Data Quality Engineer - CCAR exp - Onsite - Pittsburgh, PA - Direct Client - JOBID719

We are looking for Data QA with hands-on SQL, data validation, reconciliation, and experience working with large datasets. They should have prior exposure to banking or financial services, ideally with knowledge of CCAR, risk, capital, or regulatory reporting data. In addition, they must bring solid automation testing experience (Selenium, API testing) along with core QA fundamentals. The ideal candidate can bridge data analysis and testing, ensuring data accuracy, compliance.

Key Responsibilities

• Perform data validation and reconciliation across large, complex datasets to ensure accuracy and completeness
• Validate risk, capital, and regulatory reporting data in alignment with CCAR requirements
• Develop and execute test strategies, test cases, and data quality checks for data pipelines and reporting systems
• Design and maintain automation frameworks for functional, API, and data testing
• Conduct ETL testing including source-to-target validation and transformation logic verification
• Collaborate with business, data, and risk teams to understand regulatory requirements and data flows
• Identify data anomalies, perform root cause analysis, and ensure timely resolution
• Support compliance-driven testing efforts in a highly regulated banking environment

Required Qualifications

• 5 years of experience in QA/Data Testing, with strong focus on data validation and analysis
• Hands-on experience with SQL (advanced querying, joins, aggregations, data comparison)
• Experience in banking or financial services, preferably in risk or regulatory domains
• Exposure to CCAR, stress testing, or regulatory reporting is highly preferred
• Strong experience with test automation tools such as Selenium and API testing frameworks (e.g., REST, Postman)
• Solid understanding of ETL processes, data warehousing, and data pipelines
• Strong analytical and problem-solving skills with attention to detail