QA Engineer(Automation & ETL) - Dallas, TX

Job Description

Job Summary: We are seeking a highly motivated and skilled Quality Engineer (QE) with a strong focus on test automation and extensive experience in ETL (Extract, Transform, Load) testing. The ideal candidate will play a critical role in ensuring the quality, reliability, and performance of our data pipelines, data warehouses, and applications. You will be responsible for designing, developing, and executing automated test strategies for complex data-driven systems, working closely with development, product, and data teams.

Responsibilities:

Test Strategy & Planning:

• Develop comprehensive test plans and strategies for data pipelines, data warehouses, and business intelligence solutions, with a strong emphasis on automation.
• Participate in requirements analysis and design reviews to ensure testability and quality attributes are considered early in the development lifecycle.
• Define and implement test data management strategies for various testing phases (unit, integration, system, regression, performance).

Automation Development & Execution:

• Design, develop, and maintain robust automated test scripts and frameworks using industry-standard tools and programming languages (e.g., Python, Java, SQL, PySpark, Selenium, Playwright).
• Implement and maintain CI/CD pipelines for automated testing, integrating tests into the development workflow.
• Execute automated test suites, analyze results, and report defects accurately and in a timely manner.
• Contribute to the continuous improvement of our automation framework and testing processes.

ETL Testing Expertise:

• Design and execute tests to validate data extraction, transformation, and loading processes, ensuring data accuracy, completeness, and consistency.
• Perform data reconciliation and validation between source and target systems, identifying data discrepancies and integrity issues.
• Develop and execute complex SQL queries for data validation, profiling, and comparison.
• Understand data models, schemas, and data flow to effectively test ETL processes.

Quality Assurance & Collaboration:

• Collaborate closely with software developers, data engineers, product managers, and business analysts to understand system functionalities and data requirements.
• Identify, document, and track software defects and work with development teams to ensure timely resolution.
• Proactively identify potential risks and issues related to data quality and system performance.
• Participate in root cause analysis of production issues and contribute to preventive measures.
• Promote a culture of quality throughout the development lifecycle.

Qualifications:

Education: Bachelor's degree in Computer Science, Engineering, or a related field.

Experience: 9+years of experience in Quality Engineering, with a strong focus on test automation.

Technical Skills (Must-Have):

• Proven experience in designing and implementing test automation frameworks and scripts.
• Proficiency in at least one programming language (e.g., Python, Java).
• Extensive experience with SQL for data validation, complex queries, and database testing.
• Solid understanding of ETL concepts, data warehousing principles, and data modeling.
• Experience with ETL testing tools and methodologies.
• Familiarity with version control systems (e.g., Git).
• Experience with test management tools (e.g., Jira, Azure DevOps, TestRail).

Compensation, Benefits and Duration

Minimum Compensation: USD 38,000
Maximum Compensation: USD 133,000
Compensation is based on actual experience and qualifications of the candidate. The above is a reasonable and a good faith estimate for the role.
Medical, vision, and dental benefits, 401k retirement plan, variable pay/incentives, paid time off, and paid holidays are available for full time employees.
This position is not available for independent contractors
No applications will be considered if received more than 120 days after the date of this post