Quality Assurance Automation Engineer

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.

2\u20134 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.

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. ", "employmentType": "FULL_TIME"

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