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 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, Customer Success and Sales 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, Sentinel and MapLab platform.
• Built and improved the foundational pieces of Sentinel data infrastructure, pipelines, and data services 
• Led and implemented new data product offerings on Sentinel 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
• Ensured 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:

• Demonstrated proficiency in designing and developing with distributed data processing platforms like Spark and pipeline orchestration tools like Airflow and/or Temporal
• Experience with modern data warehouses such as Snowflake; Experience with SQL and query design on large, complex datasets
• Solid computer science skills and proficiency in programming languages like Python. Able to leverage industry standard engineering best practices, like design patterns and/or testing
• Capable of quickly building expertise on an as-need basis on a new tech stack
• Experience with product engineering software development, in an agile environment
• Demonstrated track-record of delivering products and features with varying degrees of complexity, and through several iterations of product development
• Understand and design for non-functional concerns such as performance, cost optimization, maintainability and developer experience
• A thirst for knowledge, willingness to learn, and a growth-oriented mindset
• Excellent cross-team communication and collaboration skills

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

• Experience in building containerized API services to serve both internal and external clients
• Experience enhancing CI/CD build tooling in a containerized environment, from deployment pipelines (Jenkins, etc), infrastructure as code (Terraform, Cloudformation), and configuration management via Docker and Kubernetes
• US health care data experience is not required but it is a strong plus

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