Senior Analytics Engineer

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: 3 Openings

Airbnb.org:

In December 2020 Airbnb launched Airbnb.org, a non-profit organization that builds on a long history of connecting people in times of crisis to safe, comfortable places to stay. This work began at Airbnb in 2012, when a Host named Shell reached out wanting to offer her home for free to those impacted by Hurricane Sandy in New York City. Since then, Airbnb — and now Airbnb.org — has helped provide safe housing for over 250,000 people to date in response to hundreds of emergency events around the world including hurricanes, wildfires, refugee crises, and a global pandemic. The Airbnb.org team within Airbnb works in support of the Airbnb.org non-profit and partners with Hosts, nonprofit organizations, emergency management agencies and governments to provide stays to people around the world in times of crisis, and has announced a series of commitments to diversity, equity and inclusion including centering marginalized communities in its work and in team composition.

Community Support Data Platform:

Empower Community Support to make trusted data driven decisions and automate decision making by developing quality data systems, data products and governance models. The primary focus of the majority of the team (DE and AE) is developing trustworthy and reliable offline data pipelines and metrics for the most important Community Support data to empower organizational and operations decision making, used by operations teams and partners, product, engineering, ML, experimentation. This includes data integrations with 3rd party vendors, data processing and working with product/business teams to develop the right data foundations and metrics.

Foundational Data Team:

Our mission in the Foundational Data team is to build and maintain high quality datasets frequently used across all of Airbnb.  We set company-wide standards that decide how locations are grouped into regions, visitors are measured based upon site traffic, bot traffic is separated from organic traffic, and cloud costs are attributed to Airbnb services.  This data is used to build public financial reports, drive strategic marketing decisions, and manage operational costs.  By collaborating with cross-functional teams, you will have the opportunity to drive significant business impact.

The Difference You Will Make:

As a Senior Analytics Engineer, you will work in a team of engineers with diverse expertise to build foundational data sets that power insights for the company and our host community. You will be operating with a high level of autonomy, collaborating directly with product, business partners, and peer engineering teams to align on requirements and execute effectively. You will review the designs and work of engineers on the team, and set a high bar for quality.  You will also work closely with data scientists and economists to identify data sources and structure for foundational data sets. 

A Typical Day: 

• Architect and develop high quality data assets for product and analytics use cases, as well as for sharing with external partners
• Be resourceful in identifying and importing external data sets that help answer business questions
• Collaborate and build relationships with partners including backend/client, data science, analytics, and ML
• Develop frameworks, tools, and dashboards to scale insight generation to meet critical business, product, and regulatory requirements
• Present product and technical deep dives to key stakeholders
• Influence the trajectory of data in decision making
• Improve trust in our data by championing for data quality across the stack

Your Expertise:

• 5+ years of experience experience in Analytics Engineering, Data Science, Data Engineering, or similar field
• Expertise in SQL and proficient in at least one data engineering language, such as Python or Scala
• Expertise in working with geospatial / geolocation data. 
• Experience with Tableau and data visualization tools generally
• Experience with an ETL framework like Airflow
• Excellent communication skills with a history of strong collaborations with technical and non-technical partners
• Expertise with data warehousing and modeling. Hands-on experience with relational databases (e.g., PostgreSQL, MySQL) and columnar databases (e.g., Redshift, BigQuery, HBase, ClickHouse)
• Strong problem-solving skills and the ability to troubleshoot complex data issues

Nice to have:

• Experience providing high-quality reports for external stakeholders (bonus points for working with geopolitical regulatory bodies)
• Experience influencing large organizations on technology or architecture direction
• Experience collaborating with ML engineers to develop and productionize models 
• Side projects or open source contributions to data frameworks and tooling

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.  

Pay Range$174,000—$213,500 USD