Komodo Health Logo

Komodo Health

Senior Data Engineer

Sorry, this job was removed at 11:31 a.m. (PST) on Wednesday, Jul 22, 2026
Remote
Hiring Remotely in United States
207K-238K Annually
Remote
Hiring Remotely in United States
207K-238K Annually

Similar Jobs

14 Days Ago
Easy Apply
Remote or Hybrid
USA
Easy Apply
150K-250K Annually
Senior level
150K-250K Annually
Senior level
Fintech • Software • Financial Services
Own data pipelines into and out of the warehouse, dbt models, data integrity, governance, identity resolution, reverse ETL, and quality monitoring across growth, lifecycle, and brokerage data. Partner with product, marketing, and operations teams to establish data contracts, ensure accurate and timely business metrics, and support regulated financial data requirements.
Top Skills: AirflowArgo WorkflowsChange Data CaptureDatadogDbtFivetranKubernetesPythonReverse EtlSegmentSnowflakeSQL
23 Days Ago
In-Office or Remote
7 Locations
168K-297K Annually
Senior level
168K-297K Annually
Senior level
Blockchain • eCommerce • Fintech • Payments • Software • Financial Services • Cryptocurrency
Lead product data engineering across architecture, data modeling, pipelines, monitoring, lineage, and data quality. Build reliable analytical datasets, support experimentation and machine learning use cases, and resolve business-critical pipeline issues. Partner with product and engineering stakeholders to translate business needs into automated data solutions. The role requires ownership of end-to-end data engineering projects, on-call participation, and development of AI-assisted monitoring and automation.
Top Skills: AirflowDatabricksDbtGitOmniPrefectPythonSnowflakeSQLTerraform
24 Days Ago
Remote or Hybrid
7 Locations
168K-297K Annually
Senior level
168K-297K Annually
Senior level
Blockchain • Fintech • Mobile • Payments • Software • Financial Services
Lead product data engineering initiatives by designing data models, owning critical pipelines, building data quality and lineage monitoring, and supporting experimentation and ML-ready datasets. Translate business needs into automated data solutions, maintain pipeline SLAs through on-call support, and develop AI-assisted tools for issue detection and resolution. Collaborate with Product, Engineering, Data Science, Machine Learning, and Applied AI teams across Block’s products.
Top Skills: AirflowDatabricksDbtGitOmniPrefectPythonSnowflakeSQLTerraform

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 Knowledge & Information 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.

Mission

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.

What you bring to Komodo Health:

  • 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.

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)…

  • 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.

#LIRemote

Open to NYC/SF Hybrid or Remote

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. 

San Francisco Bay Area and New York City:
$207,000—$238,000 USD
All Other US Locations:
$180,000—$207,000 USD

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.

HQ

Komodo Health San Francisco, California, USA Office

680 Folsom St, San Francisco, CA, United States, 94107

Komodo Health Los Altos, California, USA Office

5050 El Camino Real, Suite #100, Los Altos, CA, Los Altos, United States, 94022

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account