Note: The job is a remote job and is open to candidates in USA. Reinsurance Group of America (RGA) is a purpose-driven Fortune 200 global reinsurance company focused primarily on life- and health-related solutions. The Lead QA Automation Engineer will drive end-to-end quality engineering for enterprise data products by designing scalable test automation frameworks, validating complex data pipelines and platforms, and partnering with product, engineering, and data teams to deliver reliable, production-ready solutions.
Responsibilities
- Lead small-to-medium QA initiatives with manageable risks, defining detailed test strategies, automation plans, and execution roadmaps
- Collaborate with business and IT stakeholders to translate data requirements into testable scenarios, ensuring data quality, validation, and completeness across the data lake
- Design, develop, and maintain test automation frameworks and quality engineering architecture aligned with big data platforms
- Perform data testing and validation, including data models, pipelines, transformations, and repository/catalog verification
- Build and support automated processes to validate data ingestion from source systems into the data lake, ensuring accuracy and reliability
- Provide team leadership, mentoring QA engineers, driving best practices, and owning overall quality outcomes for the team
- Develop test coverage models, data validation schematics, and capacity-aware testing strategies
- Drive continuous improvement in test automation efficiency, data validation performance, and security validation
- Establish and implement quality metrics, KPIs, and monitoring frameworks for data testing and automation effectiveness
- Recommend and enforce QA standards, automation frameworks, and testing processes across data platforms
Skills
- * Bachelor's Degree in Arts/Sciences (BA/BS) or equivalent education/ experience - Required
- * 8+ years big data or relevant experience. Demonstrated ability to quickly learn new technologies - Required
- * 8+ years experience with cataloging, modeling, ingestion, processing, and streaming technologies and processes - Required
- * 4+ years of Data Analysis experience - Required
- * Demonstrated ability to lead QA teams, drive automation strategy, and influence cross-functional stakeholders - Required
- * Strong problem-solving and analytical skills with ability to validate complex data scenarios and communicate insights clearly - Required
- * Expertise in data testing (ETL, data pipelines, data lake validation, reconciliation) - Required
- * Proficiency in SQL and data validation techniques (data completeness, accuracy, lineage checks) - Required
- * Strong understanding of CI/CD pipelines and automation integration - Required
- * Experience validating data quality rules, transformations, and business logic across data layers - Required
- * Knowledge of data security, privacy (PII), and compliance validation - Required
- * Master's degree in Arts/Sciences (MA/MS) - Preferred
- * Experience with API and integration testing (REST, JSON, data contracts) - Preferred
- * Hands-on experience with test automation frameworks (Playwright, Selenium, Cypress) for UI + data validation - Preferred
- * Experience working with big data platforms (Hive, Spark, NoSQL, data lake architectures) - Preferred
- * Experience with data warehouse / BI testing (report validation, dashboards, metrics reconciliation) - Preferred
- * Familiarity with cloud data platforms (Azure, AWS, Snowflake, Databricks) - Preferred
- * Exposure to data observability, monitoring, and quality frameworks - Preferred
- * Experience implementing test metrics, KPIs, and quality dashboards - Preferred
- * Knowledge of performance testing for data pipelines - Preferred
Benefits
- RGA provides an annual bonus plan that includes all roles.
- Some positions are eligible for participation in RGA's long-term equity incentive plan.
- RGA maintains a full range of health, retirement, and other employee benefits.
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