Remote Data Engineer

Summary

Join 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. 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.

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

Benefits

• Competitive total rewards package including medical, dental and vision coverage along with a broad range of supplemental benefits including 401k Retirement Plan, prepaid legal assistance, and more
• Paid time off for vacation, sickness, holiday, and bereavement
• 100% company-paid life insurance and long-term disability insurance