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. Overview 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. Responsibilities 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. #J-18808-Ljbffr
