Senior Data Platform 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. Thats why we built the Healthcare Map the industrys 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 healthcares most complex questions for our partners. Across the healthcare ecosystem were 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

Join Komodo Healths Data Foundations team and play a critical role in shaping the core data products that fuel our Healthcare Map. Youll transform massive complex healthcare datasets into performant trustworthy data assets that power customer-facing products internal innovation and AI/ML use cases. By building and scaling our foundational data systems youll directly enable the transparency and efficiency required to drive better health outcomes across the industry.

Mission

The Senior Data Platform Engineer will design build operate and improve the large-scale pipelines and foundational data platform behind Komodos Healthcare Map. This is a hands-on engineering role focused on processing complex healthcare data at scale improving reliability and performance and contributing to the technical direction of core data systems.

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

• Architectural Advancement: Delivered high-impact technical initiatives that improve pipeline performance scalability and system efficiency.
• Platform Hardening: Improved the reliability observability and cost-efficiency of core Data Foundations systems.
• Healthcare Data Innovation: Built deep domain expertise and contributed new approaches to challenges such as patient journey mapping and identity resolution.
• Cross-Functional Delivery: Partnered with Data Product and Engineering teams to ship scalable production-grade data solutions.
• Architecture Partnership: Raised the bar across the team through mentorship design reviews and engineering best practices.

Key Responsibilities

• Build operate and optimize large-scale batch pipelines using Python SQL Spark and Airflow on AWS
• Make storage and data layout decisions (table formats partitioning file sizing compaction) that keep large datasets fast to query and cost-efficient
• Ingest data from many external sources and keep pipelines correct through frequent schema changes
• Transform healthcare claims EHR and reference data into trusted serving-ready data products for customers and internal teams
• Strengthen reliability through data quality checks validation lineage observability and alerting
• Debug complex data system and performance issues across compute-heavy workflows
• Contribute to system design code quality testing documentation CI/CD and rotational production support

What you bring to Komodo Health:

• Strong hands-on experience building owning and debugging production data pipelines at multi-terabyte scale
• Advanced Python including performant memory-efficient code for large-scale data processing plus strong SQL
• Deep production experience with Airflow including operating and scaling it not just writing DAGs
• A solid understanding of how data is physically stored: columnar vs. row formats and open table formats like Iceberg Delta Lake or Hudi (updates compaction small files partitioning)
• Experience with Spark or a comparable distributed processing framework
• Proven experience designing and operating data systems in AWS
• Strong instincts for data correctness root-cause analysis and production troubleshooting
• The ability to communicate technical trade-offs clearly with engineering product and data partners
• Comfort using AI-assisted engineering tools for coding debugging documentation and technical exploration

AI-Augmented Engineering Expectations:

• You will be expected to leverage AI-augmented engineering tools such as ChatGPT Gemini or Claude to improve productivity and technical decision-making. This may include using AI to generate and refine code accelerate documentation automate test case creation debug complex issues explore unfamiliar technical concepts and assess architectural trade-offs and risks.

Additional skills and experience wed prioritize (nice to have)

• Containers and orchestration (Docker Kubernetes)
• Strong core software engineering fundamentals and experience in more than one language
• Data governance and lineage experience
• Experience delivering external-facing data products through APIs serving layers or customer access patterns
• Experience applying AI or agentic workflows to engineering data quality delivery or operations
• Success in high-growth or ambiguous environments

No healthcare background required. Youll build that domain expertise here.

**Open to US remote OR SF/NYC hybrid

#LIRemote

Komodos AI Standard

At Komodo were not just witnessing the AI revolution were leading it. This is a pivotal moment in time where being first to market with AI transforms industries and sets the bar. Weve already established industry leadership in leveraging AI to revolutionize healthcare and we expect every team member to here isnt optional; its foundational. We expect you to integrate AI into your daily work from summarizing documents to automating workflows and uncovering insights. This isnt just about efficiency; its about making every moment more meaningful building on trust in AI and driving our collective success.

Join us in shaping the future of healthcare intelligence.

Where Youll Work

Komodo Health has a hybrid work model with hubs in San Francisco New York City and Chicago. Roles vary some can be performed from anywhere in the country others are scoped to a specific region and some are based near one of our hubs. For hub-based Dragons were building intentional in-office rhythms alongside the flexibility thats core to how we work. Whatever your setup expectations will always be clear before you join.

Equal Opportunity Statement

Komodo Health provides equal employment opportunities to all applicants and employees. We prohibit discrimination and harassment of any type with regard to race color religion age sex national origin disability status genetics protected veteran status sexual orientation gender identity or expression or any other characteristic protected by federal state or local laws.

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