What you'll do with us

Own the mart layer. Define the dimensional models, fact tables, and metrics that serve as Range's single source of truth. Make the calls on grain, naming conventions, and how business logic gets encoded in dbt.
Get alignment on what we measure. Partner with business leaders across retention, sales, marketing, planning, and finance to define key KPIs and get sign-off on the definitions. Document them so nobody has to ask "is this the right number" again.
Build for trust. Implement business-logic tests in dbt, freshness alerting, and the documentation that lets stakeholders use the data without having to ask you what it means.
Build the dashboards the whole company runs on. Own the small set of certified dashboards that drive OKRs, board reviews, and exec decisions in Sigma. Make sure they match the mart layer exactly so the numbers don't drift. Set the conventions that distinguish "certified" from "exploratory" so business users know what to trust.
Activate data where the business works. Build the operational data pipelines that get trusted data into the tools members and the business touch: Loops, Outreach, Salesforce, the application. We're open on tooling (Hightouch, Census, or a continued lightweight DIY approach); your judgment on what fits Range's scale and budget will help shape the call.
Architect for governance in the mart layer and the dashboards built on top of it. Make sure PII classifications, access controls, and audit trails set at the source propagate cleanly through dbt and into BI tooling, including dashboard-level access controls and the row-level security that lets, for example, a planner see only their own clients. The business should be able to use data responsibly by default.

What we're looking for

5+ years of experience in analytics engineering, data engineering, or a hybrid role, including time owning a mart layer end-to-end.
Production experience with a modern data toolset including dbt, a cloud warehouse or lakehouse, and modern orchestration tooling (we use Fivetran and GitHub Actions, but comparable experience is fine).
Track record of partnering directly with business leaders to define metrics and get sign-off on definitions, not just executing on someone else's spec.

What will set you apart

You've owned data activation end-to-end. Built reverse ETL pipelines that business teams actually depend on, with the testing and monitoring discipline that prevents the kind of mistakes that affect customers.
You leverage AI as a force multiplier in your own work. You've developed real instincts for when to lean on it, when to verify, and where it actually accelerates modeling, metric definition, and debugging.
You've built data infrastructure under real regulatory constraints at an RIA, broker-dealer, bank, or anywhere SOC 2 or Reg S-P shaped what you built and how.

Benefits

Health & Wellness: 100% employer-covered medical insurance for employees (75% for dependents), plus dental and vision coverage
401(k): Retirement savings program to support your future
Paid Time Off: Dedicated time to reset and recharge plus most federal holidays
Parental Leave: Comprehensive leave policy for growing families
Meals: Select meals covered throughout the week
Fitness: Monthly movement stipend
Equity & Career Growth: Early exercise eligibility and a strong focus on professional development
Annual Compensation Reviews: Salary and equity refreshes based on performance
Boomerang Program: After two years at Range, you can take time away to start your own company. We’ll hold your spot for 6 months - and pause your equity vesting, which resumes if you return