[Hiring] QA Engineer @AgileEngine

Role Description

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.

• 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

Qualifications

• 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

Requirements

• 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

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