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 stakeholders
• Ability to provide technical leadership and mentorship, guiding teams on best practices and contributing to the development of analytic engineering strategies
• Experience exploring and leveraging LLM AI’s in every-day tasks (coding, documentation, etc…)
• Strong capability to forge trusted partnerships across working teams
• Nice to have:
• Scaling data tasks via automation
• Previous experience in large-scale cloud-based software engineering or system architecture
• Experience with AB experimentation
• Familiarity with AI/ML algorithms, including their dependencies on data, as well as their respective strengths and limitations.
• Designing and/or leveraging high quality data visualization tools
• 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 $194,000 — $240,000 USD