Komodo Health
Senior Data Platform Engineer
$170K–$230K
San Francisco, CA +1 · Senior · Full-time · Posted Oct 23, 2026
- Location
- San Francisco, CA
USA - Experience
- Strong hands-on experience is required; no specific number of years is stated.
About the job
Designs, builds, and operates scalable data pipelines and foundational systems that turn complex healthcare data into reliable products for customers, internal teams, and AI/ML use cases.
What you'll do
- Build, operate, and optimize large-scale batch pipelines and make storage and data-layout decisions for performance and cost efficiency.
- Ingest and transform healthcare data into trusted products, maintaining correctness through schema changes and data-quality controls.
- Improve reliability and observability, troubleshoot production issues, and contribute to system design, engineering practices, and production support.
What they ask for
- Hands-on experience building, owning, and debugging production data pipelines at multi-terabyte scale.
- Advanced Python and strong SQL; deep production experience operating and scaling Airflow.
- Understanding of physical data storage and open table formats, plus experience with Spark or a comparable distributed processing framework.
- Experience designing and operating data systems in AWS; strong data correctness and production troubleshooting skills.
Nice to have
- Docker and Kubernetes; data governance and lineage experience.
- Experience delivering external-facing data products or applying AI/agentic workflows to engineering, data quality, delivery, or operations.
Pay
$196,000 — $230,000 USD annual base pay; $170,000 — $200,000 USD annual base pay
Tools
Python, SQL, Spark, Airflow, AWS, Iceberg, Delta Lake, Hudi
AI focus
Use AI-assisted tools such as ChatGPT, Gemini, or Claude for coding, debugging, documentation, test creation, technical exploration, and architectural trade-off assessment; the posting also expects AI use in daily work.
Model-written summary · the original posting is authoritative