Test Automation / SDET / Python / Pytest

Overview In this role you will design and build scalable automation solutions that improve data quality, reliability, and efficiency across critical systems. You will work within a highly technical, data-driven environment to advance automation initiatives and collaborate with seasoned engineers. The focus is on developing automated test frameworks, validating ETL processes, and ensuring robust data integrity in financial systems. This is a hybrid, Boston-based position that offers meaningful impact through quality engineering and end-to-end testing. You will shape testing strategy and integrate automation with development workflows to support mission-critical analytics. Compensation / BenefitsMedical InsuranceDental & OrthodontiaVision Benefits401(k) including matchPaid Sick TimePre-tax Commuter Benefit ResponsibilitiesDesign, build and maintain automated test frameworks and solutionsDevelop and optimize automation for data quality and reliability across critical systemsPerform ETL testing and validate data accuracy in data pipelinesValidate PostgreSQL/database content and integrity through automated testsIntegrate automation with CI/CD pipelines and version control workflowsCollaborate with cross-functional teams to enforce quality engineering best practicesContribute to test strategy and continuous improvement initiatives Key requirementsStrong experience with Python and Pytest for automationExperience designing and maintaining automated test frameworksETL testing and data quality validation experienceProficiency with PostgreSQL and database testingExperience in Windows environmentsUnderstanding of Agile/Scrum methodologiesSolid knowledge of software testing principles and quality engineering practicesTeam collaborationAdaptabilityProblem solvingPythonPytestETL testing