SQL Developer / Analyst (Remote Opportunity)

Remote

Other

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Quick Summary

Key Responsibilities

Develop, maintain, and optimize advanced SQL queries, scripts, and data transformation processes to support data extraction, validation, reconciliation, and analysis.

Technical Tools

Other

Mind Computing is seeking a full-time, 100% remote SQL Developer/Analyst to support a project with the Department of Veterans Affairs (VA). The ideal candidate will have strong SQL development and data analysis experience, supporting healthcare data migration, integration, validation, reporting, and data quality initiatives related to Electronic Health Record (EHR) modernization. This role will work with large clinical and operational datasets, leveraging Microsoft SQL Server, Power BI, and other business intelligence tools to support data integrity, reporting, and program decision-making.

The candidate must reside within the continental US.

Responsibilities

~1 min read

→Develop, maintain, and optimize advanced SQL queries, scripts, and data transformation processes to support data extraction, validation, reconciliation, and analysis.
→Analyze complex healthcare and operational datasets to identify trends, anomalies, and data discrepancies, developing reports, dashboards, and visualizations using Power BI, Tableau, and Excel.
→Collaborate with developers, data engineers, and stakeholders to support data integration, source-to-target mapping, transformation requirements, and database modeling.
→Develop and maintain data quality monitoring processes, validation routines, and reconciliation reports to ensure data accuracy, completeness, consistency, and integrity.
→Perform exploratory data analysis and root cause investigations, documenting findings and maintaining technical documentation, including data dictionaries, mapping specifications, and validation procedures.
→Support recurring reporting deliverables and leverage AI-assisted tools to improve SQL development, data quality monitoring, anomaly detection, and technical documentation while ensuring data security and accuracy.
→Perform additional duties as needed to support project objectives and organizational innovation initiatives.

Requirements

~2 min read

Bachelor's degree in Computer Science, Electronics Engineering, or another engineering or technical discipline.
5+ years of experience developing advanced SQL queries, scripts, and data extraction processes using Microsoft SQL Server, including working with large datasets and optimizing query performance.
Experience analyzing healthcare or clinical datasets, with familiarity with healthcare data standards and systems such as HL7, FHIR, or VistA.
Strong understanding of relational databases, data modeling, indexing, normalization, and performance tuning.
Experience developing reports, dashboards, and data visualizations using Power BI, Tableau, or Microsoft Excel.
Strong analytical, troubleshooting, and problem-solving skills, with the ability to investigate data discrepancies and ensure data accuracy and integrity.
Excellent written and verbal communication skills, including the ability to document technical findings and collaborate with technical and non-technical stakeholders.

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