QA Automation Engineer

Eliassen Group; Cincinnati (OH); On-site; Confidential; Full time

Benefits offered by this job

Medical, Dental and Vision benefits

401k with company matching

Life insurance

Job summary

Eliassen Group is seeking a QA Automation Engineer to build and maintain automated testing across web, API, and data platforms in Cincinnati, OH. The role involves designing frameworks, validating data pipelines, and advancing AI-enabled quality capabilities to improve reliability and delivery speed.

This on-site position offers W2 or corp-to-corp arrangements, with a benefits package including medical/dental/vision, 401k with company match, and life insurance.

Qualifications

• Proficiency in Java, Python, and JavaScript for test automation.
• Strong SQL skills and experience with database interactions including Snowflake/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 VS 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.

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 and data quality checks in Snowflake/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.

Skills

Java

Python

JavaScript

SQL

API testing

Selenium

Appium

POM

WebdriverIO

Postman

ReadyAPI

VS Code

Git

Jenkins

ALM tools

Snowflake

Tools

Selenium

Appium

WebdriverIO

Postman

ReadyAPI

VS Code

Git

Jenkins

Digital.ai

qTest

Snowflake

Job description

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.

Experience Requirements:

• 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.