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Data Architect [ Must Have EPIC Caboodle $ Population Health ]

Remote • Posted 60+ days ago • Updated 3 hours ago

Full Time

Remote

Fitment

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Job Details

Skills

FOCUS
Advanced Analytics
Use Cases
Management Consulting
Reporting
Benchmarking
ELT
Cloud Computing
Collaboration
Data Quality
HIPAA
Data Structure
Clarity
Data Warehouse
Modeling
Pharmacy
Workflow
Data Modeling
Epic
Snow Flake Schema
SQL
Performance Tuning
Data Governance
Regulatory Compliance
Computer Science
Health Informatics
Data Engineering
Health Care
Analytics

Summary

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

Required Qualifications

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 master's 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.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 10115903
Position Id: 9c3cab92d8861923f658e9e66b8805b7
Posted 30+ days ago

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