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# Data Engineer with Azure

- **Company:** Spectraforce
- **Location:** United States (Remote available)
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Microsoft Azure, Code Review, Continuous Integration, Extract Transform Load (ETL), Electronic Data Interchange (EDI), JSON, Python (Programming Language), Microsoft Dynamics, Standard Sql, Azure Data Lake, File Transfer Protocol (FTP), Data Ingestion, Azure Data Factory, Fast Healthcare Interoperability Resources, Snowflake, Git, Microsoft Fabric, Pyspark, Health Level Seven International, Operational Systems, Restful APIs, Software Version Control, Data Pipelines, Serverless Computing, Databricks
- **Published:** July 16, 2026
- **Apply:** http://leoforce.us/Careers/Spectraforce/JobDetails.html?jobid=082a5be4-27fb-4df1-80ba-3a3fa517c862&OrgId=1&UserId=6484

## About the Role

* 3-5+ years as a Data Engineer
 * Strong SQL and Python/PySpark
 * Hands-on with Microsoft Fabric, Azure Data Factory, Snowflake, 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
 * 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

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



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