Description
At Komodo Health, our mission is to reduce the global burden of disease. We believe that smarter use of data is essential to this mission. That's why we built the Healthcare Map , the industry's largest, most complete, precise view of the U.S. healthcare system , by combining de-identified, real-world patient data with innovative algorithms and decades of clinical experience.
The Senior Data Engineer will design, build, operate, and improve large-scale data pipelines and foundational data products that power Komodo's Healthcare Map, analytics products, and downstream AI/ML-enabled use cases.
Key Responsibilities:
- Build, operate, and optimize large-scale production data pipelines using Python, SQL, Airflow, cloud infrastructure, and distributed processing frameworks.
- Transform massive healthcare claims, EHR, and reference datasets into trusted, performant Healthcare Map data products and serving-ready data assets.
- Strengthen pipeline reliability through data quality checks, validation, lineage, observability, monitoring, and alerting.
- Debug complex data, system, and performance issues across computationally intensive workflows.
- Partner with Data Product Quality, Product, Platform, and Engineering teams to translate healthcare data needs into scalable technical solutions.
What you bring to Komodo Health:
- Healthcare data experience across claims, clinical, RWE, provider, patient, or life sciences datasets, including coding systems such as ICD-10, CPT, NDC, or NPI.
- Strong hands-on experience building, operating, and debugging production-grade data pipelines at scale.
- Advanced Python and SQL skills, with experience in Airflow or similar workflow orchestration tools.
- Experience with Spark or comparable distributed data processing frameworks.
- Proven experience designing and operating data solutions in AWS.
The pay range for this role is: San Francisco Bay Area and New York City: $196,000-$230,000 USD All Other US Locations: $170,000-$200,000 USD