Staff Data Engineer - Foundational Data

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:

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:

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:

• Architect and productionize batch and real-time data systems to support various products and business needs.
• Ensure the quality, performance, and stability of data systems through robust quality systems and monitoring practices.
• Design and optimize data models for efficient storage and retrieval to meet critical product and business requirements.
• Collaborate with cross-functional teams, including product managers, engineers, data scientists, and business partners, to align on data requirements and develop scalable systems.
• Tune, productionize, and optimize data systems and machine learning models to enhance their effectiveness and efficiency.
• Build and maintain strong relationships with partner engineering teams, including backend, client, data science, and ML teams, to ensure seamless integration and support.
• Contribute to the development of long-term data strategies and roadmaps, and influence the technical direction of data engineering practices within the organization.
• Mentor and coach team members, providing guidance and support to enhance their skills and performance.

Your Expertise:

• 9+ years of relevant industry experience with a Bachelor's and/or Master's degree in CS/EE, or equivalent experience, or 6+ years of experience with a PhD
• Strong knowledge of Java, Scala, or Python, and expertise with data processing technologies and query authoring (SQL).
• Proven ability to design, productionize, and optimize batch and real-time data pipelines and systems, ensuring their quality, performance, and stability.
• Excellent ability to collaborate with cross-functional teams, including product managers, engineers, data scientists, and business partners, to align on requirements and drive data-driven decision-making.
• Advanced analytical and problem-solving skills with a focus on data quality, governance, and system reliability.
• Exceptional written and verbal communication skills, capable of influencing stakeholders and conveying complex technical concepts effectively.
• Expertise in data modeling, warehousing, and working with a wide variety of databases (relational, graph, NoSQL, etc...).
• Ability to provide technical leadership and mentorship, guiding teams on best practices and contributing to the development of data engineering strategies.
• Flexibility and innovative thinking to evaluate and incorporate new technologies and methodologies to improve data processes and solutions.
• Experience exploring and leveraging LLM AI's in every-day tasks (coding, documentation, etc...).

Nice to have:

• Scaling data tasks via automation.
• Previous experience in large-scale cloud-based software engineering or system architecture.
• Experience with AB experimentation.
• General understanding of AI/ML algorithms, including their dependencies on data, as well as their respective strengths and limitations.
• Previous experience designing, building, and operating robust distributed data platforms (e.g., Spark, Kafka, Flink, HBase) and handling data at the petabyte scale.

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: 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-$255,000 USD