# Senior Staff Data Engineer, Foundational Data at Airbnb

- Company: Airbnb
- What the company does: Get an Airbnb for every kind of trip → 8 million vacation rentals → 2 million Guest Favorites → 220+ countries and regions worldwide. Backed by General Catalyst, Greylock and Kleiner Perkins.
- Company website: http://www.airbnb.com/
- Type: Startups
- Level: Senior
- Location: United States
- Work setup: On-site
- Posted: 2026-09-22
- Apply by: 2026-11-06
- Apply: https://careers.airbnb.com/positions/8224032?gh_jid=8224032
- Page: https://www.1752.vc/careers/jobs/airbnb-senior-staff-data-engineer-foundational-data/

## About the role

As a Senior Staff Data Engineer, you are the technical leader for this team and the person who sets its direction. This is a hands-on role with no direct reports: you will own the long-term data architecture and you will build against it, from the Airflow-orchestrated pipelines that ingest telemetry, logs, and billing data through to the dimensional models and Minerva definitions that thousands of people at Airbnb reason with.

## What they're looking for

- Provide technical leadership across the team's data engineering and analytics engineering work, spanning cloud cost, traffic & bots, and infrastructure intelligence
- Define and own the multi-year data strategy and architecture for Airbnb's foundational data assets, and build the cross-org consensus needed to fund and execute it
- Own how Airbnb measures its AI: the unit economics of training and serving our own models, GPU fleet utilization, and the cost and adoption of developer AI tooling
- Design and build the datasets that integrate cost, utilization, performance, and reliability signals across Airbnb's infrastructure fleets, starting from a blank page
- Stay hands-on in the pipelines and models you architect, close enough to the build to catch the problems design reviews miss
- Influence and coach a distributed team of Data Engineers and Analytics Engineers, raising the quality bar through design and code review and scaling it by building the frameworks and automated checks other teams adopt

Tags: Software Engineering