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, PlushCare, Nasty Gal) with expertise in scaling enterprises (TripAdvisor, Walmart, BARK). Featured in TechCrunch, Forbes, Wired, and Axios, Dutch is setting the standard for quality, accessibility, and compassion in pet care.
THE ROLE:
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.
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Build, maintain, and optimize ELT pipelines using dbt, Prefect, Fivetran, and Airbyte
Own core datasets and dbt models in Snowflake in partnership with the BI and product engineering teams
Lead infrastructure modernization, including orchestration and dbt version upgrades, flow runtime reduction, and Snowflake compute and storage cost optimization
Drive warehouse security and governance work, including access controls, remediation of security assessment findings, and PII handling
Implement data quality tests, freshness checks, observability, and alerting across critical pipelines
Troubleshoot pipeline failures and data incidents, and drive root-cause fixes rather than patches
Own the event pipeline from instrumentation through Segment into Amplitude and Snowflake, including sources, destinations, and reverse ETL
Define and publish a typed event schema and governance workflow that frontend teams implement against, so event data stays consistent across web and mobile
Design and validate tracking plans for new features and surfaces, and confirm events flow reliably end to end
Debug identity resolution, user properties, and experiment assignment issues across Segment, Amplitude, and downstream tools
Build Amplitude charts, funnels, and dashboards that help product teams answer their own questions
Deliver production Agentic AI solutions for internal and external consumption which are grounded, scalable and secure.
Deliver ready-to-consume data marts that power product features such as recommendations, plus the baselines to measure them
Supply reliable, well-governed data to AI features that improve the member experience and vet workflows
Develop shared observability pipelines, prompt evaluation harnesses, and cost-tracking tooling for our LLM stack
Contribute to the semantic layer that lets AI tools answer data questions accurately
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6+ years of experience in data engineering or hybrid data roles
Strong proficiency in SQL and Python
Deep hands-on experience with Snowflake or a comparable cloud data warehouse
Production experience with dbt, including testing, documentation, and CI
Experience with customer data platforms and event pipelines, ideally Segment, including tracking plan design and destination debugging
Experience with product analytics tools, ideally Amplitude, including funnels, experiments, and identity resolution
Experience with orchestration tools such as Prefect, Airflow, or Dagster
Comfortable with Git-based workflows and CI/CD tools such as GitHub Actions
Experience working with cloud infrastructure (AWS, GCP, or Azure)
Familiarity with BI tools like Sigma, Looker, or Tableau
- Bonus: experience with semantic layers, data contracts, or supporting ML and LLM applications in production
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You’ve built AI solutions in production while having developed an intuition for when AI is not the answer
You are as passionate for the analysis of data as you are for building efficient pipelines to process it.
You take ownership of data reliability and treat trust in the numbers as the product
You're self-directed and comfortable managing your own priorities in a fast-moving environment
You care deeply about data quality, reproducibility, and documentation
You believe good instrumentation is what makes analytics and AI work
You love animals
Competitive salary range between $185K - $220K CAD
Hybrid working location
Health, Dental and Vision Insurance
Life and Disability Insurance
Flexible PTO
Mental Wellbeing Options
Robust Holiday Schedule
Registered Retirement Savings Plan
Growth Opportunities!
- Pets First – business and medical decisions are always guided by the pet’s best interest. We’ll never compromise on pet health and we’re all here because we care about their well-being
- Agile Like a Cat – We have a bias toward swift action, while maintaining quality and accuracy. For us, that means being able to turn on a dime, like a cat, analyze our options – even ones that may not be on the table – then execute without perfection getting in the way
- Creativity is our Catnip – Creativity feeds us and helps us push boundaries to always find better solutions, making the complex more accessible and easier to understand
- Be the Human Your Dog Thinks You Are – Be kind, show care for your colleagues, and even if you’re an expert - give others context, reinforce the positive, and help them understand.
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.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. 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.
