Lead QA Automation Engineer

🔥 29 minutes ago

🌽 Illinois – Remote

🌽 Illinois – Remote

💵 $107.1k - $159.4k / year

⏰ Full Time

🟠 Senior

⚙️ Software Development Engineer in Test (SDET)

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

Reinsurance Group of America, Incorporated

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 1973

💼 Consulting

📦 Logistics

🛡️ Insurance

Consulting • Logistics • Insurance

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 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

🎯 Requirements

• Bachelor’s Degree in Arts/Sciences (BA/BS) or equivalent education/ experience - Required • 8+ years big data or relevant experience - 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 • 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

• annual bonus plan • participation in long-term equity incentive plan • full range of health benefits • retirement benefits