Lead QA Automation Engineer

🔥 0 minutes ago

🌽 Illinois – Remote

🌽 Illinois – Remote

💵 $107.1k - $159.4k / year

⏰ Full Time

🟠 Senior

⚙️ Software Development Engineer in Test (SDET)

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Reinsurance Group of America, Incorporated

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 1973

⚕️ Healthcare Insurance

Insurance • Healthcare Insurance • Financial Services

Reinsurance Group of America, Incorporated (RGA) is a leading global reinsurance company that focuses exclusively on life and health reinsurance solutions. With a strong commitment to providing innovative products and services, RGA helps its clients manage risk and enhance their insurance portfolios through its expertise in underwriting, claims management, and financial solutions. The company operates in multiple global markets, leveraging its extensive data and analytics capabilities to offer tailored solutions that meet the unique needs of the life and health insurance sectors.

📋 Description

• 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

🎯 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