Population Health Data Engineer

Notes:

Ensure data quality, governance, and compliance with healthcare regulations (e.g., HIPAA) Optimize performance of large-scale datasets and queries. 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. Key Skills Population Health & Risk Analytics Healthcare Data Modeling (Clinical and Claims) Epic Data Ecosystem Expertise Snowflake & DBT SQL & Performance Optimization Data Governance & Compliance Education & Experience Bachelor's or Masters degree in Computer Science, Health Informatics, Data Engineering, or related field. 6+ years of experience in data engineering, with strong preference for healthcare, payer, or population health analytics experience.