VetsEZ is seeking a remote SQL Developer / Data Analyst to support a federal healthcare program with the Department of Veterans Affairs (VA). This role involves data analysis, report development, and support for ongoing data migration, integration, and quality monitoring efforts. The ideal candidate will have strong SQL development skills and hands-on experience working with clinical and operational datasets to support EHR modernization and reporting initiatives.
The candidate must reside within the continental US.

REQUIREMENTS:

• Bachelor’s degree in Computer Science, Data Analytics, Statistics, or a related technical field.
• 5+ years of experience developing advanced SQL queries and working with large, complex datasets in SQL Server environments.
• Experience analyzing healthcare or clinical data, including familiarity with data formats such as HL7, FHIR, or VistA.
• Strong understanding of data structures, indexing, performance tuning, and normalization techniques.
• Experience creating data visualizations and reports using tools such as Power BI, Tableau, or Excel.
• Excellent problem-solving skills, attention to detail, and ability to communicate technical findings to both technical and non-technical audiences.

ADDITIONAL QUALIFICATIONS:

• Experience supporting VA data systems, including VX130, Millennium, or the Corporate Data Warehouse (CDW).
• Familiarity with IRIS or Caché database environments and mirrored data architectures.
• Exposure to Agile environments and tools such as JIRA or Azure DevOps.
• Experience supporting data quality or cutover verification activities in EHR transition projects.
• Knowledge of data governance practices and metadata documentation.
• Ability to obtain Federal Government clearance.

• Develop, maintain, and optimize SQL queries and scripts to support data validation, data extracts, and transformation logic across large clinical datasets.
• Analyze and interpret data from multiple systems to support business intelligence reporting, extract validation, and decision-making.
• Collaborate with developers, data engineers, and program stakeholders to understand data flows, transformation logic, and source-to-target mappings.
• Support the development and refinement of conceptual and physical data models used in federal healthcare data warehouses.
• Create and maintain data quality monitoring routines and reports used to track completeness, accuracy, and timeliness of data migration efforts.
• Document findings from exploratory data analysis, track anomalies, and support root-cause investigations with development and QA teams.
• Assist with the creation and maintenance of technical and user documentation, including data dictionaries, runbooks, and validation protocols.
• Support weekly and monthly reporting deliverables by generating custom queries, aggregating results, and formatting output for dashboards and briefings.
• Participate in stakeholder meetings and data review sessions, presenting findings and collaborating to resolve data discrepancies.
• Take on additional tasks and responsibilities as needed to support team objectives and ensure the success of the project.