QA Engineer ID48833

AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards. WHY JOIN US If you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you! ABOUT THE ROLE As a Middle/Senior Quality Assurance Automation Engineer, youll help ensure the accuracy and reliability of analytics products that support data-driven decisions in the healthcare domain. Partnering closely with product, data, and engineering teams, youll balance hands-on testing with automation to strengthen quality across APIs, backend workflows, and data pipelines. This role offers meaningful influence on quality strategy, growth in automation and analytics expertise, and a collaborative, ownership-driven team environment. WHAT YOU WILL DO - Execute manual and automated tests across APIs, backend pipelines, and analytics outputs; - Validate data transformations, business rules, and calculations against requirements; - Write SQL queries to confirm data accuracy, identify inconsistencies, and investigate reported issues; - Create and maintain test cases, test plans, and execution reports using Jira/TestRail or similar tools; - Participate in requirements reviews to identify gaps, ambiguities, and edge cases early; - Support automation efforts by creating or updating API test scripts and regression suites; - Collaborate with developers and data engineers to troubleshoot defects and verify fixes; - Contribute to improving CI/CD test integration and quality gates; - Monitor recurring defects and provide visibility into quality trends; - Assist in validating releases and confirming readiness for deployment. MUST HAVES - 24 years of professional QA experience in manual and automation testing; - Strong SQL skills including joins, DML/DDL, data validation, window functions, and logic validation; - Experience testing APIs manually using Postman, Insomnia, or similar tools; - Basic exposure to API automation frameworks or scripting; - Experience using Jira, TestRail, or similar QA management tools; - Understanding of CI/CD concepts and version control such as GitHub or Bitbucket; - Ability to analyze functional requirements and propose test scenarios and edge cases; - Solid understanding of QA processes, regression cycles, and defect lifecycle; - Upper-intermediate English level. NICE TO HAVES - Python knowledge at a basic scripting level; - Experience with Snowflake or other cloud data warehouses; - Familiarity with Apache NiFi, S3, or AWS Lambda; - Experience testing Looker, Power BI, MicroStrategy, or similar BI tools; - Backend automation experience using Python-based frameworks; - Understanding of data processing, ETL, or large-scale ingestion pipelines; - Previous exposure to healthcare, pharma, or analytics data. PERKS AND BENEFITS - Professional growth: Mentorship, TechTalks, and personalized growth roadmaps. - Competitive compensation: USD-based pay with education, fitness, and team activity budgets. - Exciting projects: Modern solutions with Fortune 500 and top product companies. - Flextime: Flexible schedule with remote and office options.
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Middle/Senior
2–4 years of professional QA experience in manual and automation testing; Strong SQL skills including joins, DML/DDL, data validation, window functions, and logic validation; Experience testing APIs manually using Postman, Insomnia, or similar tools; Basic exposure to API automation frameworks or scripting; Experience using Jira, TestRail, or similar QA management tools; Understanding of CI/CD concepts and version control such as GitHub or Bitbucket; Ability to analyze functional requirements and propose test scenarios and edge cases; Solid understanding of QA processes, regression cycles, and defect lifecycle; Upper-intermediate English level.