Cedar operates a data-heavy healthcare fintech platform processing patient billing and payments at scale. The stack reveals a mature analytics infrastructure (Snowflake, Fivetran, dbt, Kafka, Airflow) built to handle high-volume transaction streams, while adopting dbt and cloud-native tooling across the board. Hiring skews heavily toward data roles (one-third of open positions) and senior engineers, reflecting both the complexity of legacy ETL migration and the engineering effort required to personalize financial journeys across 200+ healthcare and financial integrations.
Notable leadership hires: Tech Lead Manager
Cedar builds an AI-powered financial engagement platform for hospitals and healthcare systems, consolidating patient billing, payments, coverage navigation, and support into a single experience. The platform is powered by interactions across healthcare and financial partner ecosystems, enabling providers to reduce administrative overhead while helping patients understand and access available financial options. Operating in the 201–500 employee range across U.S. locations, Cedar's architecture ingests high volumes of transaction and patient data to drive real-time personalization and decision-making at the point of care.
Cedar's stack spans React and TypeScript for frontend, Django and Python for backend, and a modern data platform built on Snowflake, Fivetran, dbt, Kafka, and Apache Airflow for analytics and ETL. The company is actively adopting dbt and OpenMetadata for data governance.
Active projects include scaling the personalization engine, modernizing legacy ETL pipelines to cloud infrastructure, building a product-facing data platform, launching GenAI features, and optimizing data visualization and login flows for patients.
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