Staff Data Engineer - Data AI-Listings & Structured Data

Summary

Join Airbnb's Users, Listings and Marketplaces Data and AI (ULM-DnA) Org as a Data Engineer and contribute to enhancing the quality of listing data. Collaborate with cross-functional teams to architect and productionize batch and real-time data systems, ensuring quality, performance, and stability. Work with product teams to define data requirements and develop scalable systems. Your expertise in data engineering, coupled with strong communication skills, will be instrumental in improving the Airbnb experience for both hosts and guests. This role offers the opportunity to work on petabyte-scale data and collaborate with ML engineers to develop integrated data and machine learning solutions. The position is US-remote eligible, with occasional office work or offsites as needed.

Requirements

• 9+ years of relevant industry experience with a Bachelor’s and/or Master’s degree in CS/EE, or equivalent experience, or 6+ years of experience with a PhD
• Experience collaborating with client, backend, ml, analytics teams, product and business partners
• Experience designing and deploying high performance systems with reliable monitoring and logging practices
• Effectively work across team boundaries to establish overarching data architecture, data flow, and provide guidance to individual teams
• Strong knowledge of relational databases and query authoring (SQL)
• Strong expertise with Java / Scala / Spark and operating on data at the petabyte scale
• Excellent communication skills, both written and verbal

Responsibilities

• Architect and productionize batch and real-time data systems to power products for Airbnb Guests and Hosts, or our business/sales teams
• Ensure the quality, performance, and stability of data systems with thoughtful quality systems and monitoring
• Tune, productionize, and optimize data systems powering Airbnb products
• Collaborate with product teams to extract data requirements from product specs to develop scalable and flexible systems
• Collaborate and build relationships with partner engineering including backend/client, data science, analytics, and ML

Benefits

• Bonus
• Equity
• Benefits
• Employee Travel Credits