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:
Marketplaces Data and AI Org is a group of passionate machine learning, data, and analytics engineers responsible for creating new data products that drive quality, understanding and bookings. You’ll be part of the overall Guest and Host organization that is responsible for the Airbnb web and native apps used by hundreds of millions of our guests and Hosts.
The Users and Contextualization Data & AI team, a vital part of the Marketplace Data & AI, focuses on building foundational data and systems to provide Airbnb teams with a deeper understanding of key domains. Specifically, this team concentrates on user data (Guest & Host), aiming to create high-quality, foundational, and well-governed user data and insights. These insights are crucial for enabling personalized and context-aware experiences that enhance trip quality both on and off the Airbnb platform, ultimately helping Airbnb better understand and serve its users throughout their journey.
The Difference You Will Make:
The quality of data related to Users, Listings, and Marketplaces is foundational to Airbnb's success, directly impacting our products and business. To enhance our data foundation and maximize the value derived from our data and machine learning models, we are significantly expanding our Data Engineering efforts in these crucial areas.
A key opportunity lies in deepening our understanding of Airbnb users to improve the experience for both Hosts and Guests. As a Data Engineer focusing on this area, you will be responsible for executing these initiatives. This involves close collaboration with backend and analytics teams, product partners, and other data and ML engineers. Furthermore, you will have the chance to work directly with ML engineers on developing integrated NRT data and machine learning solutions. Ultimately, your contributions will lead to a better comprehension of Airbnb users and enhance their overall end-to-end product experience.
A Typical Day:
- Architect and productionize batch and real-time data systems to power products for Airbnb Guests and Hosts, or our business/sales teams.
- Ensure the quality, performance, and stability of data systems with thoughtful quality systems and monitoring
- Tune, productionize, and optimize data systems powering Airbnb products
- Collaborate with product teams to extract data requirements from product specs to develop scalable and flexible systems
- Collaborate and build relationships with partner engineering including backend/client, data science, analytics, and ML
Your Expertise:
- 9+ years of relevant industry experience with a Bachelor’s and/or Master’s degree in CS/EE, or equivalent experience, or 6+ years of experience with a PhD
- Experience collaborating with client, backend, ml, analytics teams, product and business partners
- Experience designing and deploying high performance Batch & NRT systems with reliable monitoring and logging practices.
- Effectively work across team boundaries to establish overarching data architecture, data flow, and provide guidance to individual teams.
- Strong knowledge of relational databases and query authoring (SQL) and streaming solutions.
- Strong expertise with Python / Scala / Spark and operating on data at the petabyte scale.
- Excellent communication skills, both written and verbal.
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.
Our Commitment To Inclusion & Belonging:
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: [email protected]. 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.
How We'll Take Care of You:
Our job titles may span more than one career level. The actual base pay is dependent upon many factors, such as: training, transferable skills, work experience, business needs and market demands. The base pay range is subject to change and may be modified in the future. This role may also be eligible for bonus, equity, benefits, and Employee Travel Credits.
Top Skills
What We Do
Airbnb is a community based on connection and belonging—a community that was born in 2008 when two hosts welcomed three guests to their San Francisco home, and has since grown to 4 million hosts who have welcomed over 800 million guest arrivals to about 100,000 cities in almost every country and region across the globe. Hosts on Airbnb are everyday people who share their worlds to provide guests with the feeling of connection and being at home. At Airbnb, we believe that hosts, guests and the communities where we operate are all stakeholders we have a responsibility to serve, and that by serving them alongside our employees and investors, we will build an enduringly successful company.
Gallery
