Population Health Data Engineer
Applied Epic
Claims Data Pipelines
Clinical Data
Cloud Platform
Cloud Platforms
Data Analysis
Data Analytics
Data Architecture
Data Build Tool
Data Engineer
Data Engineering
Data Integration
Data Management
Data Modeling
Data Pipeline
Data Pipelines
Data Platform
Data Processing
Data Warehouse
Data Warehousing
Database
Databases
EHR
Electronic Medical Records
Epic Systems
ETL
Milliman Medinsight
Population Health
SQL
Job Description
Two experienced Population Health Data Engineers are needed with expertise in the Epic data ecosystem and healthcare analytics.
Responsibilities
- Design, build, and maintain scalable data pipelines for population health and claims analytics.
- Work extensively with Epic data platforms, including Clarity, Caboodle, Chronicles, and Registries & Rosters.
- Integrate clinical and claims data to support longitudinal patient level analytics.
- Develop and optimize data models for quality measures.
- Develop and optimize data models for risk stratification.
- Develop and optimize data models for utilization and cost analysis.
- Support care management initiatives.
- Build and support risk adjustment models (HCC, RAF, MARA).
- Process and transform medical and pharmacy claims data.
- Work with Milliman MedInsight data models for payer-provider analytics and benchmarking.
- Develop and optimize ELT pipelines using modern cloud platforms.
- Collaborate with Healthy Planet, clinical, quality, and analytics teams to deliver data driven solutions.
- Ensure data quality, governance, and HIPAA compliance.
- Optimize performance for large datasets and complex SQL queries.
Requirements
- Strong hands on experience with Epic Clarity and Caboodle
- Chronicles data structures
- Epic Registries / Healthy Planet
- Population Health
- Value Based Care
- Risk Adjustment (HCC, RAF, MARA)
- Snowflake data warehousing
- DBT (Data Build Tool)
- Dynamic Tables (Snowflake)
- Advanced SQL and data modeling expertise
- Experience building and maintaining data pipelines
- Medical and pharmacy claims data
- Payer-provider analytics
- Milliman MedInsight (preferred)
- Bachelor's or Master's degree in Computer Science
- Health Informatics
- Data Engineering or related field
- 6+ years of experience in data engineering
- Healthcare
- Population Health analytics
- Payer environments (preferred)
Technologies
- Epic Clarity
- Epic Caboodle
- Chronicles
- Epic Registries / Healthy Planet
- Snowflake
- DBT (Data Build Tool)
- Dynamic Tables (Snowflake)
- Milliman MedInsight
- SQL
Location
Charlestown, MA (hybrid)
Experience
6+ years of data engineering experience
Education
Bachelor's or Master's degree in Computer Science, Health Informatics, or Data Engineering or related field
Domain
Healthcare / Population Health / Payer Analytics
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