Data Engineer

Nest Veterinary

. Own the data engineering layer, including pipelines, data models, and the analytics warehouse .

Posted 9/18/2026full-timeRemote • United States, CanadaMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in data engineering, including building and maintaining ETL and real-time pipelines, designing data models, and ensuring data quality. Proficient in Python and SQL, with experience in integrating third-party APIs and collaborating with cross-functional teams.

Highest-signal resume keywords

Data Engineering ExperiencePython FluencySQL ProficiencyReal-Time Pipeline DevelopmentGoogle Cloud Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

ETL DevelopmentData ModelingAPI IntegrationReal-Time Data PipelinesPythonSQLDbtPandasPolarsJava

Soft Skills

Independent WorkTechnical Communication

Tools & Technologies

Google CloudDataflowSpannerBigQuerySigma

Industry Keywords

PIMSEHRHealthcare SystemsBI Platform

Tech Stack

Tools & technologies

BigQueryCloudETLJavaPandasPythonSQL

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

Fully remote work
Equal opportunity employment
Accommodation during the hiring process
Hiring process includes transparency about each stage and feedback to everyone interviewed