<p><strong>Senior QA Automation Engineer (Contract – 12 Months, Potential Extension)</strong></p><p><strong>Location:</strong> Princeton, NJ (Preferred)</p><p><strong>Work Hours:</strong> 8 AM – 5 PM EST</p><p><strong>About the Role</strong></p><p>We are seeking an experienced <strong>Senior QA Automation Engineer</strong> to support automated testing efforts across data pipelines, analytics workflows, and cloud‑based data platforms. This role focuses heavily on SQL, Python, and Databricks, and will play a key part in ensuring high‑quality, reliable software delivery.</p><p><strong>Key Responsibilities</strong></p><ul><li>Design and develop automated tests for Databricks workflows and Python-based data processing.</li><li>Build and maintain test frameworks utilizing Python and SQL.</li><li>Integrate automated tests into CI/CD pipelines (experience with Harness is a plus).</li><li>Create, maintain, and execute test cases for both existing and new user stories.</li><li>Collaborate with cross-functional engineering and product teams to ensure full coverage and consistent, reliable release quality.</li><li>Support testing for the SonarQube rollout and reporting initiative.</li></ul>

<p><strong>Required Qualifications</strong></p><ul><li>10+ years of QA automation experience.</li><li>Strong proficiency in SQL and Python.</li><li>Hands-on experience working with Databricks workflows.</li></ul><p>•<strong>Preferred Qualifications (Nice to Have)</strong></p><ul><li>Experience with Harness and CI/CD best practices.</li><li>Experience with Azure.</li><li>Familiarity with SonarQube.</li></ul><p> <strong>Ideal Background</strong></p><p>Candidates should bring a deep background in QA automation within data engineering, analytics, or cloud-platform environments. The role requires someone</p>

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