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QA engineer - Java automation and Data Validation - Onsite - Pittsburgh, PA - Contract to Hire
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Application
Details
Posted: 10-Jun-26
Location: Pittsburgh, Pennsylvania
Type: Temp to Full Time
Categories:
Information Technology
Internal Number: 733
Key Responsibilities
Design, develop, and maintain automated test frameworks and test scripts using Java and industry-standard automation tools.
Execute functional, regression, integration, and end-to-end testing for web and backend applications.
Perform comprehensive data validation and data reconciliation across databases, APIs, ETL processes, and downstream systems.
Create and execute SQL queries to validate data accuracy, completeness, and consistency.
Analyze business and technical requirements and develop detailed test plans, test cases, and test scenarios.
Identify, document, track, and verify defects through resolution.
Collaborate with development teams to troubleshoot issues and improve application quality.
Participate in Agile ceremonies including sprint planning, daily stand-ups, and retrospectives.
Ensure testing best practices, standards, and processes are followed throughout the software development lifecycle. Generate test execution reports and provide quality metrics to project stakeholders.
Required Qualifications
Bachelor's degree in Computer Science, Information Technology, or a related field.
5+ years of experience in Quality Assurance and Software Testing.
Strong hands-on experience with Java-based automation frameworks.
Experience with automation tools such as Selenium, TestNG, JUnit, or similar technologies.
Strong SQL skills with experience validating large datasets across relational databases.
Experience in data validation, ETL testing, data migration testing, and backend testing.
Knowledge of API testing using tools such as Postman, REST Assured, or similar.
Experience working with defect management tools such as Jira.
Strong analytical, problem-solving, and communication skills.
Experience working in Agile/Scrum environments.
Preferred Qualifications
Experience with CI/CD tools such as Jenkins, GitLab CI/CD, or Azure DevOps.
Knowledge of cloud platforms such as AWS, Azure, or Google Cloud.
Experience in Banking, Financial Services, Healthcare, or Retail domains.
Familiarity with data warehousing concepts and ETL tools.
Exposure to performance and load testing methodologies.
Data Validation: SQL, ETL Testing, Data Migration Testing, Data Reconciliation
API Testing: Postman, REST Assured
Version Control: Git
Defect Tracking: Jira
CI/CD: Jenkins, GitLab CI/CD, Azure DevOps
A proactive QA professional with a strong automation background, exceptional attention to detail, and expertise in validating complex data flows. The ideal candidate should be comfortable working in fast-paced Agile environments and possess the ability to ensure both application functionality and data integrity.