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. The Community you will join: Airbnb’s Data Authoring Platform exists to turn raw data into decision-grade insight — fast, reliable, and at scale. We provide a single, paved path for 4,000+ internal data producers and consumers to model, transform, and serve trustworthy data and metrics that power everything from A/B experimentation to executive dashboards. What we own The end-to-end data-authoring framework that cuts through pipeline boiler-plate and accelerates iteration, pipeline testing, and validation. Airbnb’s semantic layer & metrics platform, ensuring one definition of truth across the company. Tooling for reliability, governance, and cost-efficiency including automated testing, anomaly detection, and right-sized materialization. The difference you will make: As a member of this team you would be working with talented engineers on building infrastructure to solve cutting edge semantic layer and data transformation problems. Our platform provides democratized access to data. You will make it easier for thousands of internal users to build and consume high quality data models, data pipelines, and business critical metrics to enable tactical and strategic decision making at all levels of Airbnb across product, finance, operations and other areas. In particular, engineers, designers and other product leaders will leverage the tools you work on to explore and develop new product experiences from ideation to implementation at scale. They will be able to experiment with product concepts and make the correct choice about what is right for our customers. We believe data is the voice of our customers at scale. The tools you build will help improve the Airbnb product for every guest and host.
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Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
Number of Employees
1,001-5,000 employees