Senior Data Engineer, Data Foundation— AI- Data Products ; Remote

Senior Data Engineer, Data Foundations & AI Platform

United States (Remote)

We Breathe Life Into Data

At Komodo Health, our mission is to reduce the global burden of disease. By combining real‑world patient data with innovative algorithms, we build the Healthcare Map – the industry’s largest, most complete view of the U.S. healthcare system. This foundation powers a suite of software applications that help partners track patient behaviors, identify gaps in care, and improve health outcomes.

The Opportunity at Komodo Health

Join our Data Foundations team and shape the core data products that fuel the Healthcare Map. This role transforms massive, complex healthcare datasets into trustworthy, high‑performing data assets that support customer‑facing applications and internal innovation.

The Senior Data Engineer designs, implements, and scales the foundational data systems and pipelines that power Komodo Health’s platform and analytics products. You’ll own the end‑to‑end data processing lifecycle—ingestion, modeling, and serving—at scale, using cloud infrastructure and distributed computing. Your work will also serve as the foundation for AI/ML and agentic applications across the company.

• Architectural Advancement: Deliver high‑impact initiatives that improve pipeline performance, scalability, and system efficiency.
• Platform Hardening: Enhance reliability, observability, and cost‑efficiency of core Data Foundations systems.
• Healthcare Data Innovation: Deepen domain expertise and contribute novel approaches to challenges such as patient journey mapping and identity resolution.
• Cross‑Functional Delivery: Collaborate 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.

• Design and implement high‑performance data processing and serving patterns across large‑scale healthcare datasets using Spark, Python, Rust, and SQL, supporting 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 use cases into scalable technical solutions.
• Drive engineering excellence in system design, code quality, testing, documentation, and CI/CD.
• Mentor engineers through design reviews, technical coaching, and architectural guidance.
• Enable AI/ML and agentic applications by delivering high‑quality, feature‑ready datasets and reliable serving layers for training, inference, and evaluation.

• AI & ML Enablement
  :
  Experience designing data workflows, feature pipelines, or infrastructure that supports AI/ML training, inference, experimentation, and monitoring.
• Data Product Engineering
  :
  Proven experience building large‑scale, production‑grade data products and analytical systems.
• Modern Data Systems
  :
  Expertise in SQL, distributed processing frameworks (e.g., Spark), cloud data platforms, and high‑scale compute systems using Python and/or Rust.
• Architecture & Systems Design
  :
  Demonstrated ability to design scalable data models and distributed system architectures.
• Analytical Rigor
  :
  Strong statistical and analytical skills; able to validate data quality and product outcomes through rigorous analysis.
• Technical Communication
  :
  Clear communicator who can explain technical decisions, trade‑offs, and risks to engineers, product partners, and leadership.

• Use AI‑Augmented Engineering tools (e.g., ChatGPT, Gemini, Claude) to improve productivity and accelerate system design, documentation, testing, debugging, and architectural decision‑making.

• Healthcare Data Experience
  :
  Direct experience with…