Data Engineer

Tennr, New York City Office

The role

Own the data engineering function end-to-end: build and maintain production pipelines from Tennr's application into Snowflake, ensuring reliability and performance at scale.
Lead EHR discovery and integration initiatives across ~5–10 healthcare systems. Understand what data is available, what integrations we have, evaluate technical tradeoffs, and build creative solutions to extract and ingest data into Snowflake.
Own Snowflake as our strategic data platform: architect instance setup, implement security best practices and governance, manage vendor relationships, and ensure zero data exposure.
Design and implement data models that transform raw data into usable assets. Surface and safely share that data across Tennr so internal teams can build their own analytics and tooling.
Implement comprehensive monitoring and alerting to detect pipeline issues quickly and resolve them with minimal business impact.
Explore innovative approaches to structure and extract insights from unstructured referral documentation, including potential AI-enabled models to unlock value from clinical text data.

Tennr, New York City Office

Own the data engineering function end-to-end: build and maintain production pipelines from Tennr's application into Snowflake, ensuring reliability and performance at scale.
Lead EHR discovery and integration initiatives across ~5–10 healthcare systems. Understand what data is available, what integrations we have, evaluate technical tradeoffs, and build creative solutions to extract and ingest data into Snowflake.
Own Snowflake as our strategic data platform: architect instance setup, implement security best practices and governance, manage vendor relationships, and ensure zero data exposure.
Design and implement data models that transform raw data into usable assets. Surface and safely share that data across Tennr so internal teams can build their own analytics and tooling.
Implement comprehensive monitoring and alerting to detect pipeline issues quickly and resolve them with minimal business impact.
Explore innovative approaches to structure and extract insights from unstructured referral documentation, including potential AI-enabled models to unlock value from clinical text data.