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 BizTech team at Airbnb is crucial to the company's operations, handling critical data related to compliance with Tax, Payments, and Legal regulations. We also manage application data for tools such as CRM, Jira, and Workday, which are essential for Airbnb’s business. Joining this team means working with cross-functional stakeholders, designing scalable solutions, and contributing to a world-class data engineering environment with an emphasis on quality, scalability, and robust engineering practices.
The Difference You Will Make:We are looking for a hands-on expert to provide technical leadership in addressing BizTech’s diverse data engineering needs and driving long-term strategies and best practices. This key leadership role requires strong collaboration and influence across teams. You'll play a crucial role in understanding business needs, identifying the right data sources, designing efficient data models, and building reliable, scalable data pipelines. As technology continues to evolve, you'll help shape and maintain significant parts of BizTech’s critical data ecosystem. Your contributions will not only address complex business challenges but also help refine and advance Airbnb’s Data Engineering Paved Path, benefiting the entire data community at Airbnb. We believe in solving problems and contributing back to our data community to continuously improve.
A Typical Day /Responsibilities:- Lead the design, implementation, and testing of data systems, from architecture to production.
- Build batch and real-time data systems that support business needs and critical products.
- Ensure data systems' quality, performance, and stability through rigorous monitoring and quality assurance practices.
- Design and optimize data models to efficiently meet business and product requirements.
- Collaborate with cross-functional teams, including product managers, data scientists, and engineers, to develop scalable systems and drive data-driven decisions.
- Maintain strong partnerships with backend, data science, and machine learning teams to ensure seamless integration of data systems.
- Contribute to long-term data strategies and influence data engineering practices across the organization.
- Mentor and guide team members, fostering best practices for data quality and governance.
- Advance 3rd party data integrations, enhancing frameworks for data exchange, governance, and lineage.
- 9+ years of relevant experience with a Bachelor's/Master’s degree in CS/EE (or 6+ years with a PhD).
- Extensive experience in designing, building, and operating distributed data platforms (e.g., Spark, Kafka, Flink) at a large scale.
- Proficiency in Java, Scala, or Python, along with strong skills in data processing and SQL querying.
- Proven track record of designing and optimizing batch and real-time data pipelines.
- Strong collaboration skills with the ability to work with product managers, data scientists, and engineers.
- Advanced problem-solving and analytical skills, with a focus on data quality, governance, and system reliability.
- Excellent written and verbal communication, with the ability to influence stakeholders and convey complex technical concepts.
- Expertise in data modeling, warehousing, and working with relational and columnar databases (e.g., PostgreSQL, MySQL, Redshift, BigQuery).
- Experience with integrating machine learning models into data systems (preferred).
- Strong leadership and mentorship capabilities, with experience guiding teams on best practices and technical strategies.
- Flexible and innovative, with the ability to adopt new technologies to enhance data systems and processes.
Airbnb Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Airbnb and has not been reviewed or approved by Airbnb.
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Fair & Transparent Compensation — Pay ranges and total compensation components are increasingly disclosed, and country-level pay practices avoid location-based cuts, which feedback suggests improves consistency and perceived fairness.
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Healthcare Strength — Comprehensive core health coverage for employees, mental health resources, and substantial dependent support are repeatedly highlighted as robust and a standout element of the package.
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Leave & Time Off Breadth — Generous PTO, a winter shutdown, sabbaticals, and paid volunteer time are described as extensive, with parental leave and phased return options reinforcing time-off flexibility.
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What We Do
Airbnb is a community based on connection and belonging—a community that was born in 2008 when two hosts welcomed three guests to their San Francisco home, and has since grown to 4 million hosts who have welcomed over 800 million guest arrivals to about 100,000 cities in almost every country and region across the globe. Hosts on Airbnb are everyday people who share their worlds to provide guests with the feeling of connection and being at home. At Airbnb, we believe that hosts, guests and the communities where we operate are all stakeholders we have a responsibility to serve, and that by serving them alongside our employees and investors, we will build an enduringly successful company.
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