Data Engineer

Summary

Join Komodo Health as a Data Engineer and contribute to building and scaling a data platform that powers state-of-the-art interactive product experiences. You will design robust data pipelines, implement data best practices, and collaborate with cross-functional teams to understand data requirements. This role involves solving complex data challenges, ensuring data scalability across product offerings, and delivering data products and insights to customers. Within your first year, you will gain a deep understanding of Komodo Health's data landscape, build and improve data infrastructure, lead new data product offerings, and design data migrations. You will work with a team of ambitious and supportive professionals who share a passion for reducing the burden of disease. This position is offered through an Employer of Record (EoR) vendor, responsible for employer obligations.

Requirements

• 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

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

Preferred Qualifications

• 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

Benefits

• Medical, dental and vision coverage
• 401k Retirement Plan
• Prepaid legal assistance
• Paid time off for vacation, sickness, holiday, and bereavement
• 100% company-paid life insurance and long-term disability insurance