Staff 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: 

Team: Data Foundations owns the core data products that power Komodo’s Healthcare Map. We design and deliver the foundational data assets, models, and serving capabilities that make healthcare data usable, performant, and trustworthy for customers and internal product teams. Our work reaches customers directly and also powers consuming applications through APIs, analytics layers, and other data delivery surfaces.

Mission:This role exists to architect and deliver the foundational data products and serving capabilities that turn complex healthcare data into trusted, production-ready assets for customers and applications. As a Staff-level IC, you will set technical direction across data modeling, productization, analytics enablement, and scalable delivery patterns, partnering with Product, Data Science, and consuming application teams to make Healthcare Map data usable at enterprise scale.

Komodo Health leverages the latest engineering technology to tackle healthcare’s biggest challenges by transforming extraordinary amounts of data into meaningful insights. As a Staff Data Engineer, you will drive the development of state-of-the-art foundational products that unlock the potential of our Healthcare Map, fostering a culture of technical excellence and transparency across the organization.

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

• Architectural Advancement: Managed and delivered high-impact projects that introduced new technical and data services to market, significantly improving pipeline performance.
• Innovation in Healthcare Data: Developed a deep understanding of domain-specific challenges and introduced innovative algorithms that address complex patient journey mapping.
• Collaborative Roadmap Delivery: Partnered across Data Product and Engineering to define technical requirements and deliver scalable, production-grade solutions that meet business needs.
• Platform Hardening: Built and hardened core Data Foundations components, measurable through improved reliability, observability, and cost-efficiency of our Healthcare Map products.
• Technical Multiplication: Mentored and up-leveled the engineering team, raising the bar for code quality and system design through coaching and rigorous design reviews.

These are the essential job duties you will be responsible for…

• Data Product Development & Delivery: Architect, build, and deliver scalable Healthcare Map data products that power direct customer use cases, APIs, analytics surfaces, serving layers, and internal applications.
• Scalable Data Systems: Design and implement high-performance data processing and serving patterns across large-scale healthcare datasets, using the right tools for the problem across SQL, Python, Spark, Rust, C++, and emerging AI-enabled engineering workflows.
• Foundational Data Models: Create shared data models, productized datasets, reusable libraries, and technical standards that become the foundation for downstream product, analytics, and application teams.
• Serving & Consumption Enablement: Build data products that are easy to consume through APIs, serving layers, exports, analytics environments, and customer-facing delivery mechanisms.
• Cross-Functional Product Delivery: <