{"id":1702759,"url":"https://alion.io/job/jetson-home-inc-lead-marketing-data-analytics-engineer","title":"Lead Marketing Data & Analytics Engineer","company":{"id":3799957,"name":"Jetson Home","domain":"jetsonhome.com","url":"https://alion.io/company/jetsonhome","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"A","score":100,"open_postings":13,"ghost_share":0,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":52,"computed_at":"2026-10-25T05:49:26Z"}},"role":"Data Science","role_family":"Data Science","seniority":"lead","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Vancouver, Canada"],"countries":["CA"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":75000,"max_usd":149000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":10},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS Glue","optional":false},{"name":"Claude Code","optional":false},{"name":"Cursor","optional":false},{"name":"Databricks","optional":false},{"name":"dbt","optional":false},{"name":"Fivetran","optional":false},{"name":"Google BigQuery","optional":false},{"name":"Metabase","optional":false},{"name":"Python","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-06-01T23:20:24Z","employer_posted_date":"2026-07-30","last_verified_at":"2026-10-25T21:17:05Z","board_verified":true,"closed_at":null,"days_open":145,"trust":{"level":"ok","repost_count":0,"flags":[],"days_open":145},"description":"About Jetson\nJetson is on a mission to accelerate the transition of 100 million homes across North America away from fossil fuels toward sustainable energy use. We believe in a future that is 100% electric and 100% better.\nHomes 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.\nWe 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.\nThe Opportunity\nJetson has gone from $20M to $100M in run-rate sales this year. We're on track to end the year around $250M and scaling toward $1B. 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 strong in-house creative studio; an emerging partnerships function; and an experimentation and lifecycle team that needs sharper attribution and faster feedback loops to keep compounding.\nThe data layer underneath all of that is what 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. The core framework exists. 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.\nYou'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.\nThis is a full-stack role. On any given week you might be standing up a new Fivetran connector for a direct mail vendor, writing the dbt models to land it cleanly into our medallion architecture, building the Metabase dashboard for the performance team to use, and then pulling the analysis together to tell them whether the campaign worked. There's no handoff between the engineering and the analysis - you do both.\nYou'll work closely with the performance marketing team (who'll lean on you for measurement and incrementality), the growth and experimentation team (who'll need experiment infrastructure and LTV models), and our core data engineering team (who own the broader platform you're building on top of).\nWhat You'll Own\nThe marketing data lake. Iceberg, Glue, dbt, Fivetran, Metabase. You own the bronze/silver/gold models, the schemas, the freshness, the cost, and the contract with downstream consumers. If a number is wrong in a dashboard, you're the one who finds out why and fixes it at the source.\nSource integrations. 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.\nAttribution and measurement. Multi-touch attribution across paid, organic, direct mail, OOH, CTV, partnerships, referrals, and field sales. Identity resolution across web, CRM, and offline conversions. You'll design and maintain the attribution models the team relies on day to day, and the incrementality work that informs bigger budget decisions.\nExperimentation infrastructure and readout. 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.\nLTV, conversion, and channel ROI. The models that tell us what a customer is worth, what each channel is actually delivering, and where the next dollar should go.\nDashboards and self-serve. The Metabase dashboards leadership, marketing, and sales check daily. Built so the team can answer their own questions when they can, and knows when to come find you when they can't.\nBeing the analytics partner to the GTM team. 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.\nWhat We're Looking For\n5+ 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.\nDeep dbt fluency. You've shipped real production dbt projects, understand medallion architecture, and have opinions on testing, contracts, and model design. dbt is non-negotiable.\nHands-on with a modern data lake or warehouse stack. Iceberg, Glue, Fivetran, and Metabase are our tools, but we care about the patterns more than the specific vendors. Equivalent work on Snowflake/BigQuery/Databricks with comparable tooling translates directly.\nStrong 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.\nYou've built attribution before, not just consumed it. You understand the difference between last-click, MTA, MMM, and incrementality testing, and you know why each one is useful and where each one breaks.\nYou've supported experimentation at scale. Geo tests, holdouts, conversion lift, incrementality - pick at least one and have a real story about it.\nYou build dashboards that get used. You make thoughtful design decisions, not just drop fields onto a canvas. You know the difference between a dashboard that answers questions and one that creates them.\nYou 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.\nAI-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.\nYou communicate clearly with non-technical marketers. Most of your stakeholders won't speak SQL. You can explain why a number changed without making them feel small for asking.\nNice to Have\nDirect experience with our stack - Iceberg, AWS Glue, Fivetran, dbt, Metabase.\nExperience with marketing-specific sources: Meta and Google Ads APIs, HubSpot, call tracking platforms, direct mail vendor data, CTV reporting.\nExperience at a company that scaled from low nine figures to ten figures in revenue.\nExperience with identity resolution and customer data platforms.\nWhy This Role\nThis 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. The infrastructure work is real - there's a clean greenfield problem here that few companies our size get to solve properly. 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.\nBenefits:\nDental Care, Vision Care & Life Insurance premiums fully paid by Jetson\nExtended Health Care\nDisability Insurance\nEducation Support\nParental Leave Top Up\nDo you feel like you don't have everything that's listed above but can still do the job? If you have the core skills and experience that we're looking for and are willing to use your talent to learn the rest, we encourage you to apply!\nU.S. Roles 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 during the recruitment process, please contact us.\nCanada Roles Jetson is an equal opportunity employer committed to inclusive hiring. We do not discriminate on any ground protected under applicable human rights legislation. 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