Senior Analytics Engineer

Summary

Join Airbnb as a Senior Analytics Engineer and become an integral part of a data-driven community. Collaborate with various teams to build and optimize scalable data solutions, focusing on critical metrics and models for Investor Relations reporting. You will develop and maintain data models, dashboards, and pipelines, ensuring data quality and self-serve capabilities. Proactively shape Airbnb’s data ecosystem, driving scalability and efficiency in analytics. Mentor team members and contribute to long-term infrastructure visioning. This role offers the opportunity to influence Airbnb’s business strategy and organizational growth.

Requirements

• 6+ years of relevant industry experience
• Expertise in distributed data processing systems (e.g., Spark, Presto) and pipeline optimization
• Advanced SQL and data modeling mastery, with familiarity in database schema and dimensional modeling
• Strong programming skills in Python (experience in Scala preferred)
• Passion for creating trusted metrics and self-serve dashboards
• Familiarity in visualization tools (e.g., Tableau, Superset)
• Experience with an ETL framework like Airflow

Responsibilities

• Develop Scalable Solutions: Architect, build, and maintain critical metrics and reliable pipelines using tools like Spark, Presto, Tableau, and Airflow
• Champion Data Excellence: Contribute leadership in metrics design and dimensional modeling practices, including adherence to Midas
• Drive Collaborative Impact: Proactively partner with Data Engineering, Platform, and Business vertical teams, ensuring data strategy aligns with business goals
• Innovate Reporting Practices: Enrich frameworks for experimental design in predictive modeling workflows to broaden the impact of analytics across functions
• Lead Organizational Strategy: Balance long-term vision for data architecture by tracking dependencies and critical roadmaps

Benefits

This role may also be eligible for bonus, equity, benefits, and Employee Travel Credits