Pay
$94.7K–$144K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 1,811 postings in the last year. Stated ranges, not salaries paid.
SQL Developer & Analyst (Remote Opportunity)
- Pay
- Pay not listedSimilar roles state $95K–$144K
- Work setting
- Not stated
- Employment
Full-time — employment source
Employment type in the employer’s posting: Full-Time
From the employer’s posting
Before you apply
- Work authorization
- US citizens only
US Citizenship is required
What you’ll work on
Full postingWrite and optimize SQL Server queries, scripts and transformation logic for data validation and reconciliation
Build reports and dashboards in Power BI, Tableau, or Excel for program reporting
Maintain data quality monitoring processes and reconciliation reports during migration
Investigate data discrepancies and run root cause analysis, documenting findings
Maintain data dictionaries, mapping specifications, runbooks and validation protocols
From the employer’s posting
Develop, maintain, and optimize advanced SQL queries, scripts, and transformation logic
develop reports, dashboards, and visualizations using Power BI, Tableau, Excel, and related business intelligence tools
Develop and maintain data quality monitoring processes, validation routines, and reconciliation reports
Investigate data discrepancies, perform exploratory data analysis and root cause investigations, document findings
maintain technical documentation, including data dictionaries, mapping specifications, runbooks, and validation protocols
What you’ll bring
All qualificationsCore experience
- 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 five (5) years of relevant professional experience.
- Experience working within Agile development environments using JIRA, Azure DevOps, or similar tools, with knowledge of healthcare data governance, metadata management, source-to-target mapping, data quality monitoring, and technical documentation practices.
- Ability to obtain and maintain a Government/Public Trust clearance, including required fingerprinting, when required for the position.
- 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 activities.
- Experience using AI-assisted tools such as GitHub Copilot to develop and optimize SQL queries, generate data validation and reconciliation scripts, identify anomalies, analyze trends, and produce technical documentation, with an understanding of AI output validation, PHI/PII protection, and responsible AI practices within federal healthcare environments.
- Strong understanding of relational database structures, data modeling, indexing, normalization, and performance tuning, with experience developing reports and visualizations using Power BI, Tableau, or Microsoft Excel.
Qualification wording
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 five (5) years of relevant professional experience.
Experience working within Agile development environments using JIRA, Azure DevOps, or similar tools, with knowledge of healthcare data governance, metadata management, source-to-target mapping, data quality monitoring, and technical documentation practices.
Ability to obtain and maintain a Government/Public Trust clearance, including required fingerprinting, when required for the position.
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 activities.
Experience using AI-assisted tools such as GitHub Copilot to develop and optimize SQL queries, generate data validation and reconciliation scripts, identify anomalies, analyze trends, and produce technical documentation, with an understanding of AI output validation, PHI/PII protection, and responsible AI practices within federal healthcare environments.
Strong understanding of relational database structures, data modeling, indexing, normalization, and performance tuning, with experience developing reports and visualizations using Power BI, Tableau, or Microsoft Excel.
Education & alternatives
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 five (5) years of relevant professional experience. Strong hands-on experience developing advanced SQL queries, scripts, and data extraction processes using Microsoft SQL Server, including working with large, complex datasets and optimizing query performance.
Benefits in the posting
Full benefits wording- Medical/Dental/Vision
- 401k with Employer Match
- PTO + Federal Holidays
- Corporate Laptop
- Training Opportunities
- Remote Opportunity
From the employer’s posting.
Posting record
Report an errorActively hiringFirst seen by us 2 days ago, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Nov 3, 20262 days ago
- Recorded sightings
- 3
- Last seen by us
- Nov 5, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Time since we first saw it
Day 2
Early. Similar jobs usually come down between day 5 and day 41.
At VetsEZ, jobs usually come down by about day 28.
From 10,998 similar postings that came down, and 8 of VetsEZ’s. Coming down is not always a hire.
VetsEZ is hiring
7 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- Analyst hiring is picking up
- Takes jobs down at a usual pace
See how this role fits your experience
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.
- SQL
- Azure
- Excel
- Oracle
- Power BI
- SQL Server
- Tableau
Where the posting names them
We are currently looking for a SQL Developer / Data Analyst for a 100% remote position supporting a large federal government healthcare modernization project. This role will support the Department of Veterans Affairs (VA) by providing SQL development, data analysis, reporting, and data quality monitoring for ongoing electronic health record (EHR) modernization initiatives. The developer will work with large clinical and operational datasets, supporting data migration, integration, validation, and business intelligence reporting using SQL Server, Power BI, and related technologies. The position operates within a remote, multidisciplinary Agile team, collaborating with software developers, data engineers, quality assurance personnel, and federal stakeholders. The developer will participate in data analysis, reporting, validation, and continuous improvement activities to ensure the accuracy, completeness, and reliability of healthcare data throughout modernization and migration efforts.
Responsibilities: - Develop, maintain, and optimize advanced SQL queries, scripts, and transformation logic to support data extraction, validation, reconciliation, and analysis across large clinical and operational datasets within SQL Server environments. - Analyze and interpret healthcare data from multiple systems, identify trends and anomalies, and develop reports, dashboards, and visualizations using Power BI, Tableau, Excel, and related business intelligence tools to support program reporting and decision-making.
- Investigate data discrepancies, perform exploratory data analysis and root cause investigations, document findings, and maintain technical documentation, including 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 while validating generated outputs and maintaining data security and quality standards. - 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 five (5) years of relevant professional experience. Strong hands-on experience developing advanced SQL queries, scripts, and data extraction processes using Microsoft SQL Server, including working with large, complex datasets and optimizing query performance. 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 activities.
- Experience working within Agile development environments using JIRA, Azure DevOps, or similar tools, with 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 data validation and reconciliation scripts, identify anomalies, analyze trends, and produce technical documentation, with an understanding of AI output validation, PHI/PII protection, and responsible AI practices within federal healthcare environments. 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), and familiarity with InterSystems IRIS, Caché, mirrored database architectures, or EHR data migration and cutover verification activities. - Experience working within Agile development environments using JIRA, Azure DevOps, or similar tools, with 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 data validation and reconciliation scripts, identify anomalies, analyze trends, and produce technical documentation, with an understanding of AI output validation, PHI/PII protection, and responsible AI practices within federal healthcare environments.
- Develop, maintain, and optimize advanced SQL queries, scripts, and transformation logic to support data extraction, validation, reconciliation, and analysis across large clinical and operational datasets within SQL Server environments. - Analyze and interpret healthcare data from multiple systems, identify trends and anomalies, and develop reports, dashboards, and visualizations using Power BI, Tableau, Excel, and related business intelligence tools to support program reporting and decision-making. - Collaborate with developers, data engineers, and program stakeholders to evaluate data flows, source-to-target mappings, transformation requirements, and conceptual and physical data models supporting federal healthcare data warehouses and integration initiatives.
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 activities. Strong understanding of relational database structures, data modeling, indexing, normalization, and performance tuning, with experience developing reports and visualizations using Power BI, Tableau, or Microsoft Excel. Excellent analytical, troubleshooting, and problem-solving skills with strong attention to detail and the ability to identify data discrepancies, investigate root causes, and ensure data accuracy and integrity.
Additional Qualifications: - Previous experience supporting Department of Veterans Affairs (VA) healthcare data systems, including VX130, Oracle Health Millennium, or the Corporate Data Warehouse (CDW), and familiarity with InterSystems IRIS, Caché, mirrored database architectures, or EHR data migration and cutover verification activities. - Experience working within Agile development environments using JIRA, Azure DevOps, or similar tools, with knowledge of healthcare data governance, metadata management, source-to-target mapping, data quality monitoring, and technical documentation practices.
Your next step
Complete your application on vetsez.breezy.hr. The employer’s form will show what is required.
Applying through Breezy HR
- No account needed.
Already applied? Track this application
Has VetsEZ posted this job before?
Yes. We’ve followed 2 other SQL Developer & Analyst (Remote Opportunity) jobs there since November 2026. All 2 are still up.
Demand for Analyst roles
New Analyst postings at the employers we follow are up 19% 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.
About the role
We file this job under Analyst, by the work the posting describes.
Analysts answer business questions with data. They pull numbers with SQL, build reports and dashboards, and explain what changed and why to the people making decisions.
Most postings ask for SQL, spreadsheets, a dashboard tool such as Tableau or Power BI, and clear writing.
Unlike a data scientist, an analyst mostly explains what happened rather than building models that predict what will.
Job description
We are currently looking for a SQL Developer / Data Analyst for a 100% remote position supporting a large federal government healthcare modernization project. This role will support the Department of Veterans Affairs (VA) by providing SQL development, data analysis, reporting, and data quality monitoring for ongoing electronic health record (EHR) modernization initiatives. The developer will work with large clinical and operational datasets, supporting data migration, integration, validation, and business intelligence reporting using SQL Server, Power BI, and related technologies.
The position operates within a remote, multidisciplinary Agile team, collaborating with software developers, data engineers, quality assurance personnel, and federal stakeholders. The developer will participate in data analysis, reporting, validation, and continuous improvement activities to ensure the accuracy, completeness, and reliability of healthcare data throughout modernization and migration efforts.
The candidate must reside within the continental US.
Responsibilities:
- Develop, maintain, and optimize advanced SQL queries, scripts, and transformation logic to support data extraction, validation, reconciliation, and analysis across large clinical and operational datasets within SQL Server environments.
- Analyze and interpret healthcare data from multiple systems, identify trends and anomalies, and develop reports, dashboards, and visualizations using Power BI, Tableau, Excel, and related business intelligence tools to support program reporting and decision-making.
- Collaborate with developers, data engineers, and program stakeholders to evaluate data flows, source-to-target mappings, transformation requirements, and conceptual and physical data models supporting 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 throughout migration and EHR modernization activities.
- Investigate data discrepancies, perform exploratory data analysis and root cause investigations, document findings, and maintain technical documentation, including 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 while validating generated outputs and maintaining data security and quality standards.
- Take on additional tasks and responsibilities as needed to support team objectives and ensure the success of the project.
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 five (5) years of relevant professional experience.
Strong hands-on experience developing advanced SQL queries, scripts, and data extraction processes using Microsoft SQL Server, including working with large, complex datasets and optimizing query performance.
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 activities.
Strong understanding of relational database structures, data modeling, indexing, normalization, and performance tuning, with experience developing reports and visualizations using Power BI, Tableau, or Microsoft Excel.
Excellent analytical, troubleshooting, and problem-solving skills with strong attention to detail and the ability to identify data discrepancies, investigate root causes, and ensure data accuracy and integrity.
Strong written and verbal communication, documentation, and collaboration skills with the ability to present technical findings to both technical and non-technical stakeholders and work effectively within multidisciplinary teams.
Additional Qualifications:
- Previous experience supporting Department of Veterans Affairs (VA) healthcare data systems, including VX130, Oracle Health Millennium, or the Corporate Data Warehouse (CDW), and familiarity with InterSystems IRIS, Caché, mirrored database architectures, or EHR data migration and cutover verification activities.
- Experience working within Agile development environments using JIRA, Azure DevOps, or similar tools, with 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 data validation and reconciliation scripts, identify anomalies, analyze trends, and produce technical documentation, with an understanding of AI output validation, PHI/PII protection, and responsible AI practices within federal healthcare environments.
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:
- Medical/Dental/Vision
- 401k with Employer Match
- PTO + Federal Holidays
- Corporate Laptop
- 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.
Sorry, we are unable to offer sponsorship at this time.
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
Austin, TX
We are currently looking for a SQL Developer / Data Analyst for a 100% remote position supporting a large federal government healthcare modernization project. This role will support the Department of Veterans Affairs (VA) by providing SQL development, data analysis, reporting, and data quality monitoring for ongoing electronic health record (EHR) modernization initiatives. The developer will work with large clinical and operational datasets, supporting data migration, integration, validation, and business intelligence reporting using SQL Server, Power BI, and related technologies. The position operates within a remote, multidisciplinary Agile team, collaborating with software developers, data engineers, quality assurance personnel, and federal stakeholders. The developer will participate in data analysis, reporting, validation, and continuous improvement activities to ensure the accuracy, completeness, and reliability of healthcare data throughout modernization and migration efforts. The candidate must reside within the continental US. Responsibilities:
More source context
- 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.
- Work authorization
- Experience using AI-assisted tools such as GitHub Copilot to develop and optimize SQL queries, generate data validation and reconciliation scripts, identify anomalies, analyze trends, and produce technical documentation, with an understanding of AI output validation, PHI/PII protection, and responsible AI practices within federal healthcare environments. Security Clearance Requirements: - U.S. Citizenship is required. - All selected candidates must successfully complete a background check.
More source context
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.