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Added 6 days ago
Credit Contract Appointment
Mount Royal University
Calgary, AB
Contract
…Chain Management and Aviation oversees delivery of the Minor in Data Analytics and core business law and statistics courses required for all BBA…
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HR Talent Intern
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Full-time
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$100,000 to $130,000 CAD / year
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…cross-functional teams, and gain hands-on experience in strategy planning, data analytics, digital customer journeys, and national campaign…
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Associate Director, Senior Quality Assurance Tester
RBC
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Calgary, AB
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Lead Data/Analytics Engineer
Dutch
Vancouver, BC
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…
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TD
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Added 22 days ago
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Dutch

Lead Data/Analytics Engineer

Vancouver, BC, Canada

Pay: Competitive salary range between $185K - $220K CAD
Experience: 6+ years of experience in analytics engineering, data engineering, or hybrid data roles
Posting language: English
Posted: Sep 16, 2026

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Original job description

About Us

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.

The Role

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.

\nWHAT YOU'LL DO:

Product Analytics & Experimentation (40%)

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
Design and validate tracking plans for new features and surfaces, and confirm events flow end to end before launch
Partner with product managers to design experiments in Amplitude: define hypotheses, select metrics, set guardrails, and size tests
Build Amplitude charts, funnels, cohorts, and dashboards that help product teams answer their own questions without waiting on you
Debug identity resolution, user properties, and experiment assignment issues across Segment, Amplitude, and downstream tools
Analyze experiment results and present findings to stakeholders with clear recommendations

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
Lead infrastructure modernization: orchestration and dbt version upgrades, flow runtime reduction, 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

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
Define and document the company’s core metrics so every team calculates things the same way

WHAT YOU'LL BRING:

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
Experience with orchestration tools such as Prefect, Airflow, or Dagster
Comfortable with Git-based workflows and CI/CD tools such as GitHub Actions
Uses AI tools (code assistants, LLMs, etc.) as part of daily work and can show how
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)

WHY YOU'RE A GREAT FIT:

You treat trust in the numbers as the product. When a metric is wrong, you feel it personally
You can build an event taxonomy from scratch and also explain to a PM why their experiment needs a bigger sample size
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’re self-directed and comfortable managing your own priorities in a fast-moving environment
You care about data quality, reproducibility, and documentation because you’ve been burned by their absence
You love animals

WHY WORK FOR DUTCH?

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!

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.

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More about this job

Responsibilities

The Lead Data/Analytics Engineer will own the event instrumentation pipeline, build data models, and partner with product managers to design and analyze experiments. They will also manage ELT pipelines, optimize data infrastructure, and define core company metrics to ensure data trust and consistency.

Requirements

Candidates must have 6+ years of experience in analytics or data engineering with strong proficiency in SQL and Python. Deep hands-on experience with Snowflake, dbt, and product analytics platforms like Amplitude is required.

Skills

SQL
Python
Snowflake
dbt
Amplitude
Segment
Data Engineering
Product Analytics
A/B Testing
Prefect
Data Modeling
Git
CI/CD
Data Governance
ETL/ELT
Metrics Definition

Benefits

Health Insurance
Dental Insurance
Vision Insurance
Life Insurance
Disability Insurance
Flexible PTO
Mental Wellbeing Options
Robust Holiday Schedule
Growth Opportunities

Visa sponsorship

Not detected in the job text

Keywords

Data Engineering
Analytics Engineering
Snowflake
dbt
Amplitude
Segment
Prefect
Sigma
SQL
Python
A/B Testing
Event Instrumentation
Data Modeling
Data Governance
ETL
ELT
Reverse ETL
Identity Resolution
CI/CD
GitHub Actions
Semantic Layer
Data Quality
Observability
Product Analytics
Telemedicine
Veterinary Care
Data Marts
Cloud Data Warehouse
Git
AI Tools

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