Senior QA Engineer

abra · Wheaton, Illinois, United States

Internet Marketplace Platforms · 2-10 employees

10 h ago

Senior (5-10 yrs) Full-time United States

About the role

Execute end-to-end testing on complex data-driven systems and ETL processes while utilizing Generative AI tools to optimize workflows. Collaborate with the QA team, developers, and product managers to document bugs and deliver detailed test summary reports.

What they look for

End-to-end Testing ETL Testing Generative AI Tools SQL API Testing Postman Swagger Log Analysis Kibana Data Warehouse Testing English Proficiency Test Automation

Requirements

Requires at least 5 years of QA experience with a strong mastery of SQL and API testing tools like Postman. Candidates must have practical, daily experience using AI coding agents and experience with Data Warehouse environments.

Full description

abra professional services is seeking a Senior QA Engineer!

We are looking for an experienced software testing expert to integrate into an existing team, specializing in end-to-end testing of complex data-driven systems and ETL processes, utilizing advanced AI tools for testing and automation.

Key Responsibilities

Execute end-to-end testing on complex, data-driven systems and robust ETL processes.
Plan, design, and execute comprehensive test scenarios; perform web and API testing; analyze data and log discrepancies.
Investigate data layers and write complex SQL queries to ensure data integrity and system accuracy.
Leverage advanced Generative AI tools and autonomous coding agents to streamline testing workflows and assist in test automation.
Document, track, and report system bugs clearly while delivering detailed test summary reports ($TSR$).
Work closely within an established QA team, reporting directly to the QA Team Lead, while maintaining ongoing syncs with Developers, Product Managers, and Project Managers.

Requirements

Minimum of 5 years of proven experience in software quality assurance ($QA$).
Practical, day-to-day experience using advanced AI tools and coding agents (e.g., GitHub Copilot, Claude Code, or similar) for requirements analysis, test scenario generation, bug investigation, SQL generation, and optimizing QA workflows. Note: Continuous, practical use is required; basic familiarity is not sufficient.
Strong mastery of SQL, including writing complex queries, advanced $JOINs$, and aggregation functions.
Deep experience in API testing, with hands-on proficiency using Postman and Swagger.
Solid experience in log analysis and troubleshooting using Kibana or equivalent tools.
Extensive experience testing Data Warehouse ($DWH$) environments and complex $ETL$ processes.
High-level English proficiency (both written and verbal).