[Remote] Data Engineer
Note: The job is a remote job and is open to candidates in USA. Nest builds care plan infrastructure for veterinary hospitals, supporting preventive care memberships, enrollment, billing, analytics, and compliance. The Data Engineer will own Nest’s data layer by building pipelines, integrations, data models, and a warehouse that supports hospital analytics, finance, and reporting.
Responsibilities
- Build and maintain ETL and real-time pipelines that bring PIMS data into Nest's systems
- Build integrations with third-party APIs that extend what the product can do
- Design the data models behind hospital analytics, internal reporting, and finance
- Work with our Director of Finance to make Sigma a reliable self-service tool across the company
- Set standards for testing, documentation, and data quality monitoring
- Troubleshoot production data issues and fix their root causes
Skills
- • You have 3 or more years of professional data engineering experience
- • You are fluent in Python and SQL, including dbt and Pandas or Polars
- • You have built and operated real-time pipelines in production
- • You work well independently and can explain technical tradeoffs to people outside engineering
- • Experience with Google Cloud, particularly Dataflow, Spanner, and BigQuery
- • Integration work with PIMS, EHR, or other healthcare systems
- • Experience with Sigma or another modern BI platform
- • Working knowledge of Java
- • Experience as an early or first data hire
Benefits
- Fully remote work arrangement for employees in the US or Canada
Company Overview