Airbnb

Senior Data Engineer, Marketing Data

US
USD 185k - 215k
SQL Streaming Spark
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Description

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:

The Marketing Data Platform team is looking for a Senior Data Engineer to join our team. We own and curate important marketing data models, data resources, and metrics that are critical to drive business growth and product engagement. 

In this role you will own some of Airbnb’s most foundational data assets, including our marketing communication & engagement, growth & attribution, ads performance and traffic acquisition. You will design, build and own the company-wide marketing performance data models and metrics. You will work closely with Analytics Engineers, Software Engineers,  Analytics and the Finance team to make sure our marketing core data foundation is accurate, high quality, and adapting to the evolving business needs. 

The Difference You Will Make:

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 looking for talented Senior Data Engineers who are excited about redefining what it means to do Data Engineering. Data Engineering is part of our Engineering org as we believe great Data Engineering depends on solid Software Engineering fundamentals. However, we also recognize that each Data Engineer has a unique blend of skills. Whether your strength is in data modeling or in stream processing, we want to talk to you.

A Typical Day:

  • Develop and automate large scale, high-performance data processing systems (batch and/or streaming) to drive Airbnb business growth and improve the product experience.
  • Build scalable Spark data pipelines leveraging Airflow scheduler/executor framework
  • Design our data models for optimal storage and retrieval and to meet critical product and business requirements.
  • Understand and influence logging to support our data flow, architecting logging best practices where needed
  • Contribute to shared Data Engineering tooling & standards to improve the productivity and quality of output for Data Engineers across the company
  • Improve data quality by using & improving internal tools to automatically detect issues

Your Expertise:

  • 5-9+ years of relevant industry experience with a BS/Masters, preferably in CS, or 2+ years with a PhD
  • Demonstrated ability to analyze large data sets to identify gaps and inconsistencies, provide data insights, and advance effective product solutions
  • Experience designing and deploying high performance systems with reliable monitoring and logging practices
  • Working knowledge of relational databases and query authoring (SQL).
  • Excellent communication skills, both written and verbal

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: reasonableaccommodations@airbnb.com.

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$215,000 USD

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