Airbnb was born in 2007 when two Hosts welcomed three guests to their San Francisco home, and has since grown to over 4 million Hosts who have welcomed more than 1 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.

Airbnb is a mission-driven company dedicated to helping create a world where anyone can belong anywhere. It takes a unified team committed to our core values to achieve this goal. Airbnb's various functions embody the company's innovative spirit and our fast-moving team is committed to leading as a 21st century company.

Launched in 2011 and acquired by Airbnb in 2019, HotelTonight is a stand-alone hotel-booking service focused on making last-minute trips easy and fun, offering travelers seamless booking and exceptional deals at top hotels. Through features such as Daily Drop, and personalized daily hotel deals, HotelTonight uses innovation to enable travelers to plan less and live more, while providing hotels new ways to sell inventory.

HotelTonight is a part of the Airbnb family. The hotels team at Airbnb is responsible for taking HotelTonight into  new directions and scale. The Airbnb platform also has hotel listings and the hotels team develops systems that help the Airbnb ecosystem have a wide selection of accommodation choices for our guests and the most effective tools for hosts to onboard, manage and thrive on Airbnb.

We are looking for talented Data Engineers who are excited about redefining what it means to do Data Engineering. Data Engineering is part of our Engineering org as we believe great Data Engineering depends on solid Software Engineering fundamentals. However, we also recognize that each Data Engineer has a unique blend of skills. Whether your strength is in data modeling or in stream processing, we want to talk to you.

• Develop and automate large scale, high-performance data processing systems (batch and/or streaming) to drive business growth and improve the product experience within the Airbnb Hotels Team.
• Evangelize high quality software engineering practices towards building data infrastructure and pipelines at scale. 
• Lead data engineering projects to ensure pipelines are reliable, efficient, testable, & maintainable
• Design our data models for optimal storage and retrieval and to meet critical product and business requirements.
• Contribute to shared Data Engineering tooling & standards to improve the productivity and quality of output for Data Engineers across the company.
• Collaborate with the teams in the USA and Germany.

• 3+ years of relevant industry experience.
• Bachelor’s and/or Master’s degree in CS/EE, or equivalent experience.
• Working with data at the petabyte scale.
• Experience designing, building and operating robust distributed systems.
• Experience designing and deploying high performance systems with reliable monitoring and logging practices.
• Effectively work across team boundaries to establish overarching data architecture, and provide guidance to individual teams.
• Working knowledge of relational databases and query authoring (SQL).
• Experience with Java / Scala.
• Excellent communication skills, both written and verbal.

Airbnb is committed to working with the broadest talent pool possible. We believe diverse ideas foster innovation and engagement, and allow us to attract creatively-led people, and to develop the best products, services and solutions. All qualified individuals are encouraged to apply. We strive to also provide a disability inclusive application and interview process. If you are a candidate with a disability and require reasonable accommodation in order to submit an application, please contact us at: reasonableaccommodations@airbnb.com. Please include your full name, the role you’re applying for and the accommodation necessary to assist you with the recruiting process. We ask that you only reach out to us if you are a candidate whose disability prevents you from being able to complete our online application.