Reinsurance Group of America, Incorporated logo
Reinsurance Group of America, Incorporated

Trusted Partner. Proven Results.

Lead QA Automation Engineer

SDETSDETFull TimeRemoteSeniorTeam 1,001-5,000Since 1973H1B No SponsorCompany SiteLinkedIn

Location

Illinois

Posted

3 days ago

Salary

$107.1K - $159.4K / year

Seniority

Senior

Bachelor Degree8 yrs expEnglishAWSAzureCloudCypressETLNoSQLSeleniumSparkSQL

Job Description

Lead QA Automation Engineer

Reinsurance Group of America, Incorporated

• Lead small-to-medium QA initiatives and define test strategies • Collaborate with stakeholders to translate data requirements into testable scenarios • Design, develop, and maintain test automation frameworks • Perform data testing and validation across data pipelines • Build and support automated processes for data ingestion validation • Provide team leadership, mentoring QA engineers, driving best practices • Develop test coverage models and capacity-aware testing strategies • Establish quality metrics, KPIs, and monitoring frameworks • Recommend and enforce QA standards and testing processes across data platforms

Job Requirements

  • 8+ years big data or relevant experience
  • 8+ years' experience with cataloging, modeling, ingestion, processing, and streaming technologies and processes
  • 4+ years of Data Analysis experience
  • Demonstrated ability to lead QA teams, drive automation strategy, and influence cross-functional stakeholders
  • Strong problem-solving and analytical skills
  • Expertise in data testing (ETL, data pipelines, data lake validation, reconciliation)
  • Proficiency in SQL and data validation techniques
  • Strong understanding of CI/CD pipelines and automation integration
  • Experience validating data quality rules, transformations, and business logic
  • Knowledge of data security, privacy (PII), and compliance validation
  • Experience with API and integration testing (REST, JSON, data contracts)
  • Hands-on experience with test automation frameworks (Playwright, Selenium, Cypress)
  • Experience working with big data platforms (Hive, Spark, NoSQL, data lake architectures)
  • Familiarity with cloud data platforms (Azure, AWS, Snowflake, Databricks)
  • Exposure to data observability and monitoring frameworks
  • Experience implementing test metrics, KPIs, and quality dashboards
  • Knowledge of performance testing for data pipelines

Benefits

  • Annual bonus plan
  • Participation in long-term equity incentive plan
  • Full range of health benefits
  • Retirement benefits

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