Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way.
Staff Data Engineer, Enterprise Core Datasets, Tech Foundations
The Community You Will Join:
At Airbnb, trustworthy data powers business decisions, product innovation, and operational efficiency. The Enterprise Core Datasets team builds the technical data foundations that help Airbnb understand how the business operates, where resources are invested, and how new technologies create value.
Our scope spans high-impact datasets across the organization: measuring AI adoption, usage, and cost; understanding revenue, costs, and profitability through Unit Economics; integrating non-platform data from Jira and other enterprise applications; and powering critical company metrics such as Gross Booking Value and Revenue.
You will join a team that values thoughtful architecture, engineering rigor, and operational ownership. We collaborate with engineering, product, analytics, finance, and business teams to turn complex requirements into dependable, reusable data assets. We welcome strong engineers who are curious about the business and eager to solve problems across diverse domains.
The Difference You Will Make:
As a Staff Data Engineer, you will provide hands-on technical leadership for datasets that shape decisions across Airbnb. Your work will help the organization measure AI adoption and spending, understand the economics of its products, and connect enterprise application data to meaningful business and operational insights.
You will lead complex initiatives from problem definition and architectural design through implementation, validation, and production operations. You will build extensible data foundations that accommodate new AI tools, products, cost categories, and enterprise systems while maintaining clear definitions, traceability, and reliable historical data.
Operating in an ecosystem that includes petabyte-scale datasets, you will improve correctness, freshness, performance, and cost efficiency. You will develop reusable frameworks that simplify source onboarding, reduce duplicated logic, and make critical data easier to discover and use. Through mentorship and contributions to Airbnb’s shared data engineering tools and standards, your impact will extend across the data community.
A Typical Day:
Your Expertise:
Experience with AI usage or cost measurement, cloud cost attribution, Unit Economics, enterprise application data, or financial and payments datasets is a plus. Familiarity with workflow orchestration, SQL transformation frameworks, and modern table formats such as Apache Iceberg is also valuable.
Your Location:
This position is US - Remote Eligible. The role may include occasional work at an Airbnb office or attendance at offsites, as agreed to with your manager. While the position is Remote Eligible, you must live in a state where Airbnb, Inc. has a registered entity. Click here for the up-to-date list of excluded states. This list is continuously evolving, so please check back with us if the state you live in is on the exclusion list. If your position is employed by another Airbnb entity, your recruiter will inform you what states you are eligible to work from.
Reasonable Accommodations: We are committed to providing reasonable accommodations throughout the recruitment process for applicants with disabilities. If you need assistance, or an accommodation, please let your recruiter know once you are contacted about a role.
A Note on Recruiting Scams: Scammers sometimes pose as Airbnb recruiters to get money or personal information from candidates. A few things that will always be true for Airbnb’s hiring process: our open roles are posted on Airbnb’s Career’s Page at careers.airbnb.com, and our recruiters correspond only from @airbnb.com or @ext.airbnb.com email addresses. Our recruiters will never ask for your Social Security number, bank account details, passport, or payment app information while you are interviewing. We’ll also never ask you to pay a fee, send money, deposit or cash a check, or purchase work-related equipment (such as a company laptop) during the interview process. We encourage candidates to remain vigilant of these recruiting scams and not share sensitive information if you do not believe an individual is actually affiliated with Airbnb.