The QA Test Engineer will design and execute test cases for MDM projects, validate data quality, match and merge logic, perform testing for various MDM solutions, and collaborate with developers and stakeholders.
This is a remote position.
QA Test Engineer - MDM
Job Description:
We are looking for a detail-oriented QA Test Engineer with hands-on experience in testing Master Data Management (MDM) projects. The ideal candidate should have strong expertise in validating Match and Merge logic, data quality rules, and end-to-end MDM workflows to ensure accurate and reliable master data across enterprise systems.
Key Responsibilities:
- Design and execute test cases for MDM implementations, focusing on Match, Merge, and Survivorship logic.
- Validate golden record creation, duplicate detection, and de-duplication scenarios.
- Test MDM data models, hierarchies, and relationships.
- Perform data validation across staging, base, and downstream systems.
- Validate data quality rules, standardization, and enrichment logic.
- Execute functional, integration, regression, and UAT testing for MDM solutions.
- Perform backend data testing using SQL queries.
- Validate batch and real-time data loads and reconciliations.
- Log, track, and retest defects using tools like JIRA.
- Collaborate closely with MDM developers, data architects, and business stakeholders.
- Support release testing and post-production validation.
Required Skills & Qualifications:
- Proven experience as a QA Test Engineer on MDM projects.
- Strong hands-on experience with Match & Merge logic and survivorship rules.
- Good understanding of MDM concepts such as golden records, XREF, trust score, and hierarchies.
- Strong SQL skills for data validation and analysis.
- Experience with data quality and data governance testing.
- Familiarity with ETL/ELT processes and data integration testing.
- Experience working in Agile / Scrum environments.
Similar Jobs
Artificial Intelligence • Fintech • Insurance • Marketing Tech • Software • Analytics
Handle inbound/warm insurance sales leads, consult customers on coverage, and close policies. Participate in paid remote training and obtain Property & Casualty license. Work scheduled shifts (including one weekend day), meet W@H technical requirements, and use provided equipment to achieve sales targets and performance goals.
Top Skills:
Dsl)FiberHigh-Speed Wired Internet (CablePc
Cloud • Information Technology • Productivity • Security • Software • App development • Automation
Drive adoption of Atlassian's AI platform (Rovo) by discovering high-impact use cases, co-designing and building custom agents, configuring connectors, and deploying solutions to production. Run workshops, enable customers, collaborate with account and product teams, and measure adoption outcomes to expand AI use across enterprise workflows.
Top Skills:
Ai PlatformsConfluenceGitGoogle DriveJIRARovoRovo StudioSharepointSlack
Cloud • Information Technology • Productivity • Security • Software • App development • Automation
Build and maintain ETL/ELT pipelines to move product data into analytics-ready stores (Postgres, data lake, warehouse). Design and optimize data models, ensure data quality and documentation, support ad-hoc research requests, and collaborate with research and engineering teams to enable reproducible analytics.
Top Skills:
Analytics WarehouseData LakeEltETLJsonbPostgresSQL
What you need to know about the Boston Tech Scene
Boston is a powerhouse for technology innovation thanks to world-class research universities like MIT and Harvard and a robust pipeline of venture capital investment. Host to the first telephone call and one of the first general-purpose computers ever put into use, Boston is now a hub for biotechnology, robotics and artificial intelligence — though it’s also home to several B2B software giants. So it’s no surprise that the city consistently ranks among the greatest startup ecosystems in the world.
Key Facts About Boston Tech
- Number of Tech Workers: 269,000; 9.4% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Thermo Fisher Scientific, Toast, Klaviyo, HubSpot, DraftKings
- Key Industries: Artificial intelligence, biotechnology, robotics, software, aerospace
- Funding Landscape: $15.7 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Summit Partners, Volition Capital, Bain Capital Ventures, MassVentures, Highland Capital Partners
- Research Centers and Universities: MIT, Harvard University, Boston College, Tufts University, Boston University, Northeastern University, Smithsonian Astrophysical Observatory, National Bureau of Economic Research, Broad Institute, Lowell Center for Space Science & Technology, National Emerging Infectious Diseases Laboratories


