Database Engineer (Remote)

GovCIO is currently hiring for Data Engineer to design and build enriched datasets using medallion architecture (bronze/silver/gold) in Databricks, sourcing data from the VA Corporate Data Warehouse (CDW) and other internal and external systems.

The datasets you build will feed directly into Power BI semantic models used by stakeholders across the organization.

This role works closely with clients to gather requirements, track work in JIRA, and deliver high-quality, well-documented data pipelines.

This is a fully remote position.

Our Data Engineering team supports multiple offices and programs across the Department of Veterans Affairs by building enriched, analytics-ready datasets that power clinical and operational decision-making across the Veterans Health Administration (VHA).

We work at the intersection of enterprise data warehousing and modern cloud analytics, turning complex healthcare data into reliable, reusable data products.

• Design, build, and maintain enriched datasets following medallion architecture (bronze, silver, gold layers) in Databricks
• Develop, orchestrate, and monitor Databricks jobs and pipelines
• Write efficient, well-structured SQL to transform and model healthcare data
• Prepare and optimize gold-layer datasets for consumption by Power BI semantic models
• Manage code and version control through GitHub, following team branching and review practices
• Log, track, and update work items in JIRA
• Partner directly with clients and stakeholders to understand requirements, clarify data definitions, and validate outputs
• Troubleshoot data quality issues and ensure accuracy and consistency across pipelines
• Write ad hoc queries to support client requests, investigations, and one-off analyses
• Perform data validation and quality assurance checks on pipelines and enriched datasets to ensure accuracy, completeness, and consistency
• Document data lineage, transformation logic, and business rules for enriched datasets
• Collaborate with Power BI developers and data scientists on the broader team to ensure datasets meet downstream reporting and analytical needs