Senior Data QA Automation Engineer

Richmond National; Glen Allen (VA); On-site; USD 95,000 - 115,000; Full time

Job summary

Richmond National is seeking a QA Engineer (Data) to ensure the quality and reliability of Data products including databases, reports, data pipelines, and ML models. You will design, develop, and maintain automated tests, working closely with the Data team to drive test strategy and CI/CD integration.

The ideal candidate has 3–5+ years of QA experience in data environments, strong SQL skills, and proficiency in Python/Java/TypeScript for automation.

Qualifications

• Bachelor’s degree in Computer Science or a related field preferred.
• 3–5+ years of QA experience testing Data Products on AWS cloud environments.
• Strong data analysis skills using SQL, Excel, and similar tools.
• Solid understanding of Data QA methodologies, data validation, API and ETL/ELT testing best practices.
• Proficiency in scripting languages (Python, Java, TypeScript) for test automation.
• Experience with test automation frameworks and tools (Selenium, Cucumber, JUnit).
• Experience validating ML/AI models; familiar with AWS services like S3, Lambda, Glue.
• CI/CD concepts and tools; ability to work in a fast-paced environment.
• Excellent communication and collaboration skills.

Responsibilities

• Design, develop, and maintain automated test scripts, frameworks, and tools.
• Collaborate with development teams to identify automation opportunities and integrate tests into CI/CD.
• Execute automated tests, analyze results, and report defects with clear documentation.
• Create and maintain test plans, test cases, and test data to maximize coverage.
• Participate in code and requirements reviews to ensure quality from the outset.
• Support setup and maintenance of test environments and data.
• Perform regression testing and validate defect fixes across releases.
• Collaborate with stakeholders to ensure testing aligns with business objectives.

Skills

SQL

Excel

Data QA

API testing

ETL/ELT testing

Scripting languages

Python

Java

TypeScript

Test automation

Selenium

Cucumber

JUnit

Machine Learning tests

AWS Services

CI/CD

Education

Bachelor’s degree in Computer Science or related field

Tools

Selenium

Cucumber

JUnit

Job description

Richmond National is seeking a QA Engineer (Data) to ensure the quality and reliability of Data products including databases, reports, data pipelines, and ML models. You will design, develop, and maintain automated tests, working closely with the Data team to drive test strategy and CI/CD integration.

The ideal candidate has 3–5+ years of QA experience in data environments, strong SQL skills, and proficiency in Python/Java/TypeScript for automation.