QA Testing Analyst: IV (Lead)

Insight Global; Columbus (OH); On-site; USD 110,000 - 140,000; Full time

Job summary

Huntington Bank is seeking a QA Test Automation Lead for its Data Lake and Data Warehouse team in Columbus, OH. You will develop automation strategies, frameworks, and CI/CD pipelines, working across Azure DevOps, Python, and cloud data platforms to ensure quality data operations and regulatory alignment.

The role requires 5+ years ETL testing in a data warehouse, 3+ years test automation, and 2+ years leading QA analysts, with strong SQL and data quality focus.

Qualifications

• Bachelor’s degree
• 5+ years ETL testing experience in data warehouse environment
• 3+ years test automation experience
• 2+ years of experience with Snowflake and AWS
• 2+ years of experience leading QA Analysts on a project team

Responsibilities

• Lead QA efforts for multiple data ingestion and integration projects ensuring regulatory alignment.
• Design, implement, and maintain automated testing frameworks and CI/CD pipelines.
• Develop and execute SIT and support UAT with the team.
• Collaborate with data engineers, developers, PMs and compliance to ensure data quality and traceability.
• Drive QA process improvements and scalable test automation strategies.
• Provide test metrics and defect resolution guidance throughout the project lifecycle.

Skills

ETL testing

Data warehouse concepts

Test automation

SQL

Data quality

Education

Bachelor's degree

Tools

Snowflake

AWS

Selenium

Cucumber

PyTest

DBT tests

Azure DevOps

Job description

Job Description

Huntington Bank is looking for a QA Test Automation Lead in our Data Lake and Data Warehouse team. In this role you will be part of a team working to develop solutions enabling the business to leverage data as an asset at the bank. As a QA Test Automation Lead, you will work to develop automation test strategies and frameworks ensuring all IT SDLC processes are documented and practiced, working closely with multiple technologies teams across the enterprise. Key technologies include Azure DevOps, Python, AWS S3, Snowflake, Zena, and DataStage.

If you consider data as a strategic asset, evangelize the value of good data and insights, have a passion for learning and continuous improvement, this role is for you.

Key Responsibilities

• Lead quality assurance efforts for multiple concurrent projects focused on data ingestion and integration, ensuring alignment with banking regulatory standards.
• Design, implement, and maintain automated testing frameworks and CI/CD pipelines to support scalable and secure data operations.
• Develop and execute comprehensive test strategies covering System Integration Testing (SIT) and closely partner with the team for User Acceptance Testing (UAT).
• Collaborate with data engineers, developers, project managers, and compliance teams to ensure data quality, integrity, and traceability throughout the ingestion lifecycle.
• Drive continuous improvement in QA processes.
• Design and implement a scalable test automation framework and strategy.
• Create daily/weekly test execution metrics and status reporting.
• Assist the Project Managers/Scrum Masters to drive project team to defect resolution.
• Leverage existing tools/techniques to streamline and automate wherever possible.
• Actively participate in walk-through, inspection, review and user group meetings for quality assurance.
• Actively participate in the review of project requirements, data mappings and technical design specifications.
• Analyze data, troubleshoot data issues, and create action plans to address data quality issues.
• Collaborate with project team on defect analysis and triage.
• Participate in production implementation verification and be accountable for validating system quality.

Skills and Requirements

Basic Qualifications

• Bachelor’s degree
• 5+ years of ETL testing experience in data warehouse environment
• 3+ years of test automation experience
• 2+ years of experience with Snowflake and AWS
• 2+ years of experience leading QA Analysts on a project team

Preferred Qualifications

• Experience in financial services (banking) industry.
• Strong experience with SQL, ETL testing, and data warehouse concepts (e.g., star/snowflake schema, OLAP)
• Proficiency in test automation tools such as Cucumber, Selenium, PyTest, or DBT tests.
• Experience with cloud data platforms (Snowflake, AWS).
• Familiarity with CI/CD tools (Azure DevOps).
• Excellent verbal and written communications skills.
• Ability to effectively prioritize and execute tasks.
• Detail oriented and highly motivated with strong organizational, analytical and problem-solving skills.

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to [e-mail]. To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.