Senior Data Engineer — Remote AI Platform & Data Foundations

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 be responsible for designing, implementing, and scaling the foundational data systems and pipelines that power Komodo Health’s platform and analytics products. This role owns the end-to-end data processing lifecycle—from ingestion and modeling to serving—on a massive scale, utilizing cloud infrastructure and advanced distributed computing techniques. This platform also serves as the foundation for AI/ML and agentic applications across Komodo Health.

You will set technical direction, ensure data quality, and be a technical leader in tackling the most complex data problems in healthcare.

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.
• Technical Leadership: Raise the bar across the team through mentorship, design reviews, and engineering best practices.

Key Responsibilities

• Design and implement high-performance data processing and serving patterns across large-scale healthcare datasets using Spark, Python, Rust, and SQL, supporting both analytics and AI/ML workloads.
• Lead complex cross-functional initiatives, balancing trade-offs across scalability, reliability, performance, cost, and delivery speed.
• Build and maintain robust data quality, validation, observability, lineage, monitoring, and alerting frameworks.
• Architect scalable Healthcare Map data products that power APIs, analytics, internal tooling, and customer-facing applications.
• Partner with Product, Data Science, and Platform teams to translate healthcare use cases into scalable technical solutions.
• Drive engineering excellence across system design, code quality, testing, documentation, and CI/CD practices.
• Mentor engineers through design reviews, technical coaching, and architectural guidance.
• Enable AI/ML and agentic applications by delivering high-quality, feature-ready datasets, curated data products, and reliable serving layers for training, inference, and…