GovCIO
From GovCIO's careers page
Status: listed on the employer's own careers page when we last checked (daily). Confirm on their site before applying.
This role works closely with clients to gather requirements, track work in JIRA, and deliver high-quality, well-documented data pipelines.
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
Required Skills and Experience
Bachelors degree and 12+ yrs 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
Deep understanding of the VA Corporate Data Warehouse (CDW)
Familiarity with VistA/CPRS
Familiarity with the Federal EHR (Oracle Health)
Experience with healthcare data domains (e.g., appointments, consults/referrals, orders, TIU notes, visits)
Someone who can 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 given the sensitivity and complexity of the data we work with.
Posted Salary Range
USD $130,000.00 - USD $160,000.00 /Yr.
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
Required Skills and Experience
Bachelors degree and 12+ yrs 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
Deep understanding of the VA Corporate Data Warehouse (CDW)
Familiarity with VistA/CPRS
Familiarity with the Federal EHR (Oracle Health)
Experience with healthcare data domains (e.g., appointments, consults/referrals, orders, TIU notes, visits)
Someone who can 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 given the sensitivity and complexity of the data we work with.
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