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: We are currently hiring for multiple teams: Guest Data: Understanding how guests and hosts use Airbnb allows us to give them the best possible experience. The Guest Data team, part of the Guest & Host organization, is dedicated to developing top-tier tools, frameworks, and data models that offer a data-driven perspective on guest experiences on Airbnb products. Our primary stakeholders include analytics and data science partners, ML engineers, and product and engineering leaders involved in the core booking flow. Airbnb is powered by our Host and Guest communities. Our teams work on everything from driving improvements for the end-to-end Host and Guest experience to launching new product verticals from the ground up. Our job is to build world-class, comprehensive platforms and features to create high-quality experiences for our outstanding community of Hosts and Guests. Listings and Host Tools Data and AI (LHT-DnA) team is one of the 4 teams of the Marketplace-DnA org: The LHT-DnA team supports host personalization products and provides data driven solutions to achieve superior host experience on Airbnb. These products include but are not limited to managing your space (MYS), host quality standards etc. We own data pipelines and ML models and will build services for serving that are used in the above areas. Data Foundation: Our mission in the Foundational Data team is to build and maintain high quality datasets frequently used across all of Airbnb. We set company-wide standards that decide how locations are grouped into regions, visitors are measured based upon site traffic, bot traffic is separated from organic traffic, and cloud costs are attributed to Airbnb services. This data is used to build public financial reports, drive strategic marketing decisions, and manage operational costs. By collaborating with cross-functional teams, you will have the opportunity to drive significant business impact. The Difference You Will Make: Guest Data: As a Senior Data Engineer, you will help build our data strategy, develop top-tier data models and tooling, and provide technical leadership to a team of senior data engineers. You have the opportunity to influence critical aspects of the Airbnb experience, including Search and Checkout, while collaborating with long-standing xfn partners across Product, Analytics Engineering, Data Science, Infrastructure, and AI/ML. Your work will impact the quality of the Airbnb product experience for millions of daily visitors, making it an exciting opportunity for anyone passionate about data and its transformative potential. Data Foundation: You will bring a unique lens to our data strategy and provide in-depth technical mentorship and leadership to the team. We are looking for someone with experience that spans a wide range of skills centered around data. You will be responsible for developing data models that balance competing requirements, interacting with technical & non-technical data users, managing large-scale data projects, and maintaining data pipelines. Staff-level engineers are expected to do this with a minimal amount of supervision. We value innovative thinkers who consistently seek smarter and more efficient solutions while managing daily operations, deadlines, and collaborating with team members. A Typical Day: - Design, build, and maintain robust and efficient data pipelines that collect, process, and store data from various sources, including user interactions, listing details, and external data feeds. - Develop data models that enable the efficient analysis and manipulation of data for merchandising optimization. Ensure data quality, consistency, and accuracy. - Build scalable data pipelines (SparkSQL & Scala) leveraging Airflow scheduler/executor framework - Collaborate with cross-functional teams, including Data Scientists, Product Managers, and Software Engineers, to define data requirements, and deliver data solutions that drive merchandising and sales improvements. - Contribute to the broader Data Engineering community at Airbnb to influence tooling and standards to improve culture and productivity - Improve code and data quality by leveraging and contributing to internal tools to automatically detect and mitigate issues Your Expertise: - 5+ years of relevant industry experience with a BS/Masters, or 2+ years with a PhD - Experience with distributed processing technologies and frameworks, such as Hadoop, Spark, Kafka, and distributed storage systems (e.g., HDFS, S3) - Demonstrated ability to analyze large data sets to identify gaps and inconsistencies, provide data insights, and advance effective product solutions - Expertise with ETL schedulers such as Apache Airflow, Luigi, Oozie, AWS Glue or similar frameworks - Solid understanding of data warehousing concepts and hands-on experience with relational databases (e.g., PostgreSQL, MySQL) and columnar databases (e.g., Redshift, BigQuery, HBase, ClickHouse) - Excellent written and verbal communication skills 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. Pay Range $191,000—$223,000 USD