Staff Data Engineer

Key Skills

Python Programming, SQL, Aartificial intelligence, Machine learning techniques, Data science techniques, NoSQL, Snowflake, Docker, Kubernetes-K8s, Data Engineering

Job Description

Komodo Health leverages the latest data engineering technology to tackle some of healthcare’s biggest challenges by transforming extraordinary amounts of data into rich and meaningful insights. As a Principal Data Engineer on the Data Foundations team, you will help drive the development of Komodo Health’s state-of-the-art data products, and un-locking the potential of our Healthcare Data Map. Your work will be instrumental in designing and implementing algorithms, building robust data pipelines, and fostering a culture of trust, transparency, and technical expertise.

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

• Managed, coordinated, and delivered on key projects that advance our ability to bring new Technical and Data Services to market
• Developed a deep understanding of healthcare-specific challenges and introduced innovative algorithms and software techniques that address these
• Partnered with Data Product and Engineering teams to develop technical requirements, project roadmaps, and delivery of robust solutions
• Actively collaborated with team members to mentor and up-level

These are the essential job duties you will be responsible for …

• Partnering with Engineering team members, Product Managers, Data Scientists, and customer-facing teams to understand complex health data use cases and business logic
• Building foundational pieces of our data platform architecture, pipelines, analytics, and services underlying our platform
• Architecting and developing reliable data pipelines that transform data at scale, orchestrated jobs via Airflow, using SQL and Python in Snowflake
• Contributing to python packages in Github and APIs, using current best practices

What you bring to Komodo Health (required):

• Deep expertise in software and data or related fields in healthcare and technology, US Healthcare claims data experience
• Extensive experience building scalable, best-in-class solutions that combine theoretical rigor with implementation efficiency
• Demonstrated record of thought leadership and solution design that spans from high-level conceptual frameworks to detailed execution plans
• Strong ability to communicate clearly and openly with both technical and non-technical teams
• Knowledge of large-scale data and computational technologies
• Experience with SQL and query design on large, complex datasets
• Ability to use a variety of relational, NoSQL, Postgres, and/or MPP databases (ideally Snowflake on AWS) and leading data modeling, schema design, and data storage best practices

Additional skills and experience we’d prioritize (nice to have)…

• Clinical data experience is a strong plus
• Good understanding of AI/ML concepts and use cases.
• Experience with building and deploying applications as containers using Docker and Kubernetes

Compensation at Komodo Health

The pay range for each job posting reflects a minimum and maximum range of pay that we reasonably expect to pay across all U.S. locations and may span more than one career level. 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 U.S. national 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.

$179,000—$277,000 USD

Where You’ll Work

Komodo Health has a hybrid work model; we recognize the power of choice and importance of flexibility for the well-being of both our company and our individual Dragons. Roles may be completely remote based anywhere in the country listed, remote but based in a specific region, or local (commuting distance) to one of our hubs in San Francisco, New York City, or Chicago with remote work options.

What We Offer

Positions may be eligible for company benefits in accordance with Company policy. We offer a competitive total rewards package including medical, dental and vision coverage along with a broad range of supplemental benefits including 401k Retirement Plan, prepaid legal assistance, and more. We also offer paid time off for vacation, sickness, holiday, and bereavement. We are pleased to be able to provide 100% company-paid life insurance and long-term disability insurance. This information is intended to be a general overview and may be modified by the Company due to business-related factors.