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Data Engineer with Azure

Spectraforce
United States
26 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
3 years minimum
Working hours
Regular working hours
Job source
leoforce.us

Tech stack

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)
+14 more
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

Requirements

  • 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

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on leoforce.us

Good distractions

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