What is Data Engineering at Airbnb? 

We need to ensure every area of the business has trustworthy data to fuel insight and innovation. Understanding the business need, securing the right data sources, designing usable data models, and building robust & dependable data pipelines are essential skills to meet this goal.

At the same time, the technology used to create great data is continually evolving. We are moving to a reality where both batch & stream processing are leveraged to meet the latency requirements for the business. The Data Engineering paved path is still taking shape, and we want to collaboratively develop this to support the entire company. We need senior engineers who are passionate not only about the data, but also about improving the technology we leverage for Data Engineering.

We are looking for talented senior Data Engineers who are excited about redefining what it means to do Data Engineering. Data Engineering is part of our Engineering org as we believe great Data Engineering depends on solid Software Engineering fundamentals. However, we also recognize that each Data Engineer has a unique blend of skills. Whether your strength is in data modeling or in stream processing, we want to talk to you.

What is Trust Fraud Detection At Airbnb?

Over two million people stay on Airbnb every night and the Trust Engineering team keeps our hosts and guests safe and supported throughout the entire Airbnb experience.

As part of the Trust Data Engineering team, you will be in charge of designing and building scalable and robust data processing systems to detect and mitigate fraud across our entire platform. You will be deeply involved in the technical details of building highly available and real-time risk detection data applications in close collaboration with product, data science and operations teams to understand ever-evolving attack vectors and to make Airbnb the safest and most trusted community.

Projects:

• Build real-time data pipelines to empower data foundations for fraud detection, such as account takeover, newly-added payout methods with historical ATO'ed accounts, ghosted users etc.  
• Design and implement a unified data interface to facilitate data access across various data warehouses (ex. Hive, Presto, StarRocks) for Trust applications and fraud management tooling
• Provide an end-to-end near real-time alerting framework to automate fraud trend detection
• Collaborate with Operations, Data Science, and engineering teams to design and build an offline rule management system to enable creation, testing, and execution of offline rules used for async fraud detection and mitigation
• Define a domain specific language (DSL) to support an intuitive query builder user interface to achieve low-code/no-code queries for fraud alerting, actioning, and investigative tooling
• Design and implement data validation framework for fraud rule backtesting and automate alert efficacy analysis
• Standardize fraud ground truth data and labels to power critical fraud metrics, automate rule efficacy analysis, and improve fraud detection acrossTrust.

Minimum Requirements:

• 10+ years of relevant software development industry experience in a fast paced, high growth tech environment.
• Bachelor’s in CS or related field, Master’s or PhD is preferred.
• Excellent technical background in big data, including Spark/Flink/Hive/SQL and strong programming experiences with Java/Scala/Python/Airflow etc.
• Strong communication skills and the ability to work well within a team and across engineering teams.
• Strong sense of ownership with experiences building and operating high-scale, distributed systems across the full software life cycle. 
• Passionate about system efficiency, availability, quality and scalability.
• Related experience in fraud detection or Trust & Safety is a plus.
• Ability to influence and have an impact.

The starting base pay for this role is between $190,000 and $245,000. The actual base pay is dependent upon many factors, such as: education, experience, and skills. The base pay range is subject to change and may be modified in the future. This role may also be eligible for bonus, equity, benefits, and Employee Travel Credits.