Database Engineer

GovCIO

. Design, build, and maintain enriched datasets following medallion architecture (bronze, silver, gold layers) in Databricks .

Posted 11/2/2026full-timeRemote • United StatesSeniorLead💰 $130,000 - $160,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and maintaining enriched datasets using Databricks and SQL, with a strong focus on data quality, validation, and collaboration with stakeholders. Proficient in preparing data for Power BI and managing version control through GitHub.

Highest-signal resume keywords

Databricks Pipeline DevelopmentSQL Performance TuningPower BI Data PreparationGitHub Version ControlData Quality Assurance

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

SQLDatabricksPySparkData Pipeline DevelopmentData TransformationData ValidationAd Hoc QueryingMedallion ArchitectureHealthcare Data ManagementData Lineage Documentation

Soft Skills

Strong CommunicationClient Stakeholder EngagementIndependent Problem Solving

Tools & Technologies

Power BIGitHubJIRA

Industry Keywords

Veterans AffairsVHAVA Corporate Data WarehouseVistAFederal EHRHealthcare Data Domains

Tech Stack

Tools & technologies

OraclePySparkSQL

About the role

Key responsibilities & impact

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
Document data lineage, transformation logic, and business rules for enriched datasets
Collaborate with Power BI developers and data scientists to ensure datasets meet downstream reporting and analytical needs
Support multiple offices and programs across the Department of Veterans Affairs by building enriched, analytics-ready datasets for clinical and operational decision-making across the Veterans Health Administration

Requirements

What you’ll need

Bachelor's degree and 12+ years of experience (or commensurate experience)
Hands-on experience building data pipelines and transformations in Databricks (PySpark and/or SQL)
Strong SQL skills, including complex joins, aggregations, and performance tuning
Experience working with Power BI, including preparing data for semantic models
Familiarity with GitHub for version control and collaborative development
Experience using JIRA or similar tools to track and manage work
Strong communication skills and comfort working directly with clients/stakeholders
Understanding of medallion (bronze/silver/gold) data architecture principles
Prior experience working within the VA or VHA preferred
Deep understanding of the VA Corporate Data Warehouse (CDW) preferred
Familiarity with VistA/CPRS preferred
Familiarity with the Federal EHR (Oracle Health) preferred
Experience with healthcare data domains preferred
Ability to work independently on complex data problems, communicate clearly with non-technical clients, and take ownership of datasets from raw source through to a polished, analytics-ready product
Healthcare and federal data experience is a strong plus