Jetson is on a mission to accelerate the transition of 100 million homes across North America away from fossil fuels toward sustainable energy use. Homes are one of the largest sources of carbon emissions, yet adoption of solutions like heat pumps remains slow due to cost and complexity. Jetson is solving this by building the first fully vertically integrated home electrification company—making clean energy simple, transparent, and affordable.

We rely heavily on technology, automation, and data to scale this impact. At Jetson, we value people who are excellent at their craft, curious about new tools (including AI), and motivated to continuously improve how work gets done. Jetson has gone from $20M to $100M in run‑rate sales this year.

That growth is being driven by a marketing org that is getting more sophisticated every quarter—performance marketing across Meta, Google, direct mail, OOH, and CTV; a solid in‑house creative studio; The data layer underneath all of that unlocks the next leg of growth. We've built out a real data lake—Iceberg on AWS Glue, dbt for transformation, Fivetran for ingestion, Metabase for BI. Meaningful work remains to refine it, fill the gaps, integrate the next wave of sources, and ensure the team has accurate real‑time data they can trust.

You'll own the marketing data lake end to end—the integrations that bring data in, the bronze/silver/gold models that shape it, the dashboards that surface it, and the analysis that turns it into decisions the team actually makes. The marketing data lake. You own the bronze/silver/gold models, the schemas, the freshness, the cost, and the contract with downstream consumers.

Every new channel, vendor, or partnership comes with a new data source—Meta and Google Ads, HubSpot, direct mail vendors, CTV platforms, call tracking, utility and financing partners. You stand up the Fivetran connectors (or write the Python when Fivetran can't), land the raw data in bronze,



model it through silver and gold, and surface it where it needs to be. Multi‑touch attribution across paid, organic, direct mail, OOH, CTV, partnerships, referrals, and field sales.

Identity resolution across web, CRM, and offline conversions. Geo holdouts, conversion lift studies, direct mail incrementality, on‑site experiments. You'll build the data infrastructure that makes them trustworthy—assignment logging, variant tracking, exposure data—and you'll do the analysis to tell the team whether the result is real.

The models that tell us what a customer is worth, what each channel is actually delivering, and where the next dollar should go. The Metabase dashboards leadership, marketing, and sales check daily. The marketing, performance, and exec teams will bring you real questions all the time—whether a campaign worked, why one market is lagging another, where we should be investing more.

You answer those questions with data, clearly, and with enough context that the team trusts the answer. 5+ years working on marketing, growth, or revenue data. Pure backend or pure analytics engineering backgrounds aren't quite right — we need someone who's been close enough to the marketing problem to know where the hard parts are. ~ You've shipped real production dbt projects, understand medallion architecture, and have opinions on testing, contracts, and model design. Hands‑on with a modern data lake or warehouse stack.

Equivalent work on Snowflake, BigQuery, or Databricks with comparable tooling translates directly. ~ Strong SQL and Python. Deep SQL—you think in SQL, not around it.



Python for the integrations Fivetran can't handle, for the stats SQL can't do cleanly, and for everything in between. ~ You understand the difference between last‑click, MTA, MMM, and incrementality testing, and you know why each one is useful and where each breaks. ~ Geo tests, holdouts, conversion lift, incrementality—pick at least one and have a real story about it. ~ You make thoughtful design decisions, not just drop fields onto a canvas.

You care about data quality the way good software engineers care about test coverage. Tests, contracts, monitoring, lineage. You don't ship a model without thinking about how you'll know when it breaks. ~ AI‑native.

You've used Claude Code, Cursor, or similar tools to ship real work. You think about how AI changes the leverage of a one‑person data team, not whether it does. ~ You communicate clearly with non‑technical marketers. Most of your stakeholders won't speak SQL.

Direct experience with our stack—Iceberg, AWS Glue, Fivetran, dbt, Metabase.

Experience with marketing‑specific sources: Meta and Google Ads APIs, HubSpot, call tracking platforms, direct mail vendor data, CTV reporting.

Experience with identity resolution and customer data platforms. This is the highest‑leverage data hire we'll make this year. The decisions made off the data you build will move millions of dollars in ad spend, shape channel mix, and define how we measure the business as we scale to $1B.

And you'll be doing it with a marketing org that has the budget, the ambition, and the technical literacy to use what you build. Jetson is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, national origin, age, disability, genetic information, sexual orientation, or gender identity. If you require accommodation at any stage of the recruitment process, please contact us. #

📌 Lead Marketing Data & Analytics Engineer (Vancouver)
🏢 Jetson
📍 Vancouver