Population Health Data Engineer (Epic & Healthcare Analytics)

Gardner Resources Consulting, LLC

Boston, MA

Population Health Data Engineer (Epic & Healthcare Analytics) - Hybrid

Location: Hybrid (25% onsite / 75% remote)

Openings: 2 positions

Travel: Project-based (typically once per quarter + Go-Live in Q4)

Employment Type: Contract with potential for conversion or extension

Overview

We are seeking two skilled Population Health Data Engineers with deep expertise in Epic data ecosystems and healthcare analytics. This role focuses on designing, building, and optimizing data pipelines and data models to support population health initiatives, quality of care, and 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 records and advanced analytics
Develop data models for population health use cases (quality measures, risk stratification, utilization, care management)
Support development and operationalization of risk scoring models (e.g., MARA, HCC, RAF)
Process and transform healthcare claims data (medical and pharmacy) for analytics and reporting
Leverage Milliman MedInsight data structures for payer-provider analytics and benchmarking
Build and optimize ELT pipelines using modern cloud platforms
Collaborate with clinical, quality, population health, and analytics teams to translate business needs into technical solutions
Ensure data quality, governance, and compliance (e.g., HIPAA)
Optimize performance of large-scale datasets and queries

Required Qualifications

Strong hands-on experience with Epic systems, including:
Registries
Chronicles data structures
Hyperspace or Hyperdrive environments
Clarity and Caboodle data models
Experience with modern data engineering tools:
Snowflake (data warehousing)
DBT (data transformation/modeling)
Dynamic Tables in Snowflake
Strong SQL and data modeling expertise
Experience building and maintaining scalable data pipelines
Solid understanding of population health and value-based care concepts
Experience with healthcare claims data (medical and pharmacy)
Hands-on experience with Milliman MedInsight

Key Skills

Population Health & Risk Analytics
Healthcare Data Modeling (clinical + claims)
Epic Data Ecosystem Expertise
Snowflake & DBT
SQL & Performance Optimization
Data Governance & Compliance

Education & Experience

Bachelor’s or Master’s degree in Computer Science, Health Informatics, Data Engineering, or related field
6+ years of data engineering experience, preferably in healthcare, payer, or population health analytics

Apply

Vacancy posted 4 hours ago

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