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Staff Analytics Engineer - Foundational Data

United States 194000.00 - 240000.00 USD / Year · Job Posted March 22, 2026
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Job Description

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.

Job Responsibility

  • 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

Requirements

  • 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

What we offer

  • bonus
  • equity
  • benefits
  • Employee Travel Credits

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