Data Engineering & Infrastructure (50%)
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Build, maintain, and optimize ELT pipelines using dbt, Prefect, Fivetran, and Airbyte
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Own core datasets and dbt models in Snowflake in partnership with the BI and product engineering teams
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Lead infrastructure modernization, including orchestration and dbt version upgrades, flow runtime reduction, and Snowflake compute and storage cost optimization
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Drive warehouse security and governance work, including access controls, remediation of security assessment findings, and PII handling
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Implement data quality tests, freshness checks, observability, and alerting across critical pipelines
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Troubleshoot pipeline failures and data incidents, and drive root-cause fixes rather than patches
Event Tracking & Product Analytics (30%)
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Own the event pipeline from instrumentation through Segment into Amplitude and Snowflake, including sources, destinations, and reverse ETL
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Define and publish a typed event schema and governance workflow that frontend teams implement against, so event data stays consistent across web and mobile
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Design and validate tracking plans for new features and surfaces, and confirm events flow reliably end to end
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Debug identity resolution, user properties, and experiment assignment issues across Segment, Amplitude, and downstream tools
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Build Amplitude charts, funnels, and dashboards that help product teams answer their own questions
Analytics & AI Support (20%)
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Deliver ready-to-consume data marts that power product features such as recommendations, plus the baselines to measure them
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Supply reliable, well-governed data to AI features that improve the member experience and vet workflows
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Contribute to the semantic layer that lets AI tools answer data questions accurately
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5+ years of experience in data engineering or hybrid data roles
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Strong proficiency in SQL and Python
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Deep hands-on experience with Snowflake or a comparable cloud data warehouse
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Production experience with dbt, including testing, documentation, and CI
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Experience with customer data platforms and event pipelines, ideally Segment, including tracking plan design and destination debugging
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Experience with product analytics tools, ideally Amplitude, including funnels, experiments, and identity resolution
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Experience with orchestration tools such as Prefect, Airflow, or Dagster
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Comfortable with Git-based workflows and CI/CD tools such as GitHub Actions
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Experience working with cloud infrastructure (AWS, GCP, or Azure)
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Familiarity with BI tools like Sigma, Looker, or Tableau
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Bonus: experience with semantic layers, data contracts, or supporting ML and LLM applications in production
Why You're a Great Fit
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You take ownership of data reliability and treat trust in the numbers as the product
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You're self-directed and comfortable managing your own priorities in a fast-moving environment
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You care deeply about data quality, reproducibility, and documentation
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You believe good instrumentation is what makes analytics and AI work
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You love animals
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Competitive salary range of $185,00 - $220,000 CAD
- Health, Dental, and Vision Insurance
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Life and Disability Insurance
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Flexible PTO
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Mental Wellbeing Options
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Robust Holiday Schedule
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Retirement savings plan
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Growth Opportunities
- Significant growth trajectory — you will be building something that matters, at scale, right now.
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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
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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
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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
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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.