Strategic Overview
Senior Software Engineer, Analytics Infrastructure at Airbnb is a dev opportunity centered on the specialist responsibilities and outcomes described in the employer's listing.
The published role emphasizes work such as 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 role is listed for Brazil with remote working arrangement, giving candidates the practical context needed to assess fit before applying.
Key information at a glance
About This Role
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 Difference You Will Make:
Key Responsibilities & Objectives
- 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…
- 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,…
- Build new features to support user’s workflows within our data products (Superset, AI agent for Data, Notebooks)
Required Qualifications & Candidate Blueprint
- 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
- Experience with building AI agents, context engineering, AI harness is a plus.
Salary & Benefits
The available source data does not publish a numerical salary range for this opening. We do not estimate or substitute third-party figures.
Full Job Description
The following is the complete job description supplied by the source. We sanitize unsafe markup and remove external links, but do not shorten or rewrite the employer's source content.
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: 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.
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.
Editor’s Market Perspective (Our Custom Analysis)
Why This Position Matters
This dev opening is a useful opportunity for candidates whose experience matches the role-specific capabilities named in the listing. Its strongest career signal is the scope of the work itself — particularly 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… — rather than a generic title alone.
Resume & Application Strategy
For the application, mirror the employer's language where it truthfully matches your background: foreground the role-specific capabilities named in the listing, quantify outcomes from comparable work, and place the most relevant experience near the top of the resume. If the listing specifies tools, platforms, leadership scope, or domain experience, use those exact terms in context instead of presenting an unrelated keyword list.
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