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: 

We are investing in Airbnb’s centralized data platform organization. This core team provides trustworthy & accurate data that is foundational to how Airbnb listens to our customers and provides personalized recommendations.

The Difference You Will Make:

We are looking for a talented Engineering leader to run our Data Engineering Paved Path team to help us design and develop highly reliable, scalable, secure, and user-friendly frameworks. In this role, your org will work with cross-functional data producers & consumer teams to develop data applications, tools, and frameworks at Airbnb.

A Typical Day:

• Proven ability to hire and manage high-performing teams with strong organizational thinking.
• Experienced in building healthy cross-functional partnerships with data producers and consumers, influencing peer teams to adopt best practices when needed.
• Deliver trusted, timely, cost-efficient, and high-performance frameworks that support the production of central datasets and instrumentation to address critical business needs.
• Stay updated on emerging technologies, best practices, and industry trends in data engineering and software development.
• Mentor and provide guidance to junior and senior engineers, fostering technical growth and professional development.
• Collaborate with Data Infrastructure Engineers, Data Engineers, Data Scientists, and Product Managers to design and build frameworks that support data development workflows.
• Develop and maintain automation tools to streamline the deployment and management of the platform.
• Maintain and evolve data engineering tools to ensure high availability, reliability, usability, and performance.
• Work closely with data engineering and analytics teams to understand their needs and create a seamless path for interacting with the data warehouse.
• Design and implement frameworks for processing data at scale, such as a metrics platform, SQL generation framework, or data quality framework.

Your Expertise:

• Proven track record of 5+ years in management and technical leadership, with a strong focus on Data Infrastructure and supporting Data Engineers, Analytics Engineers, and/or Data Scientists.
• Extensive prior experience in Data Engineering, Data Infrastructure, and Software Engineering disciplines as an individual contributor.
• Experience in building data applications that implement higher-level abstractions on top of lower-level data infrastructure to simplify complex data operations, improve scalability, and enhance overall system performance.
• Proficient in working with data storage and distributed processing technologies (e.g., Hive, Spark, Trino, Flink, or other SQL databases).
• Strong familiarity with software engineering principles, including object-oriented and functional programming paradigms, design patterns, and code quality practices.
• Solid working knowledge of engineering best practices and the big data ecosystem.
• Experienced in data modeling, database design, and various SQL dialects.
• Proficient in containerization technologies such as Docker and Kubernetes.
• Extensive background in workflow orchestration solutions, including Apache Airflow, Luigi, Azkaban, Oozie, Prefect, or Kubeflow.
• Leverage experience in Data Engineering and Data Infrastructure to optimize processes and introduce new ideas and technologies that enhance data capabilities.
• Excellent communication skills, with the ability to effectively collaborate with cross-functional teams, build empathetic tools, and explain technical concepts to non-technical stakeholders.
• Strong analytical and problem-solving skills.
• BS/MS/PhD in Computer Science, a related field, or equivalent work experience preferred.

Your Location:

Remote - USA

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

$204,000—$259,000 USD