Senior Data Engineer

Experience designing data workflows, feature pipelines, or infrastructure that specifically 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:

Strong expertise in SQL, distributed processing frameworks (e.g.

Spark), cloud data platforms, and high-scale compute systems using Python and/or Rust.

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.

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.