QA Automation Engineer
Job in
Cincinnati, Hamilton County, Ohio, 45208, USA
Listed on 2026-09-12
Listing for:
Eliassen Group
Full Time
position Listed on 2026-09-12
Job specializations:
-
IT/Tech
IT QA Tester / Automation -
Quality Assurance - QA/QC
IT QA Tester / Automation, AI QA / Validation Engineer
Job Description & How to Apply Below
Description:
On-site in Cincinnati, OH
Our client seeks a QA Automation Engineer to build and maintain automated testing solutions across web, API, and data platforms. The role will design frameworks, validate data pipelines, and advance AI-enabled quality capabilities to improve reliability and delivery speed.
We can facilitate w2 and corp-to-corp consultants. For our w2 consultants, we offer a great benefits package that includes Medical, Dental, and Vision benefits, 401k with company matching, and life insurance.
Rate: $60.00 to $65.00/hr. w2
Responsibilities:- Design, implement, and maintain automated test frameworks using Selenium, Appium, WebdriverIO, and related tools.
- Develop API test suites leveraging Postman and ReadyAPI with robust validation and reporting.
- Create data validation tests for ETL and data extract processes, including count reconciliation, field mapping, and data quality checks in Snowflake and DB2.
- Integrate automated tests within CI/CD pipelines using Git and Jenkins.
- Employ POM and data-driven patterns to create reusable, maintainable test components.
- Leverage AI capabilities for self-healing locators, failure analysis, visual validation, and chatbot-driven test execution.
- Collaborate with engineering and product teams to define test strategies and acceptance criteria.
- Document results and defects in ALM tools such as Digital.ai or qTest and drive resolution.
- Proficiency in Java, Python, and JavaScript for test automation.
- Strong SQL skills and experience with database interactions, including Snowflake and DB2.
- Hands-on experience with API testing methodologies and tools.
- Expertise with Selenium, Appium, POM, and data-driven frameworks.
- Experience with WebdriverIO, Postman, ReadyAPI, and Visual Studio Code.
- Familiarity with Git for version control and Jenkins for CI/CD.
- Experience with ALM tools such as Digital.ai or qTest.
- Background in data modernization and data extract testing, especially with Snowflake.
- Practical use of AI for self-healing locators, failure analysis, visual validation, and chatbot-based execution.
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