SQL Development and Data Analysis Team Lead
New
V
VetsEZHealthcare IT
The candidate must reside within the continental US.Full-TimeLead
Salary not disclosed
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Job Details
- Experience
- A minimum of eight (8) years of relevant professional experience.
- Required Skills
- SQLAgileMicrosoft Power BIMicrosoft SQL Server
Requirements
- Hold a bachelor’s degree in Computer Science, Electronics Engineering, or another engineering or technical discipline, or have eight years of additional relevant experience in lieu of a degree.
- Have a minimum of eight years of relevant professional experience.
- Bring hands-on experience developing, reviewing, and optimizing advanced SQL queries, scripts, and data transformations using Microsoft SQL Server.
- Have experience working with large, complex datasets and applying indexing, normalization, and performance-tuning techniques.
- Have experience leading or serving as technical lead for SQL development, data analysis, or data engineering teams.
- Demonstrate experience assigning work, establishing technical standards, reviewing deliverables, and providing technical guidance.
- Have experience analyzing healthcare or clinical datasets and familiarity with HL7, FHIR, or VistA.
- Understand data migration and validation processes, relational database structures, and reporting tools such as Power BI, Tableau, or Microsoft Excel.
- Bring analytical, troubleshooting, and problem-solving skills for investigating data discrepancies and assessing technical risks.
- Be able to mentor technical personnel, manage competing priorities, and communicate technical findings to technical and non-technical stakeholders.
- U.S. citizenship is required; selected candidates must successfully complete a background check and be able to obtain and maintain a Government/Public Trust clearance when required.
Responsibilities
- Lead and mentor SQL developers and data analysts, assigning tasks, setting priorities, reviewing deliverables, and supporting team development.
- Develop, review, and optimize SQL queries, scripts, and transformation logic in SQL Server, and establish coding and performance standards.
- Oversee healthcare data analysis, integration, and migration, including data flows, source-to-target mappings, data models, and data warehouse structures.
- Direct data quality monitoring, validation, and reconciliation, investigate root causes, and coordinate corrective actions.
- Coordinate data review sessions with program leadership and VA stakeholders, communicate technical findings, and manage risks.
- Review reports, dashboards, and recurring program deliverables before release.
- Maintain technical documentation, Agile workflows, validation protocols, and responsible AI-assisted development practices.
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