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:

Search Engine Optimization

Data forms the foundation of SEO systems and platforms. We rely on massive amounts of data for our page building and content recommendation systems. Being able to correctly model and understand data is critical for the program’s success. As a relatively new area of the team’s expansion, many of our data models and streams are still in their infancy.

The difference you will make:

We’re looking for talented Data Engineers who will shape the development and future use of data across all SEO products. As a Data Engineer on the SEO team, you’ll work directly with product and engineering teams throughout the company to collect and utilize various types of data. You’ll design and develop models and streams that will control where and how we present content. This is a great opportunity to get in early on a platform and have an outsized impact on the product direction and experience.

A typical day:

  • Develop and automate large scale, high-performance data processing systems (batch and/or streaming) to drive Airbnb business growth and improve the product experience.
  • Build scalable Spark data pipelines leveraging Airflow scheduler/executor framework
  • Design our data models for optimal storage and retrieval and to meet critical product and business requirements.
  • Understand and influence logging to support our data flow, architecting logging best practices where needed
  • Contribute to shared Data Engineering tooling & standards to improve the productivity and quality of output for Data Engineers across the company
  • Improve data quality by using & improving internal tools to automatically detect issues

Your expertise:

  • 3+ years of relevant industry experience
  • Bachelor's and/or Master's degree, preferably in CS, or equivalent experience
  • Demonstrated ability to analyze large data sets to identify gaps and inconsistencies, provide data insights, and advance effective product solutions
  • Experience designing and deploying high performance systems with reliable monitoring and logging practices
  • Working knowledge of relational databases and query authoring (SQL)
  • Excellent communication skills, both written and verbal

How we'll take care of you:

Our job titles may span more than one career level. The starting base pay for this role is between $134,000 and $179,500. 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.

The 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. Airbnb, Inc. can employ in states where we have registered entities. Currently, employees can not be located in: Alaska, Indiana, Nebraska, North Dakota, Ohio, South Dakota, Wisconsin, Alabama, Mississippi, Oklahoma, Delaware or Rhode Island. As this list is continuously evolving and being updated, 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.

If you need assistance, or a reasonable accommodation during the application and recruiting process, please contact us at: reasonableaccommodations@airbnb.com.