Data Quality Analyst and Tester (Remote Opportunity)

Posted Yesterday
Hiring Remotely in Dallas, TX, USA
In-Office or Remote
Entry level
Artificial Intelligence • Cloud • Information Technology • Machine Learning
The Role
Performs data-quality checks, migration validation, SQL-based reconciliation, discrepancy investigation, and root-cause analysis across large VA healthcare datasets. Supports DMM tools, cutover and go-live activities, reporting, application monitoring, access administration, documentation, and stakeholder meetings. Collaborates with VA, Oracle Health, InterSystems IRIS, engineering, and subject-matter teams to resolve migration issues and implement new data-quality capabilities.
Summary Generated by Built In

VetsEZ is seeking a Data Quality Analyst & Testerto support the Department of Veterans Affairs (VA) Data Migration and Management (DMM) Support Services for Electronic Health Record Modernization (EHRM). This role is critical to ensure that data migrated from VistA through VX130 to Oracle Health is complete, correct, traceable, and ready to support bulk migration, cutover, and VA site go-live activities.

Responsibilities:

• Execute and monitor daily Data Quality (DQ) checks across multiple VA sites and large datasets using DMM / IRIS data-quality tools.

• Investigate data-quality discrepancies, identify root causes, coordinate corrective actions, and drive issues through resolution to protect Data Migration integrity.

• Validate migration queries, extracts, transformed data, and transmitted data for completeness and correctness in support of bulk migration, cutover, and site go-live activities.

• Partner with InterSystems IRIS developers, VA staff, Oracle Health, and appropriate SMEs to research and resolve migration-data discrepancies and validation issues.

• Prepare, maintain, and support weekly Data Quality reporting demonstrating results against VA / DMM-defined standards, and provide accurate status for Weekly Progress Reporting.

• Gather requirements, implement, test, and deploy new or enhanced Data Quality capabilities, checks, queries, and reporting functions.

• Create, validate, and troubleshoot SQL queries and data extracts across multiple clinical and administrative data domains.

• Monitor DQ applications and supporting environments, identify application/server issues, and coordinate resolution with the appropriate engineering or platform teams.

• Administer DQ application access and permissions as assigned and maintain accurate documentation of DQ tools, checks, processes, and operating procedures.

• Facilitate recurring Data Quality meetings and communicate status, findings, risks, and resolution plans clearly to technical and non-technical stakeholders.

• Use and support DMM applications such as the Data Quality Tool, Data Quality Control Panel, Journal File Search, Enterprise Domain Activity by Site, Query Management Tool, Cutover Check Application, Data Migration Event Tracker, and DMM Ticketing System.

Requirements:

• Bachelor's degree in Computer Science, Information Systems, Engineering, Data Analytics, or a related technical discipline.

• Experience performing data validation, data-quality analysis, testing, reconciliation, or troubleshooting across large datasets.

• Strong SQL skills, including the ability to create and validate ad hoc queries used for investigation and reconciliation.

• Experience with automation, monitoring, data mapping, testing, or analytical tools.

• Knowledge of database architecture, data integrity concepts, and security considerations for on-premises and cloud-hosted systems.

• Strong problem-solving skills with the ability to investigate discrepancies, identify patterns, and communicate clear findings and recommended actions.

• Strong oral and written communication skills, including the ability to lead technical discussions and present findings to customers and stakeholders.

Additional Qualifications:

• Experience with InterSystems IRIS / Caché, VistA, VX130, or VA healthcare data.

• Familiarity with Linux, Kubernetes / containers, Power BI, GitHub / Azure DevOps, and Agile / Scrum environments.

• Experience supporting data migration, cutover validation, or healthcare data reconciliation.

• Experience supporting Department of Veterans Affairs (VA) or other federal healthcare environments.

• Ability to obtain and maintain the required Government background investigation / access authorization.

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, and Vision insurance

• 401(k) with Employer Match

• PTO and Federal Holidays

• Corporate-provided Laptop

• Training and Professional Development Opportunities

• Fully Remote Role

Note: Selected candidates will be required to complete fingerprinting at a government facility and undergo a background check as part of the hiring process.

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.

Skills Required

  • Bachelor’s degree in Computer Science, Information Systems, Engineering, Data Analytics, or a related technical discipline
  • Experience performing data validation, data-quality analysis, testing, reconciliation, or troubleshooting across large datasets
  • Strong SQL skills, including creating and validating ad hoc investigation and reconciliation queries
  • Experience with automation, monitoring, data mapping, testing, or analytical tools
  • Knowledge of database architecture, data integrity concepts, and security considerations for on-premises and cloud-hosted systems
  • Strong problem-solving skills for investigating discrepancies, identifying patterns, and recommending actions
  • Strong oral and written communication skills, including leading technical discussions and presenting findings
  • Experience with InterSystems IRIS or Caché, VistA, VX130, or VA healthcare data
  • Familiarity with Linux, Kubernetes or containers, Power BI, GitHub or Azure DevOps, and Agile or Scrum environments
  • Experience supporting data migration, cutover validation, or healthcare data reconciliation
  • Experience supporting the Department of Veterans Affairs or other federal healthcare environments
  • U.S. citizenship
  • Ability to obtain and maintain Government/Public Trust clearance, including fingerprinting and background investigation
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The Company
HQ: San Diego, CA
144 Employees
Year Founded: 2012

What We Do

VetsEZ is a digital services firm with expertise in the rapid delivery of modern, user-centric, and data-driven digital solutions that helps the federal government serve our people better. We accelerate the missions of our federal partners through human-centered design (HCD), DevSecOps practices, and automation and by leveraging the power of artificial intelligence, machine learning, and cloud computing in public and private clouds. VetsEZ is a mature Service-Disabled, Veteran-Owned Small Business (SDVOSB), appraised at CMMI-DEV L3 and certified as an ISO 9001, ISO 20000-1, and ISO 27001 company. VetsEZ is a prime contractor on VA T4NG, NITAAC CIOSP3, SEC OneIT, and GSA MAS.

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