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About the Role
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.
Responsibilities
- Design, build, operate, and improve large-scale data pipelines and foundational data products.
- Build, operate, and optimize large-scale production data pipelines using Python, SQL, Airflow, cloud infrastructure, and distributed processing frameworks.
- Transform massive healthcare claims, EHR, and reference datasets into trusted, performant Healthcare Map data products and serving-ready data assets.
- Strengthen pipeline reliability through data quality checks, validation, lineage, observability, monitoring, and alerting.
- Debug complex data, system, and performance issues across computationally intensive workflows.
- Partner with Data Product Quality, Product, Platform, and Engineering teams to translate healthcare data needs into scalable technical solutions.
- Contribute to system design, architecture, code quality, testing, documentation, CI/CD, and rotational production support.
- Enable downstream analytics, product, and AI/ML use cases through high-quality, well-modeled, reliable data.
- Deliver high-impact technical initiatives that improve pipeline performance, scalability, and system efficiency.
- Improve the reliability, observability, and cost-efficiency of core Data Foundations systems.
- Develop deep domain expertise and contribute novel approaches to challenges such as patient journey mapping and identity resolution.
- Partner with Data Product and Engineering teams to ship scalable, production-grade data solutions.
- Raise the bar across the team through mentorship, design reviews, and engineering best practices.
Requirements
- Healthcare data experience across claims, clinical, RWE, provider, patient, or life sciences datasets, including coding systems such as ICD-10, CPT, NDC, or NPI.
- Strong hands-on experience building, operating, and debugging production-grade data pipelines at scale.
- Advanced Python and SQL skills, with experience in Airflow or similar workflow orchestration tools.
- Experience with Spark or comparable distributed data processing frameworks.
- Proven experience designing and operating data solutions in AWS.
- Strong instincts for data quality, reliability, root-cause analysis, and production troubleshooting.
- Ability to communicate technical trade-offs clearly and collaborate with engineering, product, and data partners.
- Comfort using AI-assisted engineering tools for productivity, debugging, documentation, and technical exploration.
- Experience delivering external-facing data products through customers, APIs, serving layers, or production access patterns.
- Ability to optimize high-scale data architectures for performance, cost, versioning, and large-volume productization.
- Experience applying AI or agentic workflows to engineering, data quality, delivery, or operations.
- Success in high-growth or ambiguous environments that require balancing architecture, speed, and quality.
Skills
- Python
- SQL
- Airflow
- AWS
- Spark
- Data Quality
- Reliability
- Root-cause Analysis
- Production Troubleshooting
- AI-assisted engineering tools
Location
- US Remote
- San Francisco Hybrid
- New York City Hybrid
- Chicago Hybrid
Work Type
- Remote
- Hybrid
Experience Level
- Senior
Salary/Compensations
- San Francisco Bay Area and New York City: $196,000—$230,000 USD
- All Other US Locations: $170,000—$200,000 USD
Benefits
- Comprehensive health, dental, and vision insurance
- Flexible time off and holidays
- 401(k) with company match
- Disability insurance
- Life insurance
- Leaves of absence in accordance with applicable state and local laws and regulations and company policy
About the Company
- 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.
- 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.
- 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.
Equal Opportunity
- 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.