{"schemaVersion":"jobsearcher.job.v1","id":"89b7d1a2ef4c8bdf8f8bc29b","url":"https://jobsearcher.com/jobs/89b7d1a2ef4c8bdf8f8bc29b","canonicalUrl":"https://jobsearcher.com/jobs/89b7d1a2ef4c8bdf8f8bc29b","title":"Sr. Data Engineer - Medica","description":"Senior Data Engineering ContractorVirtual USC and GC MN and WI (Need Local) (90% Remote (may go in the office some each month so you must live in MN or WI) Role Summary Senior, hands on data engineering contractor to support modern data platform delivery across Health Payer Domains. This role requires independent ownership of end to end data pipelines using modern cloud and Lakehouse architecture. This is a hit the ground running role with minimal ramp up.Key ResponsibilitiesDesign, build, and operate end to end data pipelinesSource ingestion → transformation → analytics ready datasetsDevelop transformations and data models using SQL and PythonImplement automated data quality checks and validationsFollow Git based developmentCollaborate with business/domain stakeholders on data rules and definitionsEnsure solutions are secure, auditable, reliable, and supportableProduce clear technical documentation and operational notesRequired Technologies (Must Have)Languages: SQL, Python (PySpark preferred)Data Platforms / Storage: Cloud data platforms (Azure preferred; AWS/GCP acceptable), Azure Data Lake Storage Gen2 (ADLS Gen2), Lakehouse concepts (Iceberg and/or Delta)Transformation & Modeling: dbt (dbt Core and/or dbt Cloud)Source Control, GitOps & CI/CD: GitHub, Pull request–based development, CI/CD pipelines (GitHub Actions or equivalent)Compute (one or more): Snowflake Fabric, DatabricksPreferred / Nice to Have TechnologiesMicrosoft Fabric Data Factory / Azure Data FactoryFabric or Databricks NotebooksOrchestration tools (Airflow, Dagster, or similar)Healthcare / payer domain experience (Clinical, Claims, Provider)Required Experience7+ years of hands on data engineering experienceProven delivery of production grade data pipelinesExperience working independently with minimal supervisionStrong understanding of data quality, reliability, and operational readiness","company":"ShiftCode Analytics","rawCompany":"shiftcode analytics","city":"Greenwald","state":"MN","isRemote":false,"isActive":true,"createdAt":"2026-06-29T00:49:40.210Z","occupations":[{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"518210","title":"Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services","slug":"computing-infrastructure-providers-data-processing-web-hosting-and-related-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Sr. Data Engineer - Medica","description":"Senior Data Engineering ContractorVirtual USC and GC MN and WI (Need Local) (90% Remote (may go in the office some each month so you must live in MN or WI) Role Summary Senior, hands on data engineering contractor to support modern data platform delivery across Health Payer Domains. This role requires independent ownership of end to end data pipelines using modern cloud and Lakehouse architecture. This is a hit the ground running role with minimal ramp up.Key ResponsibilitiesDesign, build, and operate end to end data pipelinesSource ingestion → transformation → analytics ready datasetsDevelop transformations and data models using SQL and PythonImplement automated data quality checks and validationsFollow Git based developmentCollaborate with business/domain stakeholders on data rules and definitionsEnsure solutions are secure, auditable, reliable, and supportableProduce clear technical documentation and operational notesRequired Technologies (Must Have)Languages: SQL, Python (PySpark preferred)Data Platforms / Storage: Cloud data platforms (Azure preferred; AWS/GCP acceptable), Azure Data Lake Storage Gen2 (ADLS Gen2), Lakehouse concepts (Iceberg and/or Delta)Transformation & Modeling: dbt (dbt Core and/or dbt Cloud)Source Control, GitOps & CI/CD: GitHub, Pull request–based development, CI/CD pipelines (GitHub Actions or equivalent)Compute (one or more): Snowflake Fabric, DatabricksPreferred / Nice to Have TechnologiesMicrosoft Fabric Data Factory / Azure Data FactoryFabric or Databricks NotebooksOrchestration tools (Airflow, Dagster, or similar)Healthcare / payer domain experience (Clinical, Claims, Provider)Required Experience7+ years of hands on data engineering experienceProven delivery of production grade data pipelinesExperience working independently with minimal supervisionStrong understanding of data quality, reliability, and operational readiness","datePosted":"2026-06-29T00:49:40.210Z","dateModified":"2026-06-29T00:49:40.210Z","hiringOrganization":{"@type":"Organization","name":"ShiftCode Analytics","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Greenwald","addressRegion":"MN","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"89b7d1a2ef4c8bdf8f8bc29b"},"url":"https://jobsearcher.com/jobs/89b7d1a2ef4c8bdf8f8bc29b"}}