Senior Data Engineer

Lyric is the trusted leader in healthcare decision intelligence. Built on more than 35 years of proven results, Lyric combines responsible AI with clinical, payment, regulatory, and policy expertise to deliver transparent, auditable insights in milliseconds across real-time claims workflows.

Lyric augments human decision-making so health plans can make faster, more accurate payments while maintaining full control. Today, Lyric supports 200 million lives, with nine of the top 10 U. S. health plans relying on its platform to reduce waste, improve efficiency, and support accurate payments.

Applicants must already be legally authorized to work in the U. S. Visa sponsorship/sponsorship assumption and other immigration support are not available for this position. As a Senior Data Engineer on the Data Platform team, you will build the data foundation that Lyric's products run on.

Data Platform team owns the canonical data model for Lyric's core healthcare data domains, the framework that ingests, transforms, validates, and serves that data across a multi-tenant platform, and the quality guarantees our consuming teams build against. Our stack is Snowflake, Airflow, dbt, and Python.

This is a hands-on building role. You will design and deliver pipelines within our unified framework, implement the canonical data model in production, build validation and observability into the data path rather than around it, and help consuming teams get what they need without a bespoke build every time.

You will work closely with our Principal Data Engineer, who sets architectural direction, and you will be expected to contribute to that direction.

Responsibilities

Design, build, and own data pipelines in our unified framework using Airflow, dbt, and Snowflake. Implement the canonical data model in production, working within the architecture set by the Principal Data Engineer and contributing to it based on what implementation reveals. Build automated validation and data quality checks into pipe