Senior Population Health Data Engineer (Epic & Claims Analytics)

Key Responsibilities • Design, develop, and maintain scalable data pipelines supporting population health, claims analytics, and reporting. • Work extensively with Epic data sources including Registries, Rosters, Chronicles, Clarity, and Caboodle. • Integrate clinical and claims data to support longitudinal patient views and advanced analytics. • Develop data models for population health use cases including quality measures, risk stratification, utilization, and care management analysis. • Support development and operationalization of risk scoring data models and analytics (e.g., MARA, HCC, RAF). • Process and transform healthcare claims data (medical and pharmacy) for analytics and reporting. • Work with Milliman MedInsight data structures to support payer-provider analytics and efficiency benchmarking. • Build and optimize ELT pipelines using modern cloud platforms. • Collaborate with healthy planet, efficiency, quality, clinical, and analytics teams to translate business needs into technical solutions. • Ensure data quality, governance, and compliance with healthcare regulations (e.g., HIPAA). • Optimize performance of large-scale datasets and queries. Required Qualifications • Strong hands-on experience with Epic systems, including: • Epic Registries • Chronicles data structures • Hyperspace or Hyperdrive environments • Clarity and Caboodle data models • Experience with modern data engineering tools and platforms: • Snowflake (data warehousing) • DBT (data transformation and modeling) • Dynamic Tables in Snowflake • Solid understanding of healthcare domain concepts, including population health and value-based care. • Experience with healthcare claims processing (medical and pharmacy claims). • Hands-on experience with Milliman MedInsight data models and analytics workflows. • Strong SQL and data modeling expertise. • Experience building and maintaining data pipelines.