Population Health Data Engineer

Dice is the leading career destination for tech experts at every stage of their careers. Our client, Donato Technologies Inc, is seeking the following. Apply via Dice today!

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 Med

Insight 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.