Staff Data Engineer

Summary

Join Komodo Health as a Principal Data Engineer and contribute to the development of cutting-edge data products using the Healthcare Map. You will design and implement algorithms, build robust data pipelines, and collaborate with cross-functional teams. Over the first year, you will manage key projects, develop a deep understanding of healthcare challenges, and partner with other teams to deliver robust solutions. This role requires deep expertise in software and data, extensive experience building scalable solutions, and strong communication skills. Komodo Health offers a competitive compensation package, including a hybrid work model and various benefits.

Requirements

• Deep expertise in software and data or related fields in healthcare and technology, US Healthcare claims data experience
• Extensive experience building scalable, best-in-class solutions that combine theoretical rigor with implementation efficiency
• Demonstrated record of thought leadership and solution design that spans from high-level conceptual frameworks to detailed execution plans
• Strong ability to communicate clearly and openly with both technical and non-technical teams
• Knowledge of large-scale data and computational technologies
• 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

Responsibilities

• Partnering with Engineering team members, Product Managers, Data Scientists, and customer-facing teams to understand complex health data use cases and business logic
• 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

• Clinical data experience is a strong plus
• Good understanding of AI/ML concepts and use cases
• Experience with building and deploying applications as containers using Docker and Kubernetes

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