Data Engineer owning ETL pipelines, models, and analytics warehouse infrastructure. Nest provides care-plan billing and reporting software for veterinary hospitals.
Responsibilities
Own the data engineering layer, including pipelines, data models, and the analytics warehouse
Build and maintain ETL and real-time pipelines bringing PIMS data into Nest's systems
Build integrations with third-party APIs
Design data models for hospital analytics, internal reporting, and finance
Work with the Director of Finance to make Sigma a reliable self-service tool across the company
Establish standards for testing, documentation, and data quality monitoring
Troubleshoot production data issues and fix root causes
Establish reusable patterns for future integrations
Collaborate with a fully remote engineering team building veterinary care-plan infrastructure
Requirements
3 or more years of professional data engineering experience
Fluency in Python and SQL, including dbt and Pandas or Polars
Experience building and operating real-time pipelines in production
Ability to work independently and explain technical tradeoffs to people outside engineering
Preferred: Experience with Google Cloud, particularly Dataflow, Spanner, and BigQuery
Preferred: Integration work with PIMS, EHR, or other healthcare systems
Preferred: Experience with Sigma or another modern BI platform
Preferred: Working knowledge of Java
Preferred: Experience as an early or first data hire
Ability to work legally in the United States or Canada, as indicated by the sponsorship question
Benefits
Fully remote work
Equal opportunity employment
Accommodation during the hiring process
Hiring process includes transparency about each stage and feedback to everyone interviewed
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