QA Engineer
Allwyn Corp • Corporate Office - Herndon
Posted: June 24, 2026
Job Description
Job Overview:
We are seeking a QA Automation Engineer with expertise in test automation, performance testing, data validation, UI/UX testing, and data engineering pipeline testing. The ideal candidate will be responsible for developing automated test scripts, validating batch and real-time data pipelines, ensuring data quality and integrity across enterprise systems, and verifying the performance, reliability, and accuracy of applications, reports, and analytics solutions.
Responsibilities
Design, develop, execute, and maintain automated test scripts using Playwright.
Perform functional, regression, integration, UI/UX, end-to-end, and API testing.
Conduct performance and load testing using JMeter or similar tools.
Validate data engineering pipelines, ETL/ELT processes, data transformations, and data quality controls.
Perform real-time data validation and testing of streaming data pipelines to ensure accuracy, completeness, timeliness, and consistency of data.
Test and validate data integration workflows, data warehouses, and analytics platforms.
Validate Tableau dashboards, reports, visualizations, and underlying data sources.
Create test plans, test cases, and test scripts based on business and technical requirements.
Collaborate with Business Analysts, Developers, Data Engineers, and stakeholders to ensure solution quality.
Identify, document, prioritize, and track defects through resolution.
Support CI/CD processes and contribute to continuous testing initiatives.
Required Qualifications
9+ years of QA/Test Automation experience.
Strong hands-on experience with Playwright automation.
Experience with performance testing tools such as JMeter.
Experience testing data engineering pipelines, ETL/ELT processes, databases, data warehouses, and reporting solutions.
Experience validating real-time or streaming data pipelines and data quality controls.
Experience with Tableau testing, reporting validation, and data reconciliation.
Strong SQL, data analysis, and data validation skills.
Knowledge of UI/UX testing, API testing, and Agile development methodologies.
Excellent communication, analytical, and problem-solving abilities.
Additional Content
Job Overview:
We are seeking a QA Automation Engineer with expertise in test automation, performance testing, data validation, UI/UX testing, and data engineering pipeline testing. The ideal candidate will be responsible for developing automated test scripts, validating batch and real-time data pipelines, ensuring data quality and integrity across enterprise systems, and verifying the performance, reliability, and accuracy of applications, reports, and analytics solutions.
Responsibilities
Design, develop, execute, and maintain automated test scripts using Playwright.
Perform functional, regression, integration, UI/UX, end-to-end, and API testing.
Conduct performance and load testing using JMeter or similar tools.
Validate data engineering pipelines, ETL/ELT processes, data transformations, and data quality controls.
Perform real-time data validation and testing of streaming data pipelines to ensure accuracy, completeness, timeliness, and consistency of data.
Test and validate data integration workflows, data warehouses, and analytics platforms.
Validate Tableau dashboards, reports, visualizations, and underlying data sources.
Create test plans, test cases, and test scripts based on business and technical requirements.
Collaborate with Business Analysts, Developers, Data Engineers, and stakeholders to ensure solution quality.
Identify, document, prioritize, and track defects through resolution.
Support CI/CD processes and contribute to continuous testing initiatives.
Required Qualifications
9+ years of QA/Test Automation experience.
Strong hands-on experience with Playwright automation.
Experience with performance testing tools such as JMeter.
Experience testing data engineering pipelines, ETL/ELT processes, databases, data warehouses, and reporting solutions.
Experience validating real-time or streaming data pipelines and data quality controls.
Experience with Tableau testing, reporting validation, and data reconciliation.
Strong SQL, data analysis, and data validation skills.
Knowledge of UI/UX testing, API testing, and Agile development methodologies.
Excellent communication, analytical, and problem-solving abilities.