Test Engineer
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Requirements
• 1–3 years of experience in test engineering, QA, data analysis, or a related technical role (internship experience counts) • Strong analytical and data review skills — comfortable working through large datasets methodically and accurately • Python proficiency for data processing, test scripting, and automation tasks • BS in Computer Science, Computer Engineering, Electrical Engineering, or a related technical field • Must be based in or willing to work on-site in Pittsburgh (lab access required) • Experience with log analysis, telemetry, or sensor data review • Familiarity with CI/CD pipelines (GitHub Actions, Jenkins) or test pipeline integration • Exposure to computer vision, image processing, or ML model output validation • SQL or database querying experience for data extraction and validation
Responsibilities
• Manually analyze large transaction datasets (100+ records) to extract ground truth, identify anomalies, mismatches, and edge cases, and validate system outputs against expected behavior • Build and maintain regression test infrastructure, integrating new edge cases sourced from field deployments into the existing test suite • Participate in integrated system tests in the Pittsburgh lab alongside systems engineers, executing test procedures and documenting results • Perform first-level root cause analysis (RCA) on test failures and route issues clearly to the appropriate engineering owners • Develop structured processes for collecting and cataloging field edge cases into repeatable test cases • Contribute to continuous improvement of the test and validation pipeline through clear documentation, reporting, and collaboration with engineering leads