Data Engineer

Job not on LinkedIn

🔥 19 minutes ago

🌐 United States, Canada – Remote

🇺🇸 United States – Remote 🇨🇦 Canada – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

👻 Ghost score 19%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Nest Veterinary

WebsiteLinkedInAll Job Openings

1 - 10 employees

Founded 2022

🏥 Healthcare

☁️ SaaS

🤝 B2B

Healthcare • SaaS • B2B

Nest Veterinary is a SaaS provider that builds and operates white‑labeled wellness plan software for veterinary practices. The platform enables clinics to design custom wellness plans for dogs and cats, streamlines fast client signup, automates member management and billing (including two‑way PIMS integrations and high payment capture), and delivers analytics, reporting, and training to drive recurring revenue, compliance, and client loyalty. Customers report large increases in signups, revenue, and diagnostic activity after migrating to Nest.

📋 Description

• 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