Qa Automation Engineer Id69196 (Monterrey)

AgileEngine is an Inc. **** 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.

We hope you want to grow, make an impact, and work with people who care.

ABOUT THE ROLE

QA Automation Engineer working on an analytics platform team – self‑directed in an Agile environment. Responsibilities include validating data transformations, API outputs, and performing both manual testing and developing automated regression suites.

WHAT YOU WILL DO

• Execute manual and automated tests of 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 and ambiguities 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
• Improve CI/CD test integration and quality gates
• Monitor recurring defects and report quality trends
• Assist in validating releases and confirming readiness for deployment

MUST HAVES

• 2–4 years professional QA experience (manual and automation)
• Strong SQL skills (joins, DML/DDL, window functions, data validation)
• Experience testing APIs with Postman, Insomnia, or similar
• Basic exposure to API automation frameworks or scripting
• Experience with Jira, TestRail, or similar QA management tools
• Understanding of CI/CD concepts and Git version control
• Analytical ability to analyze requirements and propose test scenarios and edge cases
• Understanding of QA processes, regression cycles, defect lifecycle

NICE TO HAVES

• Basic Python scripting knowledge
• Experience with Snowflake or other cloud data warehouses
• Familiarity with Apache NiFi, Amazon S3, or AWS Lambda
• Experience testing BI tools (Looker, Power BI, MicroStrategy, etc.)
• Backend automation experience (Python‑based frameworks)
• Understanding of data processing, ETL, or ingestion pipelines
• Prior exposure to healthcare, pharma, or analytics data

PERKS AND BENEFITS

• Professional growth support: mentorship, TechTalks, personalized growth roadmaps
• Competitive USD‑based compensation
• Opportunities to work on projects with Fortune 500 enterprises and top‑tier clients
• Flextime and remote‑work options for work‑life balance