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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 connect with communities in a more authentic way.
The Community You Will Join:
- 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 and empathetic.
- 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 active users, including our in-house build AI for Data product, BI product (Apache Superset) and Notebooks and their integrations within the Data Platform tooling, like Airbnb’s in-house build Metric system which enables metric consistency at scale.
The Difference You Will Make:
- Shape up the future of AI powered Data Analytics at Airbnb. By working on improvements to our AI agent for Data, researching industry best practices and AI advancements, you will get to shape up and drive how our internal users get value from data.
- Collaborate with other data platform teams to build integrations of our data tools with Airbnb's data platform’s ecosystem, like the metric infrastructure which enables metric consistency at scale, data management platform which enables data discovery and data management, data warehouse infrastructure and services, and more.
- Continue to hold high quality bar for our data tools, to ensure high stability and reliability for Airbnb’s data practitioners.
A Typical Day:
- Build new features to support user’s workflows within our data products (Superset, AI agent for Data, Notebooks)
- Collaborate with teams within Airbnb’s data platform on integrations of our data products within the data platform’s infrastructure.
- Engage with users of our products - 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 users and the team’s operations via lightweight on-call support.
Your Expertise:
- 8+ years of full-time, relevant industry experience, with expertise in building backend or fullstack applications
- Hands-on experience with data (SQL, Data Engineering, Analytics Engineering) or internal data applications development
- Passion for building interactive and delightful user experiences and engaging with users.
Ability to drive cross functional projects including alignment, collaboration and roll out with partner teams and users.
- Appetite for high quality code and robust systems, including observability, reliability.
- Experience with building AI agents, context engineering, AI harness is a plus.
- Expertise with frontend development - HTML, CSS, Typescript, Javascript and modern front-end frameworks such as React is a plus.
- Experience in big data technologies e.g: Airflow, Spark, Trino, etc. is a plus.
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: [email protected]. 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.
Reasonable Accommodations: We are committed to providing reasonable accommodations throughout the recruitment process for applicants with disabilities. If you need assistance, or an accommodation, please let your recruiter know once you are contacted about a role.
A Note on Recruiting Scams: Scammers sometimes pose as Airbnb recruiters to get money or personal information from candidates. A few things that will always be true for Airbnb’s hiring process: our open roles are posted on Airbnb’s Career’s Page at careers.airbnb.com, and our recruiters correspond only from @airbnb.com or @ext.airbnb.com email addresses. Our recruiters will never ask for your Social Security number, bank account details, passport, or payment app information while you are interviewing. We’ll also never ask you to pay a fee, send money, deposit or cash a check, or purchase work-related equipment (such as a company laptop) during the interview process. We encourage candidates to remain vigilant of these recruiting scams and not share sensitive information if you do not believe an individual is actually affiliated with Airbnb.
Skills Required
- 8+ years of full-time relevant industry experience
- Experience building backend or full-stack applications
- Hands-on experience with SQL, data engineering, analytics engineering, or internal data application development
- Ability to drive cross-functional projects, including alignment, collaboration, and rollout with partner teams and users
- Experience building high-quality, robust, observable, and reliable systems
- Passion for building interactive user experiences and engaging with users
- Frontend development expertise with HTML, CSS, TypeScript, JavaScript, and modern frameworks such as React
- Experience building AI agents, context engineering, or AI harnesses
- Experience with big data technologies such as Airflow, Spark, or Trino
Airbnb Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Airbnb and has not been reviewed or approved by Airbnb.
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Fair & Transparent Compensation — Pay ranges and total compensation components are increasingly disclosed, and country-level pay practices avoid location-based cuts, which feedback suggests improves consistency and perceived fairness.
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Healthcare Strength — Comprehensive core health coverage for employees, mental health resources, and substantial dependent support are repeatedly highlighted as robust and a standout element of the package.
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Leave & Time Off Breadth — Generous PTO, a winter shutdown, sabbaticals, and paid volunteer time are described as extensive, with parental leave and phased return options reinforcing time-off flexibility.
Airbnb Insights
What We Do
Airbnb is a community based on connection and belonging—a community that was born in 2008 when two hosts welcomed three guests to their San Francisco home, and has since grown to 4 million hosts who have welcomed over 800 million guest arrivals to about 100,000 cities in almost every country and region across the globe. Hosts on Airbnb are everyday people who share their worlds to provide guests with the feeling of connection and being at home. At Airbnb, we believe that hosts, guests and the communities where we operate are all stakeholders we have a responsibility to serve, and that by serving them alongside our employees and investors, we will build an enduringly successful company.
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