Airbnb Staff Software Engineer Event Logging 

United States 

867900825

The Difference You Will Make:

As a Staff Software Engineer on the Event Logging team, you will lead critical initiatives that shape how Airbnb captures, processes, and leverages event data at scale, including:

A Typical Day:

As a Staff Software Engineer on the Event Logging team, your day might include:

• Contributing to the development of long-term strategies and roadmaps, and influencing the technical direction of our logging infrastructure
• Architecting scalable solutions for real-time and batch event processing
• Driving technical discussions and decision-making across teams
• Designing and implementing robust data governance systems ensuring proper event ownership and lineage
• Optimizing event ingestion pipelines handling billions of events per day
• Collaborating with cross-functional teams to gather requirements, assess logging needs, and design efficient solutions that align with business objectives
• Identifying and implementing automation opportunities to improve logging efficiency
• Mentoring and coaching team members, providing guidance and support to enhance their skills and performance

Your Expertise:

We're looking for someone who brings:

• 9+ years of experience with a BS/Masters or 6+ years with a PhD
• Deep expertise in backend programming languages (Java, Kotlin, Scala, or Python)
• Proven experience with real-time event processing systems, particularly with large-scale distributed data processing frameworks like Spark or Flink and messaging frameworks like Kafka
• Hands-on experience with modern ETL frameworks like Airflow
• Understanding of data security, privacy principles, and regulatory compliance (GDPR, CCPA)
• Knowledge of observability and monitoring best practices
• Track record of translating complex business requirements into scalable technical solutions
• Excellent communication skills with ability to influence both technical and business stakeholders
• Experience building trusted partnerships across diverse teams
• Strong mentorship and technical leadership capabilities

Preferred Qualifications:

• Background in data governance and schema management
• Experience with high-throughput data pipelines