The Community You Will Join:

The Analytics Infrastructure Team's mission is to empower data-driven decision-making across the company through robust, scalable, and innovative analytics products. We build and maintain the libraries, frameworks, and visualization tools that enable our data scientists, analysts, and engineers to derive insights and drive impact. Our team embraces a collaborative environment where engineers, data scientists, and product specialists work together to solve complex challenges and deliver high-quality solutions.

As a backend software engineer on the Analytics Infrastructure team, you will have the opportunity to build data tools and python services leveraged by these tools, which enable data practitioners to efficiently explore and analyze data to create insights. The Analytics Infrastructure team manages products like Apache Superset (BI tool currently used by over 2500 weekly active users), Airbnb’s in-house build Metric system which enables metric consistency at scale, the Experimentation platform, which enables safe product launches and deep insights into product features.

The Difference You Will Make:

• As a Python Engineer on the Analytics Infrastructure Team, you will be a key contributor to products within our Python-based analytics stack. You'll design, develop, and enhance data analysis libraries, prototyping frameworks, and data visualization tools that empower our users to explore, understand, and communicate data effectively. Your work will directly impact the way our company leverages data to make informed decisions and drive product innovation.

A Typical Day: 

• Design, develop, and maintain high-performance Python services and libraries which enable seamless and accurate analysis, visualization and distribution across the company.
• Engage with internal data scientists and engineers to understand their unique data challenges and requirements. Collaborate to design and implement tailored solutions that integrate seamlessly with their workflows and enable them to derive meaningful insights from their data.
• Collaborate with other teams within Airbnb’s data platform (e.g. Data Warehouse Infrastructure and others) on integration of the python tooling and data products within the data platform’s services and infrastructure. 
• Contribute to maintaining a high technical quality bar by identifying quality or architecture improvements projects, improving testability, reviewing other’s code and technical designs.
• Participate in all phases of software development from architecture/design, through implementation, testing, and on-call.

Your Expertise:

• 9+ years in a hands-on software engineering role, shipping high-quality code to production especially in a modern Python environment.
• Deep Python expertise, including understanding of packaging internals, async programming, and data science toolkits like Pandas and Numpy.
• Strong grasp of software design patterns, algorithms, data structures, and principles of software engineering.
• [Bonus points] Experience in some combination of internal application development, data visualization or data-intensive applications is a plus.
• [Bonus points] Hands-on experience with big data technology, e.g: Flink, Airflow, Hadoop, Spark, Trino, etc. 
• [Bonus points] Experience with data science heavy statistical analyses.

Your Location:

Remote- USA

This position is US - Remote Eligible. The role may include occasional work at an Airbnb office or attendance at offsites, as agreed to with your manager. While the position is Remote Eligible, you must live in a state where Airbnb, Inc. has a registered entity. Click here for the up-to-date list of excluded states. This list is continuously evolving, so please check back with us if the state you live in is on the exclusion list. If your position is employed by another Airbnb entity, your recruiter will inform you what states you are eligible to work from.

Our Commitment To Inclusion & Belonging:

Airbnb is committed to working with the broadest talent pool possible. We believe diverse ideas foster innovation and engagement, and allow us to attract creatively-led people, and to develop the best products, services and solutions. All qualified individuals are encouraged to apply.

We strive to also provide a disability inclusive application and interview process. If you are a candidate with a disability and require reasonable accommodation in order to submit an application, please contact us at: reasonableaccommodations@airbnb.com. Please include your full name, the role you’re applying for and the accommodation necessary to assist you with the recruiting process. 

We ask that you only reach out to us if you are a candidate whose disability prevents you from being able to complete our online application.