Data Engineer (Epic & Healthcare Analytics)
Occupations:
Data Warehousing SpecialistsDatabase ArchitectsHealth Informatics SpecialistsData ScientistsHealth Information Technologists and Medical RegistrarsIndustries:
Management, Scientific, and Technical Consulting ServicesOther Professional, Scientific, and Technical ServicesActivities Related to Credit IntermediationEducational Support ServicesHome Health Care ServicesJob DescriptionRequired QualificationsStrong hands-on experience with Epic systems, including:Epic RegistriesChronicles data structuresHyperspace or Hyperdrive environmentsClarity and Caboodle data modelsExperience with modern data engineering tools and platforms:Snowflake (data warehousing)DBT (data transformation and modeling)Dynamic Tables in SnowflakeSolid 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 SkillsPopulation Health & Risk AnalyticsHealthcare Data Modeling (Clinical and Claims)Epic Data Ecosystem ExpertiseSnowflake & DBTSQL & Performance OptimizationData Governance & ComplianceEducation & ExperienceBachelor'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.