Senior Data Engineer
About The Position
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. 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 Healthcare Map serves as our foundation for a powerful suite of software applications, helping us answer healthcare’s most complex questions for our partners. We are helping our clients unlock critical insights to track detailed patient behaviors and treatment patterns, identify gaps in care, address unmet patient needs, and reduce the global burden of disease. We are looking for ambitious, supportive individuals with diverse backgrounds but a shared passion to deliver on our mission to reduce the burden of disease — and enjoy the journey along the way. Join Komodo Health's Data Foundations team and play a critical role in shaping the core data products that fuel our Healthcare Map. This role is essential for transforming massive, complex healthcare datasets into performant, trustworthy, and usable data assets that directly power both customer-facing applications and internal product innovation. By building and scaling our foundational data systems, you will directly enable the transparency and efficiency required to drive better health outcomes across the industry. 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. This is a hands-on engineering role focused on processing complex healthcare data at scale, improving reliability and performance, and contributing to the technical direction of core data systems.
Requirements
- 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.
- Strong instincts for data quality, reliability, root-cause analysis, and production troubleshooting.
- Ability to communicate technical trade-offs clearly and collaborate with engineering, product, and data partners.
- Comfort using AI-assisted engineering tools for productivity, debugging, documentation, and technical exploration.
Nice To Haves
- Experience delivering external-facing data products through customers, APIs, serving layers, or production access patterns.
- Ability to optimize high-scale data architectures for performance, cost, versioning, and large-volume productization.
- Experience applying AI or agentic workflows to engineering, data quality, delivery, or operations.
- Success in high-growth or ambiguous environments that require balancing architecture, speed, and quality.
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.
- Contribute to system design, architecture, code quality, testing, documentation, CI/CD, and rotational production support.
- Enable downstream analytics, product, and AI/ML use cases through high-quality, well-modeled, reliable data.
Benefits
- comprehensive health, dental, and vision insurance
- flexible time off and holidays
- 401(k) with company match
- disability insurance and life insurance
- leaves of absence in accordance with applicable state and local laws and regulations and company policy
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
