Data Engineer

Komodo Health · Chicago, IL

Health & Well-Being
Posted 4 months ago

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We Breathe Life Into Data!

At Komodo Health, our mission is to reduce the global burden of disease. Smarter use of data is essential to this mission. We combine the world’s most comprehensive view of patient encounters with innovative algorithms and decades of clinical expertise to power our Healthcare Map, the industry’s most precise view of the U.S. healthcare system. With the Healthcare Map as our foundation, we offer a suite of powerful software applications that deliver exceptional value to the industry.

Our people are the center of our success. We are a smart, supportive team with diverse perspectives and a shared passion for fixing what’s broken in healthcare. It’s fun, challenging and important. Join us!

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 of Komodo Health’s team, you will be solving complex data challenges while designing and implementing data processing and transformation at 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 infrastructure, pipelines, and data services underlying our healthcare platform or products
  • Designed and developed reliable data pipelines that transform data at scale, orchestrated jobs via Airflow, using SQL and Python in Snowflake and/or Spark
  • Partnered with Engineering team members, Product Managers, Program Managers, and customer facing teams to understand and refine data pipeline requirements
  • 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 clinical solution design

 What you bring to Komodo:

  • Expertise designing and developing with distributed data processing platforms like Spark and pipeline orchestration tools like Airflow 
  • Demonstrated proficiency writing code and contributing to large data pipeline codebases with Python, Scala, or Java
  • Experience with SQL and query design on large, complex datasets 
  • Experience with relational, NoSQL, and MPP (Snowflake, BiqQuery, Redshift, DynamoDB, Redis, Elasticsearch) databases leading data modeling, schema design, and data storage best practices
  • 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 
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