About the position
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 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.
Responsibilities
- Work at the intersection of online and offline data, storage layers and stream processing.
- 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.
Requirements
- 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.
Nice-to-haves
- Hands-on experience with GraphQL-based API design (preferred).
- Knowledge of Elasticsearch is a plus.
Benefits
- Base pay range of $185,000—$220,000 USD.
- Bonus eligibility.
- Equity options.
- Employee Travel Credits.
