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 the Platform team, you will help lead the development of Komodo Health’s platform-enabled workflow tools.  The Komodo platform powers all of Komodo’s current and future workflow analytical applications and enables 3rd party builders to integrate with, extend, customize, or build on the platform.

Reporting directly to the Engineering Manager, you will be solving complex data challenges while designing and implementing data processing and transformation at a scale that powers state-of-the-art interactive product experiences. You will enable smarter, more innovative uses of healthcare data by building robust data pipelines and implementing data best practices.

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

• Worked on foundational pieces of our data platform architecture, pipelines, analytics, and services underlying our platform 
• Partnered with Engineering team members, Product Managers, Data Scientists, and customer-facing teams to understand and deliver python packages as well as web-based python services
• Designed and developed reliable data pipelines that transform data at scale, orchestrated jobs via Airflow, using SQL and Python in Snowflake and/or Spark
• Helped implement continuous improvements to our data governance practices and implemented data quality improvements
• Implemented technical enhancements to our CI/CD processes and/or built tooling to ensure data consistency and quality
• Gained an understanding of the broader Komodo Health data landscape and being part of architectural decisions for the Healthcare Analytics and Platform as a Service offerings

What you bring to Komodo:

• Expertise in writing enterprise-level code and contributing to large data pipelining and API processing with Python
• 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
• Demonstrated proficiency in designing and developing with distributed data processing platforms like Spark and pipeline orchestration tools like Airflow 
• A thirst for knowledge, willingness to learn, and a growth-oriented mindset
• Committed to fostering an inclusive environment where your teammates feel motivated to succeed
• 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
• Excellent cross-team communication and collaboration skills

Compensation at Komodo Health

We are committed to providing competitive compensation for all roles at Komodo Health. We carefully consider multiple factors when determining compensation, including your skills, experience, and location while balancing internal equity relative to peers at the company. The targeted base salary range for the Data Engineer role is $123,900 to $186,300 plus a competitive bonus and equity package.

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