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AI Summary
The role involves executing manual and automated tests for APIs and backend pipelines to ensure the reliability of data-driven products. You will validate complex data transformations and collaborate with cross-functional teams to troubleshoot defects and improve quality gates.
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
We are looking for a QA Automation Engineer to ensure the accuracy, reliability, and performance of data-driven products within an analytics platform team. You will validate complex data transformations, API outputs, and backend workflows using SQL, Postman, and automation frameworks, working alongside Product Managers, Data Engineers, and Developers in an Agile environment. The role combines hands-on manual testing with growing automation development responsibilities across APIs and regression suites.
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
- 2–4 years of professional QA experience in manual and automation testing;
- Strong SQL skills (joins, DML/DDL, data validation, window functions, 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 (GitHub, 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 (basic scripting level);
- Experience with Snowflake or other cloud data warehouses;
- Familiarity with Apache NiFi, Amazon S3, or AWS Lambda;
- Experience testing Looker, Power BI, MicroStrategy, or similar BI tools;
- Backend automation experience (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.
Meet Our Recruitment Process
Application → Coding Challenge → Video Interview → Technical Interview or Hiring Manager Interview
Each step helps us understand your skills and overall fit.
If it’s a match, you’ll receive an offer.
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
We are looking for a QA Automation Engineer to ensure the accuracy, reliability, and performance of data-driven products within an analytics platform team. You will validate complex data transformations, API outputs, and backend workflows using SQL, Postman, and automation frameworks, working alongside Product Managers, Data Engineers, and Developers in an Agile environment. The role combines hands-on manual testing with growing automation development responsibilities across APIs and regression suites.
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
- 2–4 years of professional QA experience in manual and automation testing;
- Strong SQL skills (joins, DML/DDL, data validation, window functions, 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 (GitHub, 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 (basic scripting level);
- Experience with Snowflake or other cloud data warehouses;
- Familiarity with Apache NiFi, Amazon S3, or AWS Lambda;
- Experience testing Looker, Power BI, MicroStrategy, or similar BI tools;
- Backend automation experience (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.
Meet Our Recruitment Process
Application → Coding Challenge → Video Interview → Technical Interview or Hiring Manager Interview
Each step helps us understand your skills and overall fit.
If it’s a match, you’ll receive an offer.
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