About the job
About Us
At Abacus Insights, we are revolutionizing the utilization of data for health plans. Our mission is straightforward: to make healthcare data accessible and actionable, empowering decision-makers to act swiftly and confidently. We dismantle data silos to establish a unified, reliable data foundation that enhances decision-making capabilities, ultimately leading to improved outcomes, minimized waste, and enriched experiences for both members and providers.
With a robust backing of $100 million from premier investors, we are addressing significant challenges in an industry poised for transformation. Our platform supports Generative AI use cases by providing clean, interconnected, and dependable healthcare data, facilitating automation, prioritization, and decision-making workflows—positioning us as industry leaders.
Our innovative spirit thrives on collaboration and curiosity; we believe that the most impactful ideas emerge from teamwork. Are you ready to make a difference? Join us in shaping the future.
About the Role
We are on the lookout for a Senior Data Quality Assurance Engineer to enhance and oversee data quality across our data platforms and client solutions. In this pivotal role, you will spearhead complex data validation initiatives, develop testing strategies, and serve as a trusted collaborator to Engineering, Product, and Operations teams. You will establish data quality standards, promote automation, and ensure the delivery of reliable, production-grade data solutions at scale.
Your Day to Day
- Lead the data quality strategy and execution across various projects and datasets.
- Collaborate with Engineering, Product, Operations, and Project Management to influence data design and quality outcomes early in the development lifecycle.
- Conduct advanced data analysis and validation on large-scale, client-specific, and healthcare datasets.
- Design, execute, and review intricate test plans and test cases, incorporating both automated and manual testing methodologies.
- Identify systemic data quality risks, conduct root-cause analyses, and collaborate with teams to implement resolutions.
- Define, refine, and document QA standards, best practices, and verification protocols.
- Mentor junior QA engineers, providing expertise in testing methodologies and data validation techniques.

