Lead 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, 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.

WHAT YOU'LL DO:

Data Engineering & Infrastructure (50%)

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

Event Tracking & Product Analytics (30%)

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

Analytics & AI Support (20%)

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

Contribute to the semantic layer that lets AI tools answer data questions accurately

WHAT YOU'LL BRING:

5+ 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

WHY YOU'RE A GREAT FIT:

Why You're a Great Fit

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

WHY WORK FOR DUTCH?

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'S GUIDING PRINCIPLES:

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.

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.