Why Data @ Airbnb?

Quality data is fundamental to Airbnb’s success. As a rapidly growing company, we are preparing for a future of tremendous growth and transformation. We are rebuilding our Data Engineering practice to enable the company’s success by building a solid data foundation. We are seeking stunning Senior Data Engineers to help us define and realize our vision for trustworthy data across the company. This is a unique opportunity to join Data Engineering for a strong, but high potential, company early in its lifecycle.

Like all teams at Airbnb, we value and promote the diversity of our workforce, our guests, our hosts, our marketplace platform, and the world. Simply put, you belong at Airbnb.

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.

Responsibilities:

• Develop and automate large scale, high-performance data processing systems (batch and/or streaming) to drive Airbnb business growth and improve the product experience.
• Build scalable Spark data pipelines leveraging Airflow scheduler/executor framework
• Design our data models for optimal storage and retrieval and to meet critical product and business requirements.
• Understand and influence logging to support our data flow, architecting logging best practices where needed
• Contribute to shared Data Engineering tooling & standards to improve the productivity and quality of output for Data Engineers across the company

• Improve data quality by using & improving internal tools to automatically detect issues

Minimum Requirements:

• 5+ years of relevant industry experience
• Bachelor’s and/or Master’s degree, preferably in CS, or equivalent experience
• Demonstrated ability to analyze large data sets to identify gaps and inconsistencies, provide data insights, and advance effective product solutions
• Experience designing and deploying high performance systems with reliable monitoring and logging practices
• Working knowledge of relational databases and query authoring (SQL).
• Excellent communication skills, both written and verbal

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