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:

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 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.

The Difference You Will Make:

As a Staff Analytics Engineer, you will bring a unique lens to our data strategy and provide in-depth technical mentorship and leadership to the team. We are looking for someone with expertise in data modeling, metric development, and large-scale distributed data processing frameworks like Presto or Spark. Using these tools, along with first-class internal data tooling, you will scale product and AI/ML team’s capabilities to unlock insights and develop high quality models. 

A Typical Day: 

• Develop high quality data assets for product and AI/ML use-cases
• Develop frameworks and tools to scale insight generation to meet critical business and product requirements
• Collaborate and build strong partnerships with Product, AI/ML and data science.
• Influence the trajectory of data in decision making
• Improve trust in our data by championing for data quality across the stack
• Influence event logging instrumentation best practices and participate in architecture designs

Your Expertise:

• 9+ years of experience with a BS/Masters or 6+ years with a PhD
• Expertise in SQL and proficient in at least one data engineering language, such as Python or Scala
• Experience with Superset and Tableau
• Expertise in large-scale distributed data processing frameworks like Presto or Spark
• Experience with an ETL framework like Airflow
• Clear and mature communication skills: ability to distill complex ideas for technical and non-technical stakeholders
• Strong capability to forge trusted partnerships across working teams

Nice to have:

• Designing high quality visualization tools
• Scaling data tasks via automation  
• Familiarity with experimentation and ML techniques

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. While the position is Remote Eligible, you must live in a state where Airbnb, Inc. has a registered entity. Click here for the up-to-date list of excluded states. This list is continuously evolving, so 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 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.

We strive to also provide a disability inclusive application and interview process. If you are a candidate with a disability and require reasonable accommodation in order to submit an application, please contact us at: reasonableaccommodations@airbnb.com. Please include your full name, the role you’re applying for and the accommodation necessary to assist you with the recruiting process. 

We ask that you only reach out to us if you are a candidate whose disability prevents you from being able to complete our online application.

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.