About UsAbacus 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 RoleAs a Senior Data Quality Engineer at Abacus Insights, you will own the accuracy, reliability, and compliance of healthcare data powering our cloud-native data management platform. This role requires deep expertise in data engineering, data quality architecture, and healthcare data domains. You will architect automated testing frameworks, lead data validation strategy, and partner with Engineering and Product leadership to maintain high-trust, high-quality datasets for health plan clients at scale. You will also mentor junior QA engineers and help shape the broader data quality practice across Abacus's data ecosystem, directly supporting regulatory and operational integrity.Your day to dayArchitect, build, and maintain enterprise-scale automated data quality validation frameworks, including rules engines, anomaly detection, and monitoring for completeness, conformity, integrity, and timelinessLead design and implementation of automated test strategies for complex healthcare data ingestion, transformation, and downstream application pipelinesDrive root cause analysis on high-impact data quality defects, own remediation strategy, and prevent recurrence through systemic process improvementsDefine and evolve data quality strategy, standards, and best practices across pipelines, influencing tooling and process decisions org-widePartner directly with Engineering, Product, Project Management, Operations, and Connector Engineering leadership to translate business and compliance requirements into technical test plans, functional specifications, and validation logicLead review of software and data defect reports, identify systemic problem areas, and establish standards for reproducible issue documentationDesign and maintain advanced QA automation frameworks and dashboards using SQL, Python, Java, and cloud-native toolingLead system verification protocol design and represent QA in cross-functional architecture and design discussionsConduct advanced data mining and profiling on client-specific and healthcare datasets to proactively surface quality risks at scaleOwn documentation strategy including test plans, validation criteria, rule catalogs, and QA runbooksMentor and provide technical guidance to junior and mid-level QA engineersServe as an escalation point for internal and external data quality inquiriesEnsure data security and quality processes align with PHI handling, HIPAA, SOC 2, and Abacus governance requirements, and help evolve governance standards as the platform scalesWhat you bring to the teamBachelor's or Master's degree in Computer Science, Information Systems, Data Analytics, or related technical field, or equivalent work experience.6–8+ years of experience in Data Quality Engineering and Data Engineering, with significant experience in healthcare technology or payer/provider environmentsExpert-level SQL skills, including complex data manipulation, validation, and profiling at scaleProven ability to lead data quality projects end-to-end.Deep experience working with healthcare data types such as enrollment, medical claims, pharmacy claims, provider data, or non-traditional health and wellness datasetsStrong hands-on automation scripting expertise in Python or Java, with a track record of building reusable frameworksProven experience with cloud computing environments such as AWS (S3, EC2, SSM, Athena) and Databricks in production-scale settingsDemonstrated experience designing data integration workflows, ETL/ELT pipelines, data mapping strategy, and enterprise QA testing protocolsTrack record of building and scaling automated QA applications, dashboards, or custom rule frameworks from the ground upProven ability to analyze complex, large-scale datasets, identify systemic quality issues, and drive actionable, measurable improvementsExperience mentoring engineers and influencing technical direction across teamsExcellent communication skills, with the ability to work cross-functionally, influence stakeholders, and operate independently with minimal oversightStrong organizational and prioritization skills in a fast-paced, multi-project environmentWhat we would like to see, but not requiredDeep exposure to Delta Lake, Spark, Airflow, dbt, or event-driven architecturesAdvanced knowledge of schema evolution management (Parquet, Avro, ORC, JSON)Experience leading data quality lifecycle management initiatives in large-scale cloud systemsFamiliarity with Terraform, DevOps pipelines, CI/CD workflows, Git-based version controlBackground in software debugging, system testing methodologies, or performance testing at an architectural levelCompensation: Compensation for this role is based on experience, skills, and location, and includes base salary plus eligibility for performance bonuses and equity grants.What you’ll get in returnUnlimited paid time off – recharge when you need itWork from anywhere – flexibility to fit your lifeComprehensive health coverage – multiple plan options to choose fromEquity for every employee – share in our successGrowth-focused environment – your development matters hereHome office setup allowance – one-time support to get you startedMonthly cell phone allowance – stay connected with easeOur Commitment as an Equal
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