QA Engineer ID48833

AgileEngine

Monterrey

Presencial

MXN 686.577 - 1.029.866

Jornada completa

14 días+

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Ventajas ofrecidas por este puesto de trabajo

Professional growth opportunities
Competitive compensation
Flexible schedule

Descripción de la vacante

A leading software development company is seeking a Data QA Engineer in Monterrey, Nuevo León. The ideal candidate should have 2–4 years of QA experience, particularly in SQL-focused roles. You will work with engineering teams to ensure the accuracy of data systems through testing APIs and backend processes. The company offers competitive compensation, professional growth opportunities, and a flexible working schedule. This is a chance to make a significant impact in a dynamic and supportive environment.

Formación

  • 2–4 years of professional QA experience in manual and automation testing.
  • Strong SQL skills for data validation.
  • Experience testing APIs with tools like Postman.

Responsabilidades

  • Execute manual and automated tests across APIs and backend pipelines.
  • Validate data transformations and business rules.
  • Write SQL queries to confirm data accuracy.

Conocimientos

SQL skills
API testing
Analytical skills

Herramientas

Jira
TestRail
Postman
Snowflake

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

We are looking for a Data QA Engineer with a strong SQL focus to ensure the accuracy, reliability, and trustworthiness of data-driven systems and analytics products. This role is central to validating business logic, data transformations, and critical reporting pipelines that inform real decisions, while working closely with engineering and data teams. The opportunity stands out for its deep impact on data quality, strong ownership, and growth within a collaborative, automation-oriented 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 (joins, DML/DDL, data validation, window functions, logic validation);
  • Experience testing APIs manually (Postman, Insomnia, or similar);
  • 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
NICE TO HAVES
  • Python knowledge (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 (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

It includes main stages: Application → Coding Challenge → Video Interview → Technical Interview or Interview with the Hiring Manager(s). Each step helps us understand your skills and overall fit. If it’s a match, you’ll receive an offer.

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