance, and performance optimization, with a strong focus on accuracy, compliance, and data lineage
• Skills in translating business requirements into technical solutions that improve efficiency, scalability, and decision‑making across the organization
• Data Modeling: Expertise in designing broad, multi-functional data sets that allow for cross-departmental trend analysis (financial, quality, and care management)
• Ability to build flexible data models utilized in downstream analytics tools (PowerBI, AWS QuickSight, Looker, Tableau, etc.)
• Strategic Thinking: Ability to identify and resolve inefficiencies in reporting requests by creating self-service solutions that reduce administrative burden and support department leaders
• Communication: Skilled in translating technical data structures for non-technical department heads to improve overall organizational data literacy
• Scalability: Understanding of how to build data models that support growth
• Integrity: Commitment to building objective data models that prioritize mission-driven performance
• Industry Knowledge: Understanding of healthcare data sources, including claims, clinical data, and population health metrics
• Familiarity with software best practices, including Git repositories, version control, and CI/CD pipelines