The Community You Will Join:

Our mission at Marketing Technology is to provide a state-of-the-art platform and measurement capabilities to enable marketing and product teams to engage with our customers effectively. Everyday millions of Airbnb customers are reached via our streamlined platform over comprehensive channels, such as Email, Push, SMS, and external Ads Platforms (e.g., Google, Facebook, etc). We deliver substantial business impact by enabling numerous stakeholders across the company, including Marketing (Brand and Performance), Guest/Host, Policy, and more.

The Difference You Will Make:

The Marketing data engineering team provides a state-of-the-art platform with measurement capabilities to enable marketing and product teams to engage with our customers effectively. Everyday millions of Airbnb customers are reached over comprehensive channels, such as Email, Push, SMS, and external Ads Platforms (e.g., Google, Facebook, etc). As the data team, we establish a solid data foundation that serves as the backbone of our marketing channels and enables us to make informed strategic decisions by providing a comprehensive measurement framework. By collaborating with cross-functional teams, you will have the opportunity to drive significant business impact.

Data can transform how a company operates; high data quality and tooling is the biggest lever to achieving that transformation. You will make that happen.

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].