QA Engineer ID48833

AgileEngine, LLC.; Ciudad de México; Híbrido; MXN 516,000 - 775,000; Jornada completa

Descripción de la vacante

A leading software company in Mexico City is looking for a Middle/Senior Quality Assurance Automation Engineer. This role involves executing tests, validating data, and collaborating with teams to ensure product quality. Candidates should have 2-4 years of QA experience, strong SQL skills, and experience using API testing tools. The position offers perks like mentorship, competitive compensation, and a flexible work schedule.

Servicios

Professional growth mentorship

Competitive compensation

Exciting projects

Flexible schedule with remote options

Formación

• 2-4 years of professional QA experience in manual and automation testing.
• Strong SQL skills including joins, DML/DDL, data validation.
• Experience using API testing tools.

Responsabilidades

• Execute manual and automated tests across APIs and analytics outputs.
• Validate data transformations and business rules against requirements.
• Create and maintain test cases and execution reports.

Conocimientos

Manual and automation testing

SQL skills

Testing APIs

Jira/TestRail usage

CI/CD concepts

Herramientas

Postman

GitHub

Descripción del empleo

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, you’ll 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, you’ll 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

• 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;

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.