Full-Time SQL Developer / Data Analyst

• 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.

• 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.

• 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.

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