Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 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: We are currently hiring for multiple teams: 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. AirCover Data Foundation: The AirCover Data Foundation team is responsible for providing trustworthy, consistent data and metrics to facilitate business insights, informed decision-making, and seamless operations across Airbnb's AirCover programs, such as Guest Travel Insurance, AirCover for Hosts, and AirCover for Guests. The team manages the end-to-end data lifecycle for guest and host protection programs, encompassing data ingestion and reconciliation with external insurance partners, as well as the construction of curated, offline analytics-ready data assets. This foundational data supports critical business functions, including claims and operations reporting, product experimentation, financial reconciliation, and the executive dashboards utilized by stakeholders across Product, Engineering, Operations, Finance, and Data Science. As AirCover continues its expansion into new markets and the introduction of new protection offerings, the data team plays a fundamental role in enabling trusted, data-driven decisions at every organizational level. The Difference You Will Make: Foundational Data team: 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. Leveraging our internal, top-tier data tooling alongside other resources, you will empower both technical and non-technical teams across Airbnb to utilize our data for making decisions grounded in evidence. Staff-level engineers are expected to do this with a minimal amount of supervision. We value innovative thinkers who consistently seek smarter and more efficient solutions while managing daily operations, deadlines, and collaborating with team members. Aircover team: As a Staff Analytics Engineer, you will provide technical leadership and mentorship, acting with high autonomy to define and drive the long-term metrics architecture, data quality standards, event logging, and instrumentation for your domain, particularly within the AirCover organization. You will collaborate closely with Product, Business Partners, Data Engineering, and Data Science to design and evolve core data models and business metrics that fuel executive reporting, operational dashboards, experimentation, and strategic decision-making. This influential role focuses on building trusted, scalable data foundations at the intersection of data, insurance, and trust & safety, ensuring Airbnb can make data-driven decisions at scale and deliver on its promise to protect Hosts and Guests. You will review and set a high bar for quality for engineers' work, acting as a thought partner to leadership. A Typical Day: Develop high quality data assets to satisfy a wide range of use-cases Develop frameworks and tools to scale insight generation to meet critical business and infrastructure requirements Collaborate and build strong partnerships with other data practitioners throughout Airbnb 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 Fluent in SQL and proficient in at least one data engineering language, such as Python or Scala Expertise using business intelligence and reporting tools like Superset and Tableau Expertise in large-scale distributed data processing frameworks like Presto or Spark Expertise in data modeling for data warehouses and/or metrics repositories Experience with an ETL framework like Airflow Clear and mature communication skills: ability to distill complex ideas for technical and non-technical sta