Senior Data QA Engineer

• Lead data quality strategy and execution across multiple projects and datasets. - Partner closely with Engineering, Product, Operations, and Project Management to influence data design and quality outcomes early in the lifecycle. - Perform advanced data analysis and validation on large‑scale, client‑specific and healthcare datasets. - Design, execute, and review complex test plans and test cases, including automated and manual testing approaches. - Identify systemic data quality risks, drive root‑cause analysis, and partner with teams through resolution. - Define, refine, and document QA standards, best practices, and verification protocols. - Mentor junior QA engineers and provide guidance on testing methodologies and data validation techniques. - Contribute to continuous improvement of QA processes, tooling, and workflows. What You Bring to the Team

• Bachelor’s degree in Computer Science, Health Science, or a related field (or equivalent practical experience). - 5+ years of experience in data quality, data QA, or testing roles within data‑driven environments; healthcare experience strongly preferred. - Advanced SQL skills with the ability to validate, troubleshoot, and reason about complex datasets. - Strong understanding of data pipelines, integrations, and large‑scale data systems. - Experience working with healthcare data domains such as enrollment, claims, and provider data. - Demonstrated ability to lead QA efforts, influence cross‑functional teams, and operate with a high degree of ownership. - Excellent analytical, problem‑solving, and prioritization skills in fast‑moving environments. - Strong communication skills, with the ability to explain data quality issues and risks to both technical and non‑technical stakeholders. - Deep understanding of QA methodologies, testing frameworks, and best practices. What you’ll get in return

• Competitive Leave & Benefits

• Comprehensive health coverage

• Equity for every employee – share in our success

• Growth-focused environment – your development matters here

Work arrangements

• Standard hours: 9 hours/day, 5 days/week
• Location: Pune, Hybrid (3 days a week in office)
• Shift: Your standard working hours will be nine (9) hours per day within the Company’s standard working hours. Specific working hours may vary based on business needs. Therefore, we dedicate resources to building diverse teams and providing equal employment opportunities to all applicants. Abacus prohibits discrimination and harassment regarding race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. At the heart of who we are is a commitment to continuously and intentionally building an inclusive culture—one that empowers every team member across the globe to do their best work and bring their authentic selves. We carry that same commitment into our hiring process, aiming to create an interview experience where you feel comfortable and confident showcasing your strengths. If there’s anything we can do to support that—big or small—please let us know.