Data Engineer

Summary

Join Komodo Health, a company dedicated to reducing the global burden of disease through data-driven solutions. As a Data Engineer, you will play a pivotal role in building and enhancing our data platform, working with various teams to design and implement data processing and transformation at scale. You will contribute to the architecture of our data pipelines, ensuring robust and efficient data flow. This role requires expertise in Python, SQL, and experience with distributed data processing platforms. Komodo Health offers a hybrid work model, competitive compensation, and a comprehensive benefits package.

Requirements

• 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
• Excellent cross-team communication and collaboration skills

Responsibilities

• Partner with Engineering team members, Product Managers, Data Scientists, and customer-facing teams to understand complex health data use cases and business logic
• Be curious about our data
• Building foundational pieces of our data platform architecture, pipelines, analytics, and services underlying our platform
• Architecting and developing reliable data pipelines that transform data at scale, orchestrated jobs via Airflow, using SQL and Python in Snowflake
• Contributing to python packages in Github and APIs, using current best practices

Preferred Qualifications

• 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

Benefits

• Competitive total rewards package including 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
• Long-term disability insurance
• Performance-based bonuses
• Hybrid work model