2 months ago
Remote, United StatesSenior
Base Salary
$165k - $185k/yr
Responsibilities
- Map, document, and reconcile Snout’s data landscape across application and veterinary practice-management systems.
- Own and extend the dbt warehouse, including source-system modeling, dimensional modeling, testing, documentation, and data freshness.
- Own ingestion pipelines and the warehouse rebuild, improving reliability and recommending simplifications or consolidations.
- Deliver clean, well-modeled data to internal reporting and LLM/AI tooling.
- Lead stakeholder discovery across GTM, CX, finance, and product, presenting options, trade-offs, costs, and recommendations.
- Establish the technical foundation for and support the data analyst hired after this role.
Requirements
- 6+ years of experience building and maintaining production data systems as a data or analytics engineer.
- Deep SQL and hands-on PostgreSQL experience.
- Strong production experience with dbt and dimensional or data modeling.
- Track record of reconciling large, messy datasets from multiple source systems into coherent data models.
- Pragmatic approach focused on simplicity, cost awareness, and justifying technical complexity.
- Strong written and verbal communication, including making recommendations and explaining trade-offs.
- Ability to work independently as the first and only data hire for a period of time.
- Experience as an early or first data hire who later grew a function or team is preferred.
- Python or similar experience for pipelines and tooling is preferred.
- Experience modeling data for LLM/AI consumption is preferred.
- Veterinary or healthcare data, PIMS systems, subscription or technology startup, Series A/B, or AWS experience is preferred.
Benefits
- Remote, U.S.-based role.
- Day 1 medical, dental, and vision benefits.
- Flexible time off and 11 company calendar holidays.
- Paid parental leave.
- Quarterly travel flexibility is expected.
- Equity is offered.
Tech Stack
Categories
Data Engineering
