Applied Epic Engineer Jobs

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3d ago

Population Health Data Engineer

Software Technology Inc Charlestown, MA

Charlestown, MA

3d ago

Full time Applied Epic Claims Data Pipelines Clinical Data

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Job Description

Software Technology Inc is seeking two Population Health Data Engineers with deep Epic data ecosystem expertise for a hybrid role based in Charlestown, MA, with remote options, focusing on scalable data pipelines, clinical and claims data integration, and population health analytics initiatives.

Responsibilities

Architect and maintain scalable data pipelines for population health programs and claims analytics.
Leverage Epic data platforms such as Clarity, Caboodle, Chronicles, Registries and Rosters in daily work.
Integrate clinical and claims data to enable longitudinal, patient-level analytics.
Design and optimize data models supporting quality measures.
Design and optimize data models for risk stratification.
Design and optimize data models for utilization and cost analytics.
Support care management initiatives through data solutions.
Develop and maintain risk adjustment models including HCC, RAF, and MARA.
Ingest, transform, and validate medical and pharmacy claims data.
Work with Milliman MedInsight data models for payer-provider analytics and benchmarking.
Build and optimize ELT processes on modern cloud platforms.
Collaborate with Healthy Planet, clinical, quality, and analytics teams to deliver data-driven solutions.
Ensure data quality, governance, and HIPAA compliance across pipelines and models.
Tune performance for large datasets and complex SQL queries.

Requirements

Strong hands-on experience with Epic Clarity and Caboodle
Experience with Chronicles data structures
Experience with Epic Registries / Healthy Planet
Background in Population Health and Value-Based Care
Proficiency in Risk Adjustment (HCC, RAF, MARA)
Snowflake data warehousing and related features
DBT (Data Build Tool) expertise
Dynamic Tables (Snowflake) experience
Advanced SQL and data modeling capabilities
Experience building and maintaining data pipelines
Experience with medical and pharmacy claims data
Experience with payer-provider analytics
Milliman MedInsight experience (preferred)
Bachelor's or Master's degree in Computer Science, Health Informatics, Data Engineering or related field
6+ years of data engineering experience
Healthcare domain experience, specifically Population Health analytics and payer environments (preferred)

Technologies

Epic Clarity
Epic Caboodle
Chronicles
Epic Registries / Healthy Planet
Snowflake
DBT (Data Build Tool)
Dynamic Tables (Snowflake)
Milliman MedInsight
SQL

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