QA Engineer ID48833

hace 7 días

Mar del Plata, Buenos Aires, Argentina AgileEngine A tiempo completo
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;
- 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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