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.

The Community You Will Join

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.

Data is essential to the success of Airbnb and the use of derived data is increasing throughout Airbnb’s product surfaces. The Data Frameworks team is a part of the Users, Listings and Platforms org which is responsible for all things related to Users and Listings data and creating the platforms on which we build the next-generation applications at Airbnb.

The team’s main mission is bridging the gap between online and offline data use cases for the company. Our job is to build world-class comprehensive application frameworks, services and platforms to easily transform and serve data to the application stack.

Your day-to-day responsibilities includes:

• Work at the intersection of online and offline data, storage layers and stream processing.
• Work on and also contribute to open-source software, and have industry impact.
• Help to continue executing on our next-generation architecture redesign initiatives.

A Typical Day 

• Write maintainable and self-documenting code, and perform code reviews.
• Design, build systems that power product engineers.
• Continuously optimize and improve the performance and reliability of existing systems.
• Collaborate with team members and establish close partnerships with other technical organizations at Airbnb.
• Provide training, documentation, and coaching to other engineering teams on how best to utilize our platform solutions.
• Mentor and support other engineers in the team and related teams.

• BS/MS/PhD in Computer Science or related field, or equivalent experience.
• 8+ years in the industry.
• Proficient with batch & real-time data processing technologies like Flink, Spark.
• Hands-on experience with Kafka and building services for Kafka.
• Experience in building high-performance, data-intensive distributed systems.
• Hands-on experience with GraphQL-based API design (preferred).
• Knowledge of Elasticsearch is a plus.

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: 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.

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.