Contract Analytics Engineer

The Role Comfy's analytics stack is young and moving fast: Snowflake and dbt, Airbyte and Airflow, PostHog events, Stripe and Metronome billing, Hex on top. It was stood up quickly by our backend team and interim help, and it now powers real decisions — revenue pacing, activation funnels, finance close, enterprise deals. We need immediate support on growth analytics and this role is the engineering muscle behind that: keep the data layer true, ship the models, troubleshoot. This is a hands-on contract role with real authority. You'll own the dbt project day to day, be the person who reviews and merges data-platform pull requests, and be the reason pipeline breakages get caught in hours instead of weeks. What You'll Do Own the dbt codebase: model, test, review, and merge — clear the PR queue and keep main greenOwn ingestion reliability across Airbyte/Airflow jobs (product DB, PostHog, Stripe, Metronome, HubSpot), with monitors and alerts so silent failures stop happeningTurn hand-built SQL into tested, scheduled dbt models — starting with finance's views, so monthly close runs off the warehouse, not heroicsBuild and certify the marts behind our dashboards: revenue and bookings, activation, team plans and workspaces, credit usageQA and extend event instrumentation with product engineers: tracking plans, event naming, identity stitching, catching the funnel events that don't fireUnblock the people waiting on data: growth's dashboard build, finance's close, enterprise's usage-analytics features You Might Be a Fit If You Are a senior analytics or data engineer for whom dbt + a cloud warehouse (we're on Snowflake) is home turfShip like a software engineer: git-native, strong PR reviewer, tests and CI by default — comfortable being the merge authority on a shared repoHave run orchestration and ingestion in production (Airflow, Airbyte or Fivetran) and can debug a pipeline end to end, from source API to dashboardHave modeled billing and subscription data before — Stripe required-level familiarity; usage-based billing (credits, metering, Metronome-style) is a strong plusKnow event analytics (PostHog, Segment, or GA4): tracking plans, event QA, identity resolutionWork at contractor pace: scoped outcomes, fast clock, crisp async communication with a small intense team Bonus Points You've been the data platform person at a PLG SaaS companyHex (or similar notebook-BI), Datadog monitors, TerraformYou know ComfyUI, or care about AI creative tools (Contract) Analytics Engineer — Data Platform The Role Comfy's analytics stack is young and moving fast: Snowflake and dbt, Airbyte and Airflow, PostHog events, Stripe and Metronome billing, Hex on top. It was stood up quickly by our backend team and interim help, and it now powers real decisions — revenue pacing, activation funnels, finance close, enterprise deals. We need immediate support on growth analytics and this role is the engineering muscle behind that: keep the data layer true, ship the models, troubleshoot. This is a hands-on contract role with real authority. You'll own the dbt project day to day, be the person who reviews and merges data-platform pull requests, and be the reason pipeline breakages get caught in hours instead of weeks. What You'll Do Own the dbt codebase: model, test, review, and merge — clear the PR queue and keep main greenOwn ingestion reliability across Airbyte/Airflow jobs (product DB, PostHog, Stripe, Metronome, HubSpot), with monitors and alerts so silent failures stop happeningTurn hand-built SQL into tested, scheduled dbt models — starting with finance's views, so monthly close runs off the warehouse, not heroicsBuild and certify the marts behind our dashboards: revenue and bookings, activation, team plans and workspaces, credit usageQA and extend event instrumentation with product engineers: tracking plans, event naming, identity stitching, catching the funnel events that don't fireUnblock the people waiting on data: growth's dashboard build, finance's close, enterprise's usage-analytics features You Might Be a Fit If You Are a senior analytics or data engineer for whom dbt + a cloud warehouse (we're on Snowflake) is home turfShip like a software engineer: git-native, strong PR reviewer, tests and CI by default — comfortable being the merge authority on a shared repoHave run orchestration and ingestion in production (Airflow, Airbyte or Fivetran) and can debug a pipeline end to end, from source API to dashboardHave modeled billing and subscription data before — Stripe required-level familiarity; usage-based billing (credits, metering, Metronome-style) is a strong plusKnow event analytics (PostHog, Segment, or GA4): tracking plans, event QA, identity resolutionWork at contractor pace: scoped outcomes, fast clock, crisp async communication with a small intense team Bonus Points You've been the data platform person at a PLG SaaS companyHex (or similar notebook-BI), Datadog monitors, TerraformYou know ComfyUI, or care about AI creative tools Additional Details Contract ~3–6 months, extension or conversion possibleStart ASAP