Senior Data & AI Engineer

About Us

Dutch Vet is transforming veterinary care by making expert treatment accessible anytime, anywhere. Our mission is simple: help every pet live their happiest, healthiest life by connecting pet parents with licensed vets through seamless virtual visits.

We're the only veterinary telemedicine service that can diagnose, prescribe, and ship medications directly to customers in most states. For less than $100 per year, Dutch offers real relief and convenience for pets and their families.

As one customer put it: "Dutch was the only site that would diagnose and prescribe meds as well as ship the meds."

Here's what other customers have said about Dutch Vet:

"The easiest vet visit you'll ever have."

"More thorough than my in-person vet."

"No nonsense, quick, easy and friendly veterinarian. Much cheaper than our regular local vet that couldn't get us in. So glad I found Dutch!"

Backed by world-class investors including Forerunner Ventures, Eclipse Ventures, and Bling Capital, our team is made-up of successful startup founders (Hims, Plush Care, Nasty Gal) with expertise in scaling enterprises (Trip Advisor, Walmart, BARK). Featured in Tech Crunch, Forbes, Wired, and Axios, Dutch is setting the standard for quality, accessibility, and compassion in pet care.

We're looking for a Lead Data/AI Engineer to own the pipelines, event tracking, and data models that power analytics, reporting, and AI features across Dutch. This role sits at the center of our modern data stack:
Segment and Amplitude for behavioral data, Snowflake and dbt for warehousing and modeling, Prefect for orchestration, and Sigma for BI. You'll partner closely with the BI team, which governs all data model builds, and with product engineering to make sure every dashboard, metric, and product decision runs on data the company trusts.

• Co-own our dbt + Snowflake platform (700+ models, Prefect, Fivetran)

• Isolate warehouse workloads and safeguard model dependencies to catch upstream data failures before they break production features

• Develop shared observability pipelines, prompt evaluation harnesses, and cost-tracking tooling for our LLM stack

• Set the technical standard for the team, mentoring engineers on Python code quality, CI/CD workflows, and reliable system design

• 6+ years operating production data platforms with hands‑on ownership of dbt + cloud-warehouses (Snowflake strongly preferred)
• 6+ years strong production Python and software‑engineering fundamentals (typing, testing, code review, and automated deployment)
• A default mindset geared toward systems architecture, API contracts, and failure modes
• The instinct to manage cloud spend, warehouse performance, and data quality without being asked
• People get better at their jobs working with you

• You've built backend infrastructure for production LLMs (e.g., observability frameworks, evaluation pipelines, or cost attribution)
• You have practical ML engineering experience

• Competitive salary range of $185,00 - $220,000 CAD

• Health, Dental, and Vision Insurance
• Life and Disability Insurance
• Flexible PTO
• Mental Wellbeing Options
• Robust Holiday Schedule
• Retirement savings plan
• Growth Opportunities
• Significant growth trajectory - you will be building something that matters, at scale, right now.

Dutch is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, disability, age, or any other protected status. Accommodations are available on request for candidates taking part in all aspects of the selection process.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.