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:
The Payments 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:
Our team charter is on enabling Airbnb to comply with Tax, Payments,and Legal regulations so that our Hosts can continue to operate in regulated geos. Our products ingest, process, validate, and deliver large datasets to government authorities (often partnered with tax remittance) so our data must be of the highest accuracy and quality. As you build and maintain key components of the critical Compliance data ecosystem, you’ll have the opportunity to contribute to creating standards and best practices for Airbnb’s DataEngineering. Your work on solving complex business challenges at scale will be instrumental in shaping the tools, processes, and standards used by the broader data community.
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.
- Develop high quality data assets for product use-cases by partnering with Product, AI/ML and Data Science.
- 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:
- 6+ years of relevant industry experience
- BE/B.tech in computer science or relevant technical degree
- Hands on experience in DSA coding -Data structure and algorithm
- Extensive experience designing, building, and operating robust distributed data platforms (e.g., Spark, Kafka, Flink, HBase) and handling data at the petabyte scale.
- Strong knowledge of Scala, or Python, and expertise with data processing technologies and query authoring (SQL).
- 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
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.
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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