Staff Data Engineer, Tech Foundations

📋 Description

• Lead the architecture, implementation, and operation of high-impact data pipelines across AI usage
• Partner with stakeholders to define how AI adoption, consumption, and spending are measured across
• Evolve Unit Economics datasets to connect revenue and diverse cost drivers, enabling teams to
• Build reliable ingestion and transformation pipelines for non-platform systems such as Jira and
• Translate ambiguous requirements into clear source contracts, reusable fact and dimension models
• Develop configurable pipelines and shared components that simplify onboarding new data sources

🎯 Requirements

• 9+ years of relevant industry experience with a Bachelor’s or Master’s degree in Computer Science
• A track record of leading complex data engineering initiatives from ambiguous requirements through
• Deep expertise in SQL and strong programming skills in Python or Scala, with experience building
• Extensive experience with distributed processing technologies such as Apache Spark and large-scale
• Strong data modeling skills, including fact and dimension design, slowly changing dimensions
• Experience integrating heterogeneous sources, including APIs, enterprise applications, event data

🎁 Benefits

• Reasonable accommodations throughout the recruitment process for applicants with disabilities.
• Remote work eligibility within the US.
• Potential occasional work at an Airbnb office or offsites as agreed with manager.