Pay
$154K–$225K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 2,958 postings in the last year. Stated ranges, not salaries paid.
Charleston, SC
Actively hiring, first seen by us 2 days agoEmployment type in the employer’s posting: Full-TimeFrom the employer’s posting
US Citizenship is required
Lead and mentor SQL developers and data analysts, assigning tasks and reviewing work
Write and optimize advanced SQL Server queries and transformation logic
Direct data quality validation and root cause investigations on clinical datasets
Serve as main technical contact for program leadership and VA stakeholders
Oversee data migration, integration, and warehouse structure work for EHR modernization
Lead and mentor a team of SQL developers and data analysts, assigning tasks, establishing priorities, monitoring deliverables, conducting technical reviews
Provide hands-on technical leadership in developing, reviewing, and optimizing advanced SQL queries, scripts, and transformation logic within SQL Server environments
Direct data quality monitoring, validation, and reconciliation activities to ensure the completeness, accuracy, consistency, and timeliness of clinical datasets
Serve as the primary technical point of contact for program leadership and VA stakeholders
Oversee healthcare data analysis, integration, and migration activities
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, with a minimum of eight (8) years of relevant professional experience.
Experience leading technical teams within Agile development environments using JIRA, Azure DevOps, or similar tools, including sprint planning, backlog management, peer code reviews, technical documentation, metadata management, and coordination of data quality and reporting deliverables.
Ability to obtain and maintain a Government/Public Trust clearance, including required fingerprinting, when required for the position.
Demonstrated experience leading or serving as a technical lead for SQL development, data analysis, or data engineering teams, including assigning work, establishing technical standards, reviewing deliverables, and providing technical guidance.
Experience implementing and overseeing AI-assisted development practices using tools such as GitHub Copilot to optimize SQL queries, automate data validation and reconciliation, analyze trends, and maintain technical documentation, including establishing review standards, validating AI-generated outputs, protecting PHI/PII, and ensuring compliance with federal responsible AI guidance.
Strong experience analyzing healthcare or clinical datasets, including familiarity with HL7, FHIR, or VistA, data migration and validation processes, relational database structures, and reporting tools such as Power BI, Tableau, or Microsoft Excel.
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, with a minimum of eight (8) years of relevant professional experience. - Extensive hands-on experience developing, reviewing, and optimizing advanced SQL queries, scripts, and data transformation processes using Microsoft SQL Server, including working with large, complex datasets and applying indexing, normalization, and performance tuning techniques.
From the employer’s posting.
Actively hiringFirst seen by us 2 days ago, still listed, and not a repost of an earlier posting.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
$154K–$225K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 2,958 postings in the last year. Stated ranges, not salaries paid.
Day 2
Early. Similar jobs usually come down between day 7 and day 54.
At VetsEZ, jobs usually come down by about day 28.
From 7,946 similar postings that came down, and 8 of VetsEZ’s. Coming down is not always a hire.
7 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
We are currently looking for a SQL Development / Data Analysis Team Lead for a 100% remote position supporting a large federal government healthcare modernization project. This role will support the Department of Veterans Affairs (VA) by leading a team responsible for SQL development, clinical data analysis, reporting, and data quality monitoring in support of electronic health record (EHR) modernization initiatives. The Team Lead will provide technical leadership and hands-on expertise in SQL Server, data migration, data integration, and business intelligence reporting while ensuring the accuracy, integrity, and reliability of healthcare data. The position operates within a remote, multidisciplinary Agile environment, collaborating with SQL developers, data analysts, data engineers, quality assurance personnel, program leadership, and federal stakeholders. The Team Lead will oversee technical deliverables, establish development standards, mentor team members, and coordinate data validation and reporting activities while supporting continuous improvement and responsible adoption of AI-assisted development tools.
We are currently looking for a SQL Development / Data Analysis Team Lead for a 100% remote position supporting a large federal government healthcare modernization project. This role will support the Department of Veterans Affairs (VA) by leading a team responsible for SQL development, clinical data analysis, reporting, and data quality monitoring in support of electronic health record (EHR) modernization initiatives. The Team Lead will provide technical leadership and hands-on expertise in SQL Server, data migration, data integration, and business intelligence reporting while ensuring the accuracy, integrity, and reliability of healthcare data. The position operates within a remote, multidisciplinary Agile environment, collaborating with SQL developers, data analysts, data engineers, quality assurance personnel, program leadership, and federal stakeholders. The Team Lead will oversee technical deliverables, establish development standards, mentor team members, and coordinate data validation and reporting activities while supporting continuous improvement and responsible adoption of AI-assisted development tools. The candidate must reside within the continental US.
Responsibilities: Lead and mentor a team of SQL developers and data analysts, assigning tasks, establishing priorities, monitoring deliverables, conducting technical reviews, and supporting team development, onboarding, and performance improvement. Provide hands-on technical leadership in developing, reviewing, and optimizing advanced SQL queries, scripts, and transformation logic within SQL Server environments, establishing coding standards, peer review practices, and database performance optimization guidelines.
Lead and mentor a team of SQL developers and data analysts, assigning tasks, establishing priorities, monitoring deliverables, conducting technical reviews, and supporting team development, onboarding, and performance improvement. Provide hands-on technical leadership in developing, reviewing, and optimizing advanced SQL queries, scripts, and transformation logic within SQL Server environments, establishing coding standards, peer review practices, and database performance optimization guidelines. Oversee healthcare data analysis, integration, and migration activities, including evaluating data flows, source-to-target mappings, conceptual and physical data models, and data warehouse structures to support EHR modernization objectives.
Serve as the primary technical point of contact for program leadership and VA stakeholders, coordinating data review sessions, communicating technical findings, managing risks, and reviewing reports, dashboards, and recurring program deliverables prior to release. Establish and maintain technical documentation and development practices, including data dictionaries, runbooks, validation protocols, Agile workflows, and responsible AI-assisted development standards for SQL optimization, data analysis, automated validation, and documentation. 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, Electronics Engineering, or another engineering or technical discipline, or eight (8) years of additional relevant experience in lieu of a degree, with a minimum of eight (8) years of relevant professional experience. - Extensive hands-on experience developing, reviewing, and optimizing advanced SQL queries, scripts, and data transformation processes using Microsoft SQL Server, including working with large, complex datasets and applying indexing, normalization, and performance tuning techniques. - Demonstrated experience leading or serving as a technical lead for SQL development, data analysis, or data engineering teams, including assigning work, establishing technical standards, reviewing deliverables, and providing technical guidance.
- Extensive hands-on experience developing, reviewing, and optimizing advanced SQL queries, scripts, and data transformation processes using Microsoft SQL Server, including working with large, complex datasets and applying indexing, normalization, and performance tuning techniques. - Demonstrated experience leading or serving as a technical lead for SQL development, data analysis, or data engineering teams, including assigning work, establishing technical standards, reviewing deliverables, and providing technical guidance. - Strong experience analyzing healthcare or clinical datasets, including familiarity with HL7, FHIR, or VistA, data migration and validation processes, relational database structures, and reporting tools such as Power BI, Tableau, or Microsoft Excel.
Experience leading technical teams within Agile development environments using JIRA, Azure DevOps, or similar tools, including sprint planning, backlog management, peer code reviews, technical documentation, metadata management, and coordination of data quality and reporting deliverables. Experience implementing and overseeing AI-assisted development practices using tools such as GitHub Copilot to optimize SQL queries, automate data validation and reconciliation, analyze trends, and maintain technical documentation, including establishing review standards, validating AI-generated outputs, protecting PHI/PII, and ensuring compliance with federal responsible AI guidance. Security Clearance Requirements:
Previous experience supporting Department of Veterans Affairs (VA) healthcare data systems, including VX130, Oracle Health Millennium, or the Corporate Data Warehouse (CDW), with familiarity in InterSystems IRIS, Caché, mirrored database architectures, EHR data migration, cutover verification, and healthcare data governance practices. Experience leading technical teams within Agile development environments using JIRA, Azure DevOps, or similar tools, including sprint planning, backlog management, peer code reviews, technical documentation, metadata management, and coordination of data quality and reporting deliverables. Experience implementing and overseeing AI-assisted development practices using tools such as GitHub Copilot to optimize SQL queries, automate data validation and reconciliation, analyze trends, and maintain technical documentation, including establishing review standards, validating AI-generated outputs, protecting PHI/PII, and ensuring compliance with federal responsible AI guidance.
- Demonstrated experience leading or serving as a technical lead for SQL development, data analysis, or data engineering teams, including assigning work, establishing technical standards, reviewing deliverables, and providing technical guidance. - Strong experience analyzing healthcare or clinical datasets, including familiarity with HL7, FHIR, or VistA, data migration and validation processes, relational database structures, and reporting tools such as Power BI, Tableau, or Microsoft Excel. - Excellent analytical, troubleshooting, and problem-solving skills with strong attention to detail and the ability to investigate complex data discrepancies, assess technical risks, and implement effective solutions.
Additional Qualifications: Previous experience supporting Department of Veterans Affairs (VA) healthcare data systems, including VX130, Oracle Health Millennium, or the Corporate Data Warehouse (CDW), with familiarity in InterSystems IRIS, Caché, mirrored database architectures, EHR data migration, cutover verification, and healthcare data governance practices. Experience leading technical teams within Agile development environments using JIRA, Azure DevOps, or similar tools, including sprint planning, backlog management, peer code reviews, technical documentation, metadata management, and coordination of data quality and reporting deliverables.
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New Data Leadership postings at the employers we follow are up 7% over the last 5 weeks compared with the 5 before.
Each bar is one week of new postings. The darkest bars are the last 5 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
We file this job under Data Leadership, by the work the posting describes.
Data leaders run data teams or design how a company's data fits together. Managers hire, set priorities and answer for whether the data work pays off; architects choose the systems and the shape of the data.
Expect years of hands-on data work, experience leading people or projects, and the ability to explain tradeoffs to executives.
Unlike a senior engineer or analyst, most of a data leader's week goes to people, planning and decisions rather than building.
The government has no code for data leaders, so these figures are for the closest group, computer and information systems managers, which includes data processing and data operations managers.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 11-3021.
We are currently looking for a SQL Development / Data Analysis Team Lead for a 100% remote position supporting a large federal government healthcare modernization project. This role will support the Department of Veterans Affairs (VA) by leading a team responsible for SQL development, clinical data analysis, reporting, and data quality monitoring in support of electronic health record (EHR) modernization initiatives. The Team Lead will provide technical leadership and hands-on expertise in SQL Server, data migration, data integration, and business intelligence reporting while ensuring the accuracy, integrity, and reliability of healthcare data.
The position operates within a remote, multidisciplinary Agile environment, collaborating with SQL developers, data analysts, data engineers, quality assurance personnel, program leadership, and federal stakeholders. The Team Lead will oversee technical deliverables, establish development standards, mentor team members, and coordinate data validation and reporting activities while supporting continuous improvement and responsible adoption of AI-assisted development tools.
The candidate must reside within the continental US.
Responsibilities:
Lead and mentor a team of SQL developers and data analysts, assigning tasks, establishing priorities, monitoring deliverables, conducting technical reviews, and supporting team development, onboarding, and performance improvement.
Provide hands-on technical leadership in developing, reviewing, and optimizing advanced SQL queries, scripts, and transformation logic within SQL Server environments, establishing coding standards, peer review practices, and database performance optimization guidelines.
Oversee healthcare data analysis, integration, and migration activities, including evaluating data flows, source-to-target mappings, conceptual and physical data models, and data warehouse structures to support EHR modernization objectives.
Direct data quality monitoring, validation, and reconciliation activities to ensure the completeness, accuracy, consistency, and timeliness of clinical datasets, leading root cause investigations and coordinating corrective actions with development and QA teams.
Serve as the primary technical point of contact for program leadership and VA stakeholders, coordinating data review sessions, communicating technical findings, managing risks, and reviewing reports, dashboards, and recurring program deliverables prior to release.
Establish and maintain technical documentation and development practices, including data dictionaries, runbooks, validation protocols, Agile workflows, and responsible AI-assisted development standards for SQL optimization, data analysis, automated validation, and documentation.
Take on additional tasks and responsibilities as needed to support team objectives and ensure the success of the project.
Requirements:
Additional Qualifications:
Previous experience supporting Department of Veterans Affairs (VA) healthcare data systems, including VX130, Oracle Health Millennium, or the Corporate Data Warehouse (CDW), with familiarity in InterSystems IRIS, Caché, mirrored database architectures, EHR data migration, cutover verification, and healthcare data governance practices.
Experience leading technical teams within Agile development environments using JIRA, Azure DevOps, or similar tools, including sprint planning, backlog management, peer code reviews, technical documentation, metadata management, and coordination of data quality and reporting deliverables.
Experience implementing and overseeing AI-assisted development practices using tools such as GitHub Copilot to optimize SQL queries, automate data validation and reconciliation, analyze trends, and maintain technical documentation, including establishing review standards, validating AI-generated outputs, protecting PHI/PII, and ensuring compliance with federal responsible AI guidance.
Security Clearance Requirements:
U.S. Citizenship is required.
All selected candidates must successfully complete a background check.
Ability to obtain and maintain a Government/Public Trust clearance, including required fingerprinting, when required for the position.
Benefits:
VetsEZ is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability, or protected veteran status.
Sorry, we are unable to offer sponsorship at this time.
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Charleston, SC
- Training Opportunities - Remote Opportunity VetsEZ is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability, or protected veteran status.
More relevant text appears in the full description.
Experience implementing and overseeing AI-assisted development practices using tools such as GitHub Copilot to optimize SQL queries, automate data validation and reconciliation, analyze trends, and maintain technical documentation, including establishing review standards, validating AI-generated outputs, protecting PHI/PII, and ensuring compliance with federal responsible AI guidance. Security Clearance Requirements: U.S. Citizenship is required. All selected candidates must successfully complete a background check.
VetsEZ is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability, or protected veteran status. Sorry, we are unable to offer sponsorship at this time.