Software Technology Inc.
Data Engineer (Epic & Healthcare Analytics)
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer (Epic & Healthcare Analytics) with a contract length of "unknown," offering a pay rate of "unknown." Key skills include Epic systems expertise, Snowflake, DBT, SQL, and healthcare analytics experience. A degree and 6+ years in data engineering are required.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
Unknown
-
🗓️ - Date
May 6, 2026
🕒 - Duration
Unknown
-
🏝️ - Location
Unknown
-
📄 - Contract
Unknown
-
🔒 - Security
Unknown
-
📍 - Location detailed
Massachusetts, United States
-
🧠 - Skills detailed
#Snowflake #Data Engineering #Computer Science #"ETL (Extract #Transform #Load)" #Data Pipeline #SQL (Structured Query Language) #Compliance #dbt (data build tool) #Data Modeling #Data Governance
Role description
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.
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.
