Descripción de la oferta
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.
ABOUT THE ROLE
We are looking for a QA Engineer to ensure the accuracy, reliability, and performance of data‑driven analytics products by validating complex data transformations, API outputs, and backend workflows. You will write SQL queries for data validation, create and execute test cases using Jira and TestRail, and collaborate closely with Product Managers, Data Engineers, and Developers in an Agile environment. The role combines hands‑on manual testing with growing automation responsibilities and contributions to CI/CD quality gates.
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.
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.
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