Inovalon
Healthcare
QualityEngineer-DataQuality&TestDataManagement
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Quality Engineer - Data Quality & Test Data Management at Inovalon. Skills: Data Quality, Test Data Management, SQL, Data Validation. Own and maintain test data strategies. Create, curate, and validate test datasets”
Industry & Context.
Analytical thinking; Root cause analysis
Authorized to work in US
What They're Looking For.
Must Have
4-8 years experience in software quality assurance, Emphasis on data validation and testing, Complex SQL queries for validation and analysis, Testing data extractions, reports, ETL pipelines, or data migrations, Experience working in Agile Scrum teams, Understanding of SDLC, Agile workflows, and defect management, High attention to detail, Analytical thinking skills, Communicate data quality risks clearly
Nice to Have
Experience in healthcare, Experience in regulated environments, Experience in data-intensive platforms, Familiarity with healthcare data concepts, Familiarity with compliance considerations, Familiarity with reporting requirements, Validating large or complex datasets, Exposure to automation-friendly test design, Experience using AI-assisted tools
What You'll Do.
Own and maintain test data strategies
and validate test datasets
Ensure test data accuracy and alignment
Partner with engineering to mitigate risks
Validate data extractions
Test and reconcile data for reports
Test and reconcile data for feeds
Test and reconcile data for analytics
Perform data reconciliation testing
Design and execute test plans for data migrations
Validate migrated data preservation
Use advanced SQL queries for validation
Support root-cause analysis
Validate schema changes
Validate data model updates
Validate database-level impacts
Participate in Agile Scrum team
Contribute to sprint planning
Contribute to backlog refinement
Contribute to stand-ups
Contribute to reviews
Contribute to retrospectives
Define data-related acceptance criteria
Identify data quality risks
Communicate data quality risks
Create data-centric test plans
Create data-centric test cases
Leverage AI-assisted tools for test scenarios
Improve coverage for complex data sets
Collaborate to transition data tests to automation
Document and communicate data defects
Identify recurring data issues
Recommend systemic improvements
Contribute to improvements in data quality standards
Contribute to improvements in QA practices
How You'll Work.
Team & Collaboration
Agile Scrum team; Software Engineers; Quality Engineers; Quality Analysts; Product stakeholders; Engineering teams
Communication Scope
Communicate risks
Process & Methodology
Agile, Scrum
Full Job Description
Inovalon was founded in 1998 on the belief that technology, and data specifically, would empower the transformation of the entire healthcare ecosystem for the better, improving both outcomes and economics. At Inovalon, we believe that when our customers are successful in their missions, healthcare improves. Therefore, we focus on empowering them with data-driven solutions. And the momentum is building. Together, as ONE Inovalon, we are a united force delivering solutions that address healthcare’s greatest needs. Through our mission-based culture of inclusion and innovation, our organization brings value not just to our customers, but to the millions of patients and members they serve. Role Overview We are seeking a Quality Engineer with a strong data and technical background to focus on test data management, SQL‑driven validation, and data quality assurance for a cloud‑native healthcare application. This role is essential to ensuring the accuracy, consistency, and integrity of data used for reporting, analytics, integrations, and data migrations/conversions. This position operates as a core member of an Agile Scrum team, working closely with Software Engineers, Quality Engineers, Quality Analysts and product stakeholders to validate complex data flows end‑to‑end. The ideal candidate combines traditional QA discipline with deep analytical thinking, strong SQL skills, and a clear understanding of how healthcare data quality impacts customers, regulatory outcomes, and business trust. Key Responsibilities Test Data Management Own and maintain test data strategies that support functional testing, regression testing, performance testing, reporting validation, and data migrations. Create, curate, and validate high‑quality test datasets that reflect real‑world healthcare scenarios, edge cases, and historical data patterns. Ensure test data remains accurate, reusable, and aligned with evolving schemas and business rules. Partner with engineering to identify and mitigate risk
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