Senior Data Engineer, UDS (Unified Data Service)

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:
Komodo Health leverages the latest data engineering technology such as Spark, Airflow, and Snowflake to tackle some of healthcare’s biggest challenges by transforming extraordinary amounts of data into rich and meaningful insights.

As a Senior Data Engineer on Komodo Health’s team, you will be solving complex data challenges while helping build and scale our data platform that powers state-of-the-art interactive product experiences. You will enable smarter, more innovative uses of healthcare datasets by designing robust data pipelines and implementing data best practices.

This role will collaborate with Product Managers, and other platform engineering teams to understand data requirements and to develop the set of necessary data processing steps for creating said data products and insights.

This role will be a key contributor to the scalability of the data systems across our suite of product offerings, including the design and implementation of data pipelines. This person will be a part of a team delivering data products and insights to our customers either via our suite of product applications or any other delivery mechanisms.

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

• Gained an understanding of the broader Komodo Health data landscape, MapLab platform.
• Built and improved the foundational pieces of data infrastructure, pipelines, and data services 
• Work closely with our product team and data warehouse engineers to build analytics tools and dashboards that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency, and other key business performance metrics.
• Work with other data experts to strive for greater functionality in our data systems.
• Led and implemented new and complex data products on a platform with complex business requirements across different stakeholders, including engineering, product, and customers.
• Designed and implemented data and system migrations for existing customers to new platform
• Ensure non-functional requirements are met, such as costs, developer experience, reliability, maintainability, and operations/support.

You will accomplish these outcomes through the following responsibilities…

• Partnering with Engineering team members, Product Managers, and customer-facing teams to understand complex health data use cases and business logic
• Being curious about our data
• Building foundational pieces of our data platform architecture, pipelines, analytics, and services underlying our platform 
• Designing and developing reliable data pipelines that transform data at scale, orchestrated jobs via Airflow/Temporal, 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):

• Passionate about big data, building platforms, and solving complex problems.
• Proficiency in distributed data processing platforms like Spark, pipeline orchestration tools like Temporal (preferred) or Airflow, and messaging systems like Kafka.
• Experience with modern data warehouses (e.g., Snowflake), SQL, and query design for large, complex datasets.
• Strong computer science fundamentals and programming expertise, particularly in Python, for tasks like API integration and data transformation.
• Skilled in transforming data, buildin