SQL Developer & Analyst
New
V
VetsEZHealthcare data
The candidate must reside within the continental US.Full-TimeMiddle
Salary not disclosed
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Job Details
- Experience
- A minimum of five (5) years of relevant professional experience.
- Required Skills
- SQLMicrosoft Power BIMicrosoft SQL ServerTableauMicrosoft ExcelData modelingAzure DevOps
Requirements
- Bachelor's degree in Computer Science, Electronics Engineering, or another engineering or technical discipline, or eight (8) years of additional relevant experience in lieu of a degree.
- At least five (5) years of relevant professional experience.
- Hands-on experience developing advanced SQL queries, scripts, and data extraction processes using Microsoft SQL Server.
- Experience working with large, complex datasets and optimizing query performance.
- Experience analyzing healthcare or clinical datasets and familiarity with healthcare data standards or systems such as HL7, FHIR, or VistA.
- Experience supporting data validation, transformation, and integration activities.
- Knowledge of relational database structures, data modeling, indexing, normalization, and performance tuning.
- Experience developing reports and visualizations using Power BI, Tableau, or Microsoft Excel.
- Experience with healthcare data governance, metadata management, source-to-target mapping, data quality monitoring, and technical documentation practices.
- Ability to investigate data discrepancies, identify root causes, and ensure data accuracy and integrity.
- Experience with Agile tools such as JIRA or Azure DevOps is an additional qualification.
- Experience with GitHub Copilot or similar AI-assisted tools, including validating outputs and protecting PHI/PII, is an additional qualification.
Responsibilities
- Develop, maintain, and optimize SQL queries, scripts, and transformation logic for data extraction, validation, reconciliation, and analysis in SQL Server.
- Analyze healthcare data from multiple systems and create reports, dashboards, and visualizations using Power BI, Tableau, Excel, and related tools.
- Collaborate with developers, data engineers, and program stakeholders on data flows, source-to-target mappings, transformation requirements, and data models.
- Develop and maintain data quality monitoring, validation routines, and reconciliation reports for migration and EHR modernization activities.
- Investigate data discrepancies, perform exploratory analysis and root-cause investigations, and document findings.
- Maintain data dictionaries, mapping specifications, runbooks, and validation protocols.
- Support recurring reporting deliverables and evaluate AI-assisted tools for SQL optimization, data quality checks, anomaly detection, and technical documentation.
- Validate AI-generated outputs and maintain data security and quality standards.
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