Principal Python QA Engineer (Test Automation, SQL, PyTest/ ETL)

Are you passionate about building scalable automation solutions that ensure the quality, accuracy, and integrity of enterprise data? Do you enjoy solving complex data validation challenges through code and creating frameworks that enable teams to test faster and smarter?, We are seeking a Principal Quality Assurance Engineer to lead the design and implementation of a modern test automation strategy focused on data quality, ETL validation, and large-scale data testing. This role is heavily focused on Python-based automation and is ideal for someone who enjoys building reusable solutions that improve testing efficiency, scalability, and coverage across complex data platforms.

This is not a traditional UI automation role. Approximately 90% of the work will be focused on validating data movement, data transformations, ETL processes, file-based integrations, database validation, and data quality controls. The ideal candidate will possess deep expertise in Python, automated testing, data analysis, and framework development.

As a Principal QA Engineer, you will serve as a technical leader, developing automation frameworks from the ground up, mentoring other QA engineers, and driving best practices across the organization. You will partner closely engineering, product, and business stakeholders, drive an automation-first culture, and deliver innovative and scalable quality engineering solutions.

Pytest, Python Programming/Scripting Language, Database Extract Transform and Load (ETL), Test Automation, Quality Assurance, Software Engineering, SQL (Structured Query Language), Scalable System Development, Enterprise Data Integration, Data Quality, * 8 years of experience in Quality Assurance, Test Automation, Software Development, or Quality Engineering.

• Expert-level Python programming skills with a proven track record of building automated testing solutions and reusable libraries.
• Extensive hands-on experience with PyTest and modern Python testing methodologies.
• Strong experience using Pandas and other Python data-processing libraries for data validation, reconciliation, transformation, and analysis.
• Extensive experience testing:
• ETL/ELT data pipelines
• Data migrations
• Data movement processes
• File-based integrations
• Data quality rules and controls
• Database-driven applications
• Strong expertise with database validation and data reconciliation techniques.
• Advanced SQL skills with experience validating large data sets across Snowflake, SQL Server, and Oracle platforms.
• Experience with Playwright for UI automation testing.
• Experience developing automated tests for complex data workflows and business-critical data processing systems.
• Strong communication, collaboration, and mentoring skills., * Bachelor’s or Master’s degree in Computer Science, Software Engineering, Information Systems, or a related field.
• Experience designing and developing automation frameworks from scratch.
• Experience creating scalable, reusable, and maintainable test automation architectures.
• Experience testing cloud-based applications and data platforms running in AWS and/or Azure.
• Experience integrating automated tests into CI/CD pipelines.
• Experience with GitHub, GitHub Actions, Jenkins, and Artifactory.

Please be advised that Fidelity’s business is governed by the provisions of the Securities Exchange Act of 1934, the Investment Advisers Act of 1940, the Investment Company Act of 1940, ERISA, numerous state laws governing securities, investment and retirement-related financial activities and the rules and regulations of numerous self-regulatory organizations, including FINRA, among others. Those laws and regulations may restrict Fidelity from hiring and/or associating with individuals with certain Criminal Histories.