Senior Data Engineer, Komodo Health
Knowledge & Information
$153-238k
Salary dependent on candidates location
Comprehensive patient journey data
Be an early applicant
Comprehensive patient journey data
501-1000 employees
Be an early applicant
$153-238k
Salary dependent on candidates location
501-1000 employees
Company mission
To reduce the burden of disease.
Role
Who you are
- Strong hands-on experience building, operating, and debugging production-grade data pipelines at scale in AWS, with sharp instincts for data quality, reliability, root-cause analysis, and production troubleshooting
- Advanced Python and SQL skills; experience with Airflow or similar orchestration tools and Spark or comparable distributed processing frameworks
- Ability to communicate technical trade-offs clearly and collaborate across engineering, product, and data teams
- Comfort using AI-assisted engineering tools for productivity, debugging, documentation, and technical exploration
Desirable
- Healthcare data experience is a plus, but not required
- 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
- Proven success in high-growth or ambiguous environments that require balancing architecture, speed, and quality
What the job involves
- The Senior Data Engineer will design, build, operate, and improve large-scale data pipelines and foundational data products that power Komodo’s Healthcare Map, analytics products, and downstream AI/ML-enabled use cases.
- 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: Deliver high-impact technical initiatives that improve pipeline performance, scalability, and system efficiency
- Platform Hardening: Improve the reliability, observability, and cost-efficiency of core Data Foundations systems
- Cross-Functional Delivery: Partner with Data Product and Engineering teams to ship scalable, production-grade data solutions
- You will accomplish these outcomes through the following responsibilities…
- Build, operate, and optimize large-scale production data pipelines using Python, SQL, Airflow, cloud infrastructure, and distributed processing frameworks — including robust data quality checks, validation, lineage, observability, monitoring, and alerting
- Design and scale agentic data acquisition and extraction systems for complex, unstructured public data sources; develop LLM-powered Human-in-the-Loop (HITL) pipelines for data extraction and curation
- Transform healthcare claims, EHR, non-claims-based, and reference datasets into trusted, performant Healthcare Map data products and serving-ready data assets
- Contribute to system design, architecture, code quality, testing, documentation, CI/CD, and rotational production support — including debugging 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 that enable downstream analytics, product, and AI/ML use cases
- 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
Our take
Komodo Health's Healthcare Map tracks the healthcare journeys of over 330M patients, giving providers, pharma companies, and researchers the tools to identify opportunities for care, track treatment outcomes, and uncover patterns in patient and drug behavior.
The platform tackles the fragmentation of healthcare, helping organizations act on reliable, real-world intelligence instead of incomplete or siloed date.
The company's been making some big moves recently too, with the launch of its healthcare-native AI engine Marmot™ and partnering with Anervea.ai to bring Ai directly into clinical development. With these innovations and strategic partnerships, Komodo is in a really good spot to lead the future of AI-driven healthcare intelligence.
Freddie
Company Specialist at Welcome to the Jungle
Insights
-4% employee growth in 12 months
Company
Funding (last 2 of 4 rounds)
Dec 2022
$200m
LATE VC
Mar 2021
$220m
SERIES E
Total funding: $514m
Company HQ
Midtown Manhattan, New York, NY
Leadership
Arif Nathoo
(Co-Founder & CEO)Studied Medicine at Harvard. Former Associate Principal at McKinsey & Co for 7 years. Became a Senior Advisor for 2 years.
Web Sun
(Co-Founder & President)Previously worked in Sales and Marketing at Merck&Co. VP of Business Development at Campbell Alliance.
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