Staff Software Engineer, Experimentation Data

October 8

Apply Now
Logo of Airbnb

Airbnb

B2C • eCommerce • Hospitality

Airbnb is a global online marketplace that connects people looking for accommodation with hosts offering unique and diverse lodging options, often in residential properties. Users can book spaces ranging from one-bedroom apartments to entire homes and boutique hotels. Airbnb also offers experiences, allowing guests to book activities hosted by locals, providing an authentic travel experience.

5001 - 10000 employees

Founded 2007

👥 B2C

🛍️ eCommerce

💰 Post-IPO Equity on 2020-12

📋 Description

• Work to build, maintain, optimize and extend complex and large scale data processing pipelines. • Contribute to Airbnb’s library for flexible and extensible on-demand analysis of experiments. • Partner with teams across the organization to improve the impact of experimentation across the company. Participate in all phases of software development of the overall platform from architecture/design through implementation, testing, and on-call. • Work closely with Data Science partners to implement sophisticated statistical methodologies into the platform. • Participate in experiment reviews to understand how our customers use our infrastructure, identify areas for improvement and learn about features rolling out across the company.

🎯 Requirements

• 9+ years in a hands-on software engineering role, shipping high quality code to production, especially for high scale, distributed systems or data pipelines. • Experience with at least one modern, general programming language (e.g. Python, Java) • Experience with scientific/statistical computation, especially involving online experimentation • Experience with at least one modern “big data” technology (e.g. Spark, Dataflow) • Strong SQL skills - you should be able to “go deep” when debugging or optimizing. • Experience with big data orchestration technologies (e.g. Airflow) • [Bonus] Experience building frameworks which generate data pipelines at scale. • [Bonus] Experience with a distributed stream processing framework (e.g. Flink, Kafka, Dataflow).

🏖️ Benefits

• This role may also be eligible for bonus, equity, benefits, and Employee Travel Credits.

Apply Now

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