Data Engineer
Data Engineer
Engineering · Remote (US or Canada) · Full-time · Reports to CTO
About Nest
Nest builds care plan infrastructure for veterinary hospitals. Corporate veterinary groups use Nest to run preventive care memberships under their own brand, and we handle what sits underneath: enrollment, recurring billing, analytics, marketing, and seller-of-record compliance.
Care plans change how pets receive care. Pet owners pay a predictable monthly amount, visit more often, and catch problems earlier. Hospitals build steadier revenue and longer client relationships. Our mission is to make that kind of preventive care available to every pet.
About the team
Nest engineering builds the software hospitals use to run care plans, including a Flutter desktop application used in clinics, web applications, and FastAPI and gRPC services written in Python and Rust on Google Cloud. The platform connects to veterinary practice management systems (PIMS), payment systems, and third-party APIs.
What you'll do
Every care plan depends on data moving correctly between a hospital's PIMS, our enrollment and billing systems, and the reporting that hospitals and our own teams rely on. As our first data engineer, you will own that layer: the pipelines, the data models, and the warehouse that analytics runs on. After a year, PIMS data will arrive reliably, the warehouse will be the trusted source for finance and hospital reporting, and new integrations will follow patterns you established.
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.
Who you are
We are looking for someone who meets the minimum requirements for this role. If you meet them, we encourage you to apply. Preferred qualifications are a bonus, not a requirement.
Minimum requirements
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.
Preferred qualifications
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.
How we work
Nest is a small, fully remote team. Each person owns outcomes the company depends on, and the scope of most roles grows as the company does. We write decisions down, give direct feedback, and expect problems to be raised early. The work is demanding because hospitals and pet owners rely on it every day, and it suits people who want more ownership than a larger company would offer.
Our hiring process
Our process typically includes a conversation with the hiring manager, a working session based on the actual job, and conversations with the people you would work with most. We will tell you what each stage covers before it starts, and we close the loop with everyone we interview.
Equal opportunity
Nest is an equal opportunity employer. We make hiring decisions based on the work and the person, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected characteristic. If you need accommodation during the hiring process, email [email protected].