Staff Data Engineer, Komodo Health

• 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

Desirable

• Komodo Health leverages the latest data engineering technology to tackle some of healthcare’s biggest challenges by transforming extraordinary amounts of data into rich and meaningful insights
• As a Principal Data Engineer on the Data Foundations team, you will help drive the development of Komodo Health’s state-of-the-art data products, and un-locking the potential of our Healthcare Data Map
• Your work will be instrumental in designing and implementing algorithms, building robust data pipelines, and fostering a culture of trust, transparency, and technical expertise
• Looking back on your first 12 months at Komodo Health, you will have accomplished…
• Managed, coordinated, and delivered on key projects that advance our ability to bring new Technical and Data Services to market
• Developed a deep understanding of healthcare-specific challenges and introduced innovative algorithms and software techniques that address these
• Partnered with Data Product and Engineering teams to develop technical requirements, project roadmaps, and delivery of robust solutions
• Actively collaborated with team members to mentor and up-level
• 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