Senior Data Engineer

We Breathe Life Into Data

At Komodo Health, our mission is to reduce the global burden of disease. And 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 Healthcare Map serves as our foundation for a powerful suite of software applications, helping us answer healthcare’s most complex questions for our partners. Across the healthcare ecosystem, we’re 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. 

As we pursue these goals, it remains essential to us that we stay grounded in our values: be awesome, seek growth, deliver “wow,” and enjoy the ride. At Komodo, you will be joining a team of ambitious, supportive Dragons 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.

The Opportunity at Komodo Health

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.

Mission

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.

Looking back on your first 12 months at Komodo Health, you will have…

• Architectural Advancement: Deliver high-impact technical initiatives that improve pipeline performance, scalability, and system efficiency.
• Platform Hardening: Improve the reliability, observability, and cost-efficiency of core Data Foundations systems.
• Healthcare Data Innovation: Develop deep domain expertise and contribute novel approaches to challenges such as patient journey mapping and identity resolution.
• Cross-Functional Delivery: Partner with Data Product and Engineering teams to ship scalable, production-grade data solutions.
• Partner on architecture: Raise the bar across the team through mentorship, design reviews, and engineering best practices.

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.
• 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.

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.
• 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.

AI-Augmented Engineering Expectations:

• You will be expected to leverage AI-augmented engineering tools, such as ChatGPT, Gemini, or Claude, to improve productivity and technical decision-making. This may include using AI to generate and refine code, accelerate documentation, automate test case creation, debug complex issues, explore unfamiliar technical concepts, and assess architectural trade-offs and risks.

Additional skills and experience we’d prioritize (nice to have)…

• 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.

Open to US remote, OR SF/NYC hybrid

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