Job Opportunities API

About Us Abacus Insights is transforming how data works for health plans. Our mission is simple: make healthcare data usable, so the people responsible for care and cost decisions can act faster, with confidence. We help health plans break down data silos to create a single, trusted data foundation. That foundation powers better decisions—so plans can improve outcomes, reduce waste, and deliver better experiences for members and providers alike. Backed by $100M from top investors, we’re tackling big challenges in an industry that’s ready for change. Our platform enables GenAI use cases by delivering clean, connected, and reliable healthcare data to support automation, prioritization, and decision workflows—and it’s why we are leading the way. Our innovation begins with people. We are bold, curious, and collaborative—because the best ideas come from working together. We embrace the thoughtful use of AI and automation to drive innovation and efficiency, and we look for individuals who are curious and adaptable—those excited to leverage emerging technologies to enhance how we work—while keeping human insight, connection, and our clients at the center of every decision. Ready to make an impact? Join us and let’s build the future together. About the Role   As a Data Quality Engineer at Abacus Insights, you will ensure the accuracy, reliability, and compliance of healthcare data powering our cloud ‑ native data management platform. This role requires specialized knowledge in data engineering, data quality frameworks, and healthcare data domains. You will design automated testing procedures, build data validation solutions, and collaborate with engineering and product teams to maintain high ‑ trust, high ‑ quality datasets for health plan clients. Your work directly supports regulatory and operational integrity across Abacus’s data ecosystem.   Your day to day   Design, develop, and maintain automated data quality validation frameworks, including rules engines, anomaly detection, and monitoring for completeness, conformity, integrity, and timeliness   Build and maintain automated test procedures for healthcare data ingestion, transformation, and downstream applications   Investigate data quality defects, analyze root causes, and drive remediation recommendations   Review and refine data quality strategies and contribute to standardized quality processes across pipelines   Collaborate with Engineering, Project Management, Operations, and Connector Engineering teams to translate business and compliance rules into technical test plans, functional specifications, and validation logic   Review software and data defect reports, highlight problem areas, and document reproducible issues   Develop and maintain QA automation scripts and dashboards using SQL, Python, Java, and cloud ‑ native tools   Participate in system verification protocol design and cross ‑ functional design meetings   Conduct data mining and profiling on client ‑ specific and healthcare datasets to identify quality risks and gaps   Produce documentation including test plans, validation criteria, rule catalogs, and QA runbooks   Support ongoing monitoring of data quality and respond to internal and external data inquiries   Ensure data security and quality processes align with PHI handling, HIPAA, SOC 2, and Abacus governance requirements   What you bring to the team Bachelor’s or Master’s degree in Computer Science, Information Systems, Data Analytics, or related technical field   3–5+ years of experience in Data Quality, Data Engineering, or QA roles in healthcare technology or payer/provider environments   Strong SQL expertise, including data manipulation, data