Senior Data Engineer

Senior Data Engineer (Claims) Job type: Full Time · Department: EPD · Work type: Hybrid · USD 180,000-200,000 / year New York, New York, United States *This position requires current authorization to work in the United States. Unfortunately, we are not in a position to sponsor work visas at this time. Alaffia & Our Mission Every year, U.S. health plans lose billions to improper payments and administrative waste. That wasted spending ultimately trickles down across the healthcare ecosystem, driving up costs for plans, providers, and patients alike. We’re here to change that paradigm. Alaffia is a new kind of claims operations partner for health plans. Using expert clinicians and transparent AI, we deliver deeper insights, smarter automation, and consistently better outcomes across the entire lifecycle of claims. With Alaffia, health plans can cut wasted spending more effectively than ever — and provide their members the most affordable care. We’re a high-growth, venture-backed Series B healthtech startup based in NYC and are actively scaling our company. Join us in helping to build a healthcare system that works better for everyone. About the Role & What You’ll Be Doing Alaffia Health is a healthcare AI startup revolutionizing medical billing, analytics, and data Alaffia Health is a healthcare AI startup revolutionizing medical billing and data automation. Our AI‑driven platform leverages state‑of‑the‑art generative AI and machine‑learning technologies to enhance accuracy, efficiency, and compliance in medical billing and auditing. As we scale, we are seeking a Senior Data Engineer to build the cutting‑edge AI products, drive innovation, and shape the future of healthcare automation. At Alaffia Health, we are looking for an experienced data engineer who is passionate about building modern applications and scalable systems. Our platform leverages cutting‑edge technologies to revolutionize healthcare claims payment adjudication and audit workflows. We seek someone who thrives on solving complex data challenges, leveraging AI agents at scale while ensuring security considerations are an uncompromisable requirement in all solutions. In this role, you’ll be building the future of healthcare automation while tackling challenging problems in data management, system integration, security and cloud infrastructure. Your Responsibilities Ensure all internal and external reports are delivered on‑time and with accuracy , including scheduled client deliverables and internal operational dashboards. Work closely with stakeholders to produce detailed reporting requirements, documentation, and SOPs , ensuring clarity on metric definitions and data lineage. Execute, maintain, and progressively automate manual reporting tasks , using SQL, scripting, and BI tooling to reduce operational burden. Own and enhance report‑focused apps in Retool , including building new views, improving UX, and integrating with underlying data sources. Partner with data engineering to design and improve ETL/ELT workflows and data models that support scalable, performant reporting. Perform data investigations and root‑cause analyses when report discrepancies, anomalies, or data quality issues occur, and drive resolution. Act as a subject matter expert on healthcare claims reporting , helping internal and external stakeholders interpret trends, metrics, and exceptions. Requirements for the Role Required experience: 5–10+ years in data engineering, with at least 3–5 years handling healthcare data, particularly: Payer claims, eligibility/membership, provider files, and remittances (e.g., EDI 837/835). Understanding of payer concepts: benefit structures, adjudication logic, denials, and pricing. Statistics & Data Analytics: Deep understanding of statistical modeling, data analytics. Data Engineering: Proficiency in data cleaning, preparation, data schema design, versioning and database management. Strong SQL and data modeling: Expert‑level SQL plus dimensional and data‑vault style modeling for analytics and downstream apps. Experience building semantic layers and standardized metrics for claims and cost/utilization reporting. Modern data engineering tools: Proven work with dbt or similar transformation frameworks, and orchestration tools like Airflow, Dagster, or Prefect for batch/stream pipelines. Programming and integration: Strong Python for ETL/ELT, APIs, and data quality checks; plus familiarity with REST/JSON, FHIR, and EDI‑style feeds where relevant. Building SaaS applications in the healthcare sector or other highly regulated industries. Preferred experience: Machine learning and deep learning concepts. Cloud warehouses and lakehouses such as Snowflake, BigQuery, Redshift, or Delta Lake; comfort with performance tuning and cost management. Experience with DevOps and cloud providers, such as AWS, Azure, and GCP. Autonomous learning, self‑leadership, and the ability to own system components while collaborating with other SME’s. Exceptional problem‑solving skills and the ability to work in a fast‑paced, evolving environment. Excellent communication and collaboration skills, with the ability to articulate complex technical concepts to non‑technical stakeholders. Our Culture Alaffia was born out of our founders’ personal connection to the inefficiency of the U.S. healthcare system. We are deeply mission‑driven, with an abiding belief that technology can help create a better future for everyone —and we’re looking for others who share our passion for change to join the team. #J-18808-Ljbffr