Snout helps veterinary clinics offer affordable monthly pet wellness plans, making preventive care accessible and stress-free for pet owners. Backed by 500 Global and Pear VC.
About the role
Snout is one of the fastest growing wellness plan providers in the veterinary space, trusted by clinics across the U.S. We’re a small but mighty startup team. We’re looking for a remote, U.S. based Founding Data Engineer to build the data foundation the rest of the company will run on.
What they're looking for
- 6+ years building and maintaining production data systems as a data or analytics engineer
- Deep SQL and hands-on PostgreSQL experience
- Strong dbt and dimensional/data-modeling experience in production — you’ve built warehouses people actually trust
- A track record of taming large, messy datasets from multiple source systems and turning them into something coherent
- Strong communication: you can make a clear recommendation, back it with reasoning and cost, and commit wholeheartedly to a decision even when it isn’t the one you argued for
- Comfortable being the first and only data person for a while — self-directed, and happy building the foundation before there’s a team
More about this role
Every pet should get the care they need, regardless of cost. Vet med prices are up 40% since 2020, and pet owners are stuck having to pick between their bank account and furry friend. At Snout , we aim to solve this by enabling clinics to offer pet wellness plans, that actually work.
Snout is one of the fastest growing wellness plan providers in the veterinary space, trusted by clinics across the U.S. We’re a small but mighty startup team. We’re looking for a remote, U.S. based Founding Data Engineer to build the data foundation the rest of the company will run on.
This is Snout’s first dedicated data hire, reporting directly to the CTO. You’re inheriting a real, working system — a Postgres operational database and a dbt-modeled analytics warehouse that already powers internal reporting and our LLM/AI tooling — but one that’s grown faster than anyone’s had time to organize. Your job is to turn it into a firm, documented, trustworthy foundation.
That means first understanding what data we actually have and where it lives, then making it coherent. We ingest hundreds of millions of rows from multiple veterinary practice-management systems (Cornerstone, AllyDVM, and others) alongside...
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