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Data QA Engineer
- Location: United States
- Employment type: C2C
- Work model: On-site
- Posted Yesterday
- Job ID: JPC - 211658
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Job Description
[About the Role]
Join Gartner as a Data QA Engineer and play a critical role in ensuring the accuracy and reliability of enterprise data solutions. You will leverage your expertise in SQL, PySpark/Spark, and Python to validate data pipelines, data warehouses, and reporting systems. Collaborate with cross-functional teams in a dynamic, innovation-driven environment focused on delivering trusted data products.
[Responsibilities]
- Design and execute comprehensive test strategies for ETL processes and data platforms
- Develop and maintain SQL and Python-based validation scripts for thorough data verification
- Perform source-to-target mapping and reconciliation to ensure data consistency and completeness
- Identify, document, and track data quality issues, working closely with engineering teams to resolve defects
- Support production readiness by validating transformations and performing regression testing
- Drive process improvement and automation in ETL and data quality assurance workflows
- Collaborate with data engineers, business analysts, and stakeholders to deliver reliable data solutions
[Required Skills and Experience]
- 5-10 years of hands-on experience in data QA, ETL testing, or data engineering
- Strong command of SQL and SQL Server for data validation and analysis
- Proficiency in PySpark/Spark for large-scale data processing and ETL validation
- Advanced Python scripting skills for automation and custom testing
- Track record of successfully validating enterprise data warehouses and reporting systems
[Preferred Skills]
- Experience with enterprise data platforms
- Exposure to data reconciliation tools
- Familiarity with CI/CD and automated testing frameworks
[Benefits]
- Opportunity for rapid career growth within a global leader in research and advisory
- Collaborative, high-performance work environment
- Access to cutting-edge projects and the latest data technologies
- Competitive compensation and comprehensive benefits package
[How to Apply]
Ready to advance your data QA career? Submit your resume and a brief cover letter highlighting your ETL testing achievements via our online application portal.
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Job details
Job ID JPC - 211658
Location United States
Work Model On-site
Employment Type C2C
Experience 5-10 years
Industry IT
Pay Rate $30 - $33 (Hourly)
Posted October 21, 2026
Skills SQL SQL Server PySpark/Spark for data processing and ETL validation
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