About this role
- Build and maintain ETL/ELT data pipelines across clinical, claims, and operational systems - Work within a medallion architecture - Develop data ingestion from APIs, SFTP feeds, Snowflake, and flat files - Participate in code reviews and daily standups with a US-based team Required - 3–5+ years as a Data Engineer - Strong SQL and Python/PySpark - Hands-on with Microsoft Fabric, Azure Data Factory, Databricks, or Synapse - Experience consuming REST APIs and JSON payloads - Git-based version control and CI/CD for data pipelines - Azure cloud (ADLS Gen2, Azure Functions, Azure DevOps) - Power BI semantic models Nice to Have - Dell Boomi or another iPaaS - Healthcare data exposure (FHIR, HL7, EDI) - Snowflake experience - Dynamics 365 / Dataverse familiarity Working Expectations - Comfortable with Azure DevOps for PRs and work tracking - Able to work semi-independently with clear acceptance criteria