Senior Data Engineer, Data Foundations

Komodo Health

18h • Hybrid

About The Position

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

Requirements

• Experience designing data workflows, feature pipelines, or infrastructure that specifically supports AI/ML training, inference, experimentation, and monitoring.
• Proven experience building large-scale, production-grade data products and analytical systems.
• Strong expertise in SQL, distributed processing frameworks (e.g. Spark), cloud data platforms, and high-scale compute systems using Python and/or Rust.
• Demonstrated ability to design scalable data models, platform components, and distributed system architectures.
• Strong statistical and analytical skills; able to validate data quality and product outcomes through rigorous analysis.
• Clear communicator who can explain technical decisions, trade-offs, and risks to engineers, product partners, and leadership.
• Expected to leverage AI-Augmented Engineering tools (such as ChatGPT, Gemini, or Claude) to significantly improve productivity. This includes using AI for generating and refining complex code snippets, accelerating documentation creation, automating test case generation, performing technical deep dives to understand new concepts, and rapidly assessing design trade-offs and risks in architectural planning.

Nice To Haves

• Direct experience with claims, clinical, RWE, provider, patient, or life sciences data, including familiarity with coding systems (ICD-10, CPT, NDC, NPI).
• Experience building and operating data products specifically designed for external consumption via customers, APIs, or serving layers.
• Proven experience in optimizing systems for performance, cost efficiency, versioning, and large-volume data productization.
• Experience applying AI/agentic workflows to engineering, data quality, or delivery processes.
• Experience successfully operating in high-growth or ambiguous environments where leaders must adeptly balance architecture, delivery speed, and quality.

Responsibilities

• Deliver high-impact technical initiatives that improve pipeline performance, scalability, and system efficiency.
• Improve the reliability, observability, and cost-efficiency of core Data Foundations systems.
• Develop deep domain expertise and contribute novel approaches to challenges such as patient journey mapping and identity resolution.
• Partner with Data Product and Engineering teams to ship scalable, production-grade data solutions.
• Raise the bar across the team through mentorship, design reviews, and engineering best practices.
• Design and implement high-performance data processing and serving patterns across large-scale healthcare datasets using Spark, Python, Rust, and SQL.
• 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.

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

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed
• Number of Employees: 251-500 employees