Senior Data Platform Engineer
Komodo Health
CA$196,000 - CA$230,000 / year
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Description
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. That’s why we built the Healthcare Map — the industry’s 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 healthcare’s most complex questions for our partners. Across the healthcare ecosystem, we’re 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 Health’s Data Foundations team and play a critical role in shaping the core data products that fuel our Healthcare Map. You’ll 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, you’ll 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 Komodo’s 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 we’d 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. You’ll build that domain expertise here.
**Open to US remote, OR SF/NYC hybrid
#LIRemote
The pay range for each job posting reflects a minimum and maximum range of annual base pay that we reasonably expect to pay for this position within the US. We carefully consider multiple business-related factors when determining compensation, including job-related skills, work experience, geographic work location, relevant training and certifications, business needs and market demands.
The starting annual base pay for this role is listed below. This position may be eligible for performance-based bonuses as determined in the Company’s sole discretion and in accordance with a written agreement or plan. This role may also be eligible for equity awards. In addition, this role is eligible for benefits including, but not limited to, comprehensive health, dental, and vision insurance; flexible time off and holidays; 401(k) with company match; disability insurance and life insurance; and leaves of absence in accordance with applicable state and local laws and regulations and company policy.
Komodo's AI Standard
At Komodo, we're not just witnessing the AI revolution – we're leading it. This is a pivotal moment in time, where being first to market with AI transforms industries and sets the bar. We've already established industry leadership in leveraging AI to revolutionize healthcare, and we expect every team member to contribute. AI here isn't optional; it's foundational. We expect you to integrate AI into your daily work – from summarizing documents to automating workflows and uncovering insights. This isn't just about efficiency; it's 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 You’ll 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, we're building intentional in-office rhythms alongside the flexibility that's 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.
By submitting your application, you acknowledge that you have read and understand Komodo Health’s Privacy Notice for Employees and Contractors.
This notice explains how we collect, use, and retain applicant data.
Benefits
- vision insurance
- 401(k)
- stock options
- life insurance
- disability insurance
About this role
Komodo Health's Data Foundations team is building the infrastructure behind the Healthcare Map, one of the largest datasets in U.S. healthcare. As a Senior Data Platform Engineer, you'd own the design and operation of large-scale batch pipelines that transform complex healthcare claims, EHR, and reference data into trusted products for customers and internal teams. This is hands-on work: you'll make critical decisions about data storage and layout, debug performance issues across compute-heavy workflows, and strengthen system reliability through observability and validation. The role demands deep expertise in Python, SQL, Spark, and Airflow on AWS, plus a solid grasp of how data is physically stored—table formats, partitioning, and open formats like Iceberg or Delta Lake.
Beyond pipeline engineering, you'd contribute to the technical direction of core systems through design reviews and mentorship, working closely with product and engineering teams to ship scalable solutions. The team values strong instincts for data correctness, root-cause analysis, and clear communication about technical trade-offs. You're expected to leverage AI-assisted tools like ChatGPT or Claude to improve your productivity and decision-making across coding, debugging, and architectural exploration. No healthcare background is required; you'll build that domain expertise on the job. The position is based in San Francisco with flexibility for US remote or SF/NYC hybrid work, and offers a salary range of $196,000–$230,000.
How this employer is doing
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In the news
Komodo Health - 2026 Funding Rounds & List of Investors, Tracxn
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Pay for this role
$196,000 to $230,000 per year
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