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.