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Senior Data Engineer



Data Science
United States
Posted on Friday, May 31, 2024

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:

At Airbnb, we need to ensure every area of the business has trustworthy data to fuel insight and innovation. Understanding the business need, securing the right data sources, designing usable data models, and building robust & dependable data pipelines are essential skills to meet this goal.

We are currently hiring for the following teams:

Host Success team: Host Success is where business partners, sales leads, product managers, data scientists, data engineers, machine learning engineers and backend engineers all come together to help Hosts be more successful on Airbnb through data powered recommendations, or new programs. This includes helping Hosts optimize their pricing and availability, providing insights for Hosts to better understand their performance, and leverage all the Host tooling to maximize the appeal for their listings to guests.

Community Support Data Platform Team: Airbnb Community Support is critical in every step of the customer journey and in no other domain does the efficiency and reliability of servicing tech translate so directly into competitive advantage, brand loyalty and the fundamentals of the business. Our customers can reach out to Airbnb through various channels like Phone, Messaging, LiveChat, Email and Social and we need to make sure they get exceptional service, either by helping them self solve through AI (Large Language Models) or routing them to the right Airbnb ambassador. Our team is responsible for providing consistent and trustworthy data and metrics for the most important CS data across offline and online consumption, including experimentation, AI/ML, measurement, product and operational insights.

The Difference You Will Make:

Host Success team: You will partner with the sales and product teams to build data models, to produce actionable that’s integrated with our sales platform to enable hundreds of sales people to more effectively engage with Hosts and help them be more successful on our platform. You will also collaborate with data scientists and ML engineers to iterate on the prioritization of recommendations, track conversion, and report on the business impact of this effort to iteratively improve on the quality and impact of our recommendations.

Community Support Data Platform Team: You will join a multi-functional team of talented data engineers, software engineers and analytics engineers and design, build and evolve critical 3rd party vendor integrations, data processing pipelines and APIs such as: building money movement data foundations, scaling our near real-time topline metrics reporting and anomaly detection, improving time-to-insights for critical operations dashboards and supporting holistic measurement and evaluation of our GenAI initiatives. You will partner with Product Engineering, Analytics, Product, ML and Infrastructure teams to make that happen and contribute to Tech Excellence such as monitoring/observability, developer productivity, testability.

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:

  • 5-9+ 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. Airbnb, Inc. can employ in states where we have registered entities. Currently, employees can not be located in: Alaska, Indiana, Nebraska, North Dakota, Ohio, South Dakota, Wisconsin, Alabama, Mississippi, Oklahoma, Delaware or Rhode Island. As this list is continuously evolving and being updated, 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 best and brightest people from the broadest talent pool possible. We believe a diversity of ideas foster innovation and engagement, allow us to attract the best people, and to develop the best products, services and solutions. All qualified individuals are encouraged to apply. If you need assistance or a reasonable accommodation during the application and recruiting process, please contact us at: [email protected].

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
$185,000$221,000 USD