Software Engineer, Analytics Infrastructure

Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to conne...

The Analytics Infrastructure team’s mission is to enable universal data-informed decision-making at Airbnb. We achieve this by providing an integrated suite of analytics frameworks, services and applications. We’re infrastructure and full stack engineers with a human focus: customer-centric, quality driven, helpful ...

As a backend / fullstack software engineer on the Analytics Products team (which is part of Analytics Infrastructure) you will have the opportunity to build data tools which enable data practitioners to efficiently explore and analyze data to create insights. The team manages data products used by 7,000 monthly acti...

Build new features to support user’s workflows, within our data products (Superset, AI for Data Chat, Notebooks) and integrations of our tools within the Data Platform’s ecosystem 
Collaborate with Apache Superset open source community and make contributions to the Apache Superset project 
Prepare, test and release Superset OSS official releases internally for Airbnb
Collaborate with teams within Airbnb’s data platform on integrations of our data products within the data platform’s infrastructure. 
Engage with users of products our team owns - we expect all engineers to be able to drive projects end to end, gather user feedback or collaborate with product managers, create and manage feature roll out plans and migrations. 
Contribute to maintaining a high technical quality bar by identifying quality or architecture improvements projects, improving testability, observability, and reviewing other’s code and technical designs.
Support the team’s operations via lightweight on-call support.

5+ years of full-time, relevant industry experience, with expertise in building backend services in Python.
Expertise with frontend development - HTML, CSS, Typescript, Javascript and modern front-end frameworks such as React is a plus.
Hands-on experience with data (SQL, Data Engineering) or big data technology is a plus, e.g: Airflow, Spark, Trino, etc. 
Experience in some combination of internal application development, data infrastructure, and analytics engineering is a plus.
Appetite for high quality code and robust systems, including observability, and reliability. 
Ability to drive cross functional projects or migrations - including alignment, collaboration and roll out with partner teams and users.
Passion for building interactive and delightful user experiences and engaging with users.