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 The Director, Client Data Engineering is a pivotal leader within our TechOps / Technical Implementation organization, responsible for leading a globally distributed team of data engineering professionals. This role sits at the intersection of client delivery, technical execution, and people leadership, with a primary focus on driving successful client implementations and scaling high‑quality data engineering practices. This is a hands‑on leadership role that combines technical depth with operational excellence. The director will guide feature delivery teams, partner closely with cross‑functional stakeholders, and ensure reliable execution across complex healthcare data use cases, including ETL workflows, data mapping, and clinical data integration. Your day to day - Lead Client Implementations: Oversee the end‑to‑end implementation of new clients, ensuring delivery is timely, high quality, and aligned to client expectations. - Guide Data Engineering Execution: Provide technical leadership across ETL, data mapping, and data integration workflows, ensuring best practices and consistency. - Optimize Interoperability Workflows: Partner with stakeholders to refine and improve CMS Interoperability and related implementation processes. - Manage Global Teams: Collaborate closely with offshore and distributed teams to coordinate delivery, align priorities, and maintain operational rigor. - Coach and Develop Talent: Mentor engineers and new hires, fostering a collaborative, performance‑driven team culture. - Own Operational Execution: Support day‑to‑day delivery management, resource planning, and prioritization in partnership with delivery and product teams. - Set and Track Performance Metrics: Establish clear success measures for the team; monitor progress and drive continuous improvement. - Encourage Innovation: Promote thoughtful adoption of new tools, technologies, and approaches that improve scalability, quality, and efficiency. What you bring to the team - Data Engineering Experience: Minimum 7 years of experience in data engineering roles, including client‑facing implementations. - Technical Leadership: Demonstrated experience leading and mentoring technical teams. - ETL & Data Integration Expertise: Strong hands‑on experience designing and supporting ETL workflows and complex data integrations. - Healthcare Domain Knowledge: Working knowledge of healthcare data environments and standards; experience handling clinical or claims‑related data. - Programming & Analytics Skills: Proficiency with Python and PySpark for data processing and transformation. - Advanced SQL: Strong ability to write, optimize, and manage complex queries across large datasets. - Cloud & Data Platforms: Experience working with AWS‑based architectures; familiarity with Databricks and Snowflake. - Version Control & Collaboration: Practical experience using GitHub or GitLab for code management and collaboration. - Communication & Problem‑Solving: Clear communicator with a data‑driven approach to solving complex technical and operational challenges. - Education: Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field. What we would like to see, but not required - Prior experience supporting healthcare analytics, payer systems, or healthcare operations. - Exposure to machine learning concepts or data science workflows. - Familiarity with data visualization tools such as Tableau or Power BI. - Experience applying DevOps or CI/CD practices in data engineering environments. 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. Our Commitment as an Equal Opportunity Employer As a mission-led technology company helping to drive better healthcare outcomes, Abacus Insights believes that the best innovation and value we can bring to our customers comes from diverse ideas, thoughts, experiences, and perspectives. 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. AI Use in Recruitment We use AI-powered tools throughout our recruitment process. This includes Greenhouse's Real Talent Matching Technology, which helps prioritize applications based on job-related criteria, as well as additional AI tools used to support sourcing, interview preparation, and other recruiting tasks. We do not remove the human element—our recruiters and hiring teams review all applications and make all decisions related to candidate progression and hiring, regardless of which tools are used to support that process. By applying, you acknowledge that we will collect and process your personal information for recruiting purposes in accordance with applicable data protection laws. Please review our Applicant Privacy Notice for more information, including your rights.

Director, Client Data Engineering

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