Staff Data Engineer

Role Overview

We are looking for a Staff Data Engineer to own our end-to-end data platform — from raw event ingestion, through the warehouse, to the analytics marts that the business, product and marketing teams rely on every day.

What You Will Do

You will be the person who makes sure the numbers we make decisions on are accurate, fresh, reproducible and trusted. You will partner daily with engineering, analytics, product, growth and external data partners.

Why It Might Be a Fit

Success looks like: one canonical patient or customer key across every system, a well-modelled warehouse that answers business questions in SQL rather than spreadsheets, and a data platform that product, marketing and leadership genuinely trust.

Requirements

• 8–12 years in data engineering or analytics engineering at consumer-facing digital businesses
• Deep, hands-on experience designing and maintaining a warehouse on BigQuery, Snowflake or Redshift
• Production experience with dbt — Core or Cloud
• Fluent SQL — advanced window functions, CTEs, pivoting, session stitching, slowly-changing-dimension patterns
• Experience designing identity resolution in the warehouse
• Hands-on experience building marts for revenue, orders, subscriptions, cohorts, LTV and funnel analysis
• Python for data work — transformations, orchestration DAGs, small internal tools, and scripting around the warehouse
• Working knowledge of at least one workflow orchestrator — Airflow, Prefect, Dagster, or equivalent
• Comfort integrating warehouse output into reverse-ETL tooling (Polytomic, Hightouch or Census)
• A bias for data contracts and tests over heroics
• Experience operating under ambiguity

Benefits

• Competitive base salary
• Performance bonus
• Standard benefits