Quality Engineer

Kforce has a client that is seeking a Quality Engineer in Cincinnati, OH. Responsibilities:

• Quality Engineer will perform UI Testing for functional and technical flow
• Perform API/Event based testing for inbound and outbound data
• Participate in all business discussions, ask appropriate questions on usage, and document the test cases
• Perform testing on source to destination one on one mapping at data ingestion to raw layer
• Perform testing on transformation rules and data curation from landing zone to transformation layers
• Perform testing to make sure shared layer data is as per consumer requirements/test cases met 100% and aligned with data strategy principles
• As a Quality Engineer, you will perform SLA testing for both inbound and outbound data
• Building and maintaining automated test cases
• Strong QA Engineering background (5-7+ years) background with emphasis on UI testing and Data testing for functional/technical coverages
• Strong QA Engineering automation frameworks for both UI and Data
• Proven experience with end-to-end integration and regression testing for complex, distributed systems
• Hands-on experience with ETL pipelines, file transfer processes, and data ingestion frameworks
• Experience with CI/CD pipelines and integrating automated tests into release workflows (GitHub Actions, etc.)
• Expertise in SQL for data validation, writing queries, and verifying transformations across raw, curated, and shared layers
• Solid knowledge of automation frameworks (e.g., Selenium, TestNG, JUnit, PyTest, or similar) and scripting languages (Python, Java, etc.) to build/maintain automated test cases
• Familiarity with on-prem platforms and data pipeline orchestration tools (e.g., Airflow, Informatica, or equivalent) a plus
• Understanding of performance and SLA testing for data pipelines and APIs
• Strong problem-solving skills and ability to work across business, product, and engineering teams
• Excellent communication skills to engage with stakeholders, document test strategies, and articulate issues clearly
• Ability to analyze transformation rules, data mappings, and business rules, and translate them into comprehensive test cases