540 is hiring a Data Engineer for a federal health data modernization initiative, building production-ready data pipelines with Spark, Python and SQL in Databricks, and contributing to reusable data engineering patterns.
Responsibilities
- ▹design and build scalable production data pipelines (Spark, Python, SQL, Databricks)
- ▹integrate and transform health, financial and operational data
- ▹develop data models and analytics datasets
- ▹build and maintain API-based integrations
- ▹monitor, troubleshoot and optimize scheduled workflows
- ▹implement data validation, quality, lineage and governance
- ▹contribute to automated testing, code reviews and documentation
Requirements
- ▹3+ years of data engineering, software engineering or related technical experience
- ▹strong Python and SQL proficiency
- ▹experience with Apache Spark or similar distributed processing frameworks
- ▹experience with Databricks or a similar modern data platform
- ▹experience building production data pipelines and ETL/ELT processes
- ▹data modeling knowledge
- ▹experience integrating data through REST APIs
- ▹experience with Git-based development workflows
Nice to have
- ▹AWS cloud experience
- ▹experience working with very large datasets
Soft skills
navigating ambiguityindependently working in unfamiliar systemsstrong communication with stakeholders
About the company
540 is a technology company focused on U.S. federal government contracts, delivering data modernization solutions.
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