Lead Data/Analytics Engineer (Vancouver)

Lead Data/Analytics Engineer (Vancouver)

16 Oct
|
Online Veterinarians
|
Vancouver

16 Oct

Online Veterinarians

Vancouver

Dutch 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.

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. We’re looking for a Lead Data/Analytics Engineer to own how Dutch measures its product and business.

You’ll run the event instrumentation pipeline, build the models and metrics layers that teams use to make decisions, and sit shoulder-to-shoulder with product managers to design and analyze experiments. When data engineering work needs doing, you can pick it up without missing a beat. This is a senior individual contributor role.

You’ll work across 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 with the BI team (which governs all data model builds) and with product engineering to make sure every dashboard, metric, and experiment runs on data the company trusts. Own the event pipeline from instrumentation through Segment into Amplitude, Iterable, and Snowflake, including sources, destinations, and reverse ETL Define and publish a typed event schema and governance workflow that frontend teams build against,



so event data stays consistent across web and mobile Build Amplitude charts, funnels, cohorts, and dashboards that help product teams answer their own questions without waiting on you Data Engineering & Infrastructure (35%) Build, maintain, and optimize ELT pipelines using dbt, Prefect and Fivetran Own core datasets and dbt models in Snowflake in partnership with the BI and product engineering teams 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 Metrics, Semantic Layer & AI Data Products (25%) Deliver ready-to-consume data marts that power product features such as recommendations and personalization, plus the baselines to measure them Contribute to the semantic layer that gives BI tools and AI features a single source of truth for metric definitions Supply reliable, well-governed data to AI features that improve the member experience and vet workflows 6+ years of experience in analytics engineering, 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 product analytics platforms, ideally Amplitude, including funnels, cohorts, experiment configuration, and identity resolution ~ Experience with customer data platforms and event pipelines, ideally Segment, including tracking plan design, destination management,



and debugging ~ Demonstrated experience designing and analyzing A/B tests or product experiments ~ Uses AI tools (code assistants, LLMs, etc.) Familiarity with BI tools like Sigma, Looker, or Tableau ~ Bonus: experience with semantic layers, data contracts, ML/LLM applications in production, or cloud infrastructure (AWS, GCP, or Azure) You’re as comfortable writing dbt models as you are reviewing an experiment readout with a product lead You use AI tools every day to move faster and expect to keep pushing that boundary You care about data quality, reproducibility, and documentation because you’ve been burned by their absence You love animals WHY WORK FOR DUTCH?

Market-competitive salary range between $185K - $220K CAD Health, Dental and Vision Insurance Life and Disability Insurance Flexible PTO Robust Holiday Schedule Registered Retirement Savings Plan DUTCH'S GUIDING PRINCIPLES Pets First – business and medical decisions are always guided by the pet’s best interest.

Agile

Like a Cat – We have a bias toward swift action, while maintaining quality and accuracy. 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. If you would like more information about how your data is processed, please contact us.

📌 Lead Data/Analytics Engineer (Vancouver)
🏢 Online Veterinarians
📍 Vancouver

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