SQL Developer & Analyst (Remote Opportunity)

VetsEZ•Austin, TX

4d•Remote

About The Position

VetsEZ is seeking a SQL Developer / Data Analyst for a 100% remote position supporting a large federal government healthcare modernization project for the Department of Veterans Affairs. The role provides SQL development, data analysis, reporting, and data quality monitoring for electronic health record (EHR) modernization initiatives. Work involves large clinical and operational datasets, data migration, integration, validation, and business intelligence reporting using SQL Server, Power BI, and related technologies. The position works within a remote, multidisciplinary Agile team alongside software developers, data engineers, quality assurance personnel, and federal stakeholders. The developer supports analysis, reporting, validation, and continuous improvement to ensure healthcare data accuracy, completeness, and reliability throughout modernization and migration efforts. The candidate must reside within the continental United States.

Requirements

Bachelor’s degree in Computer Science, Electronics Engineering, or another engineering or technical discipline, or eight years of additional relevant experience in lieu of a degree.
At least five years of relevant professional experience.
Hands-on experience developing advanced SQL queries, scripts, and data extraction processes using Microsoft SQL Server, including work with large, complex datasets and query performance optimization.
Experience analyzing healthcare or clinical datasets, including familiarity with healthcare data standards and systems such as HL7, FHIR, or VistA, and supporting data validation, transformation, and integration.
Strong understanding of relational database structures, data modeling, indexing, normalization, and performance tuning.
Experience developing reports and visualizations using Power BI, Tableau, or Microsoft Excel.
Strong analytical, troubleshooting, and problem-solving skills, attention to detail, and ability to identify data discrepancies, investigate root causes, and ensure data accuracy and integrity.
Strong written and verbal communication, documentation, and collaboration skills; ability to present technical findings to technical and non-technical stakeholders and work effectively in multidisciplinary teams.
Must reside within the continental United States.
U.S. citizenship is required.
Must successfully complete a background check.
Ability to obtain and maintain a Government/Public Trust clearance, including required fingerprinting, when required for the position.

Nice To Haves

Previous experience supporting Department of Veterans Affairs healthcare data systems, including VX130, Oracle Health Millennium, or the Corporate Data Warehouse (CDW).
Familiarity with InterSystems IRIS, Caché, mirrored database architectures, or EHR data migration and cutover verification activities.
Experience working in Agile development environments using JIRA, Azure DevOps, or similar tools.
Knowledge of healthcare data governance, metadata management, source-to-target mapping, data quality monitoring, and technical documentation practices.
Experience using AI-assisted tools such as GitHub Copilot to develop and optimize SQL queries, generate validation and reconciliation scripts, identify anomalies, analyze trends, and produce technical documentation.
Understanding of AI output validation, PHI/PII protection, and responsible AI practices in federal healthcare environments.

Responsibilities

Develop, maintain, and optimize advanced SQL queries, scripts, and transformation logic for data extraction, validation, reconciliation, and analysis across large clinical and operational datasets in SQL Server.
Analyze healthcare data from multiple systems, identify trends and anomalies, and create reports, dashboards, and visualizations using Power BI, Tableau, Excel, and related business intelligence tools.
Collaborate with developers, data engineers, and program stakeholders on data flows, source-to-target mappings, transformation requirements, and conceptual and physical data models for federal healthcare data warehouses and integration initiatives.
Develop and maintain data quality monitoring processes, validation routines, and reconciliation reports to assess data completeness, accuracy, consistency, and timeliness during migration and EHR modernization.
Investigate data discrepancies, perform exploratory data analysis and root cause investigations, document findings, and maintain technical documentation such as data dictionaries, mapping specifications, runbooks, and validation protocols.
Support recurring reporting deliverables and evaluate AI-assisted tools for SQL optimization, automated data quality checks, anomaly detection, and technical documentation; validate generated outputs and maintain data security and quality standards.
Take on additional tasks and responsibilities as needed to support team objectives and project success.