Hiring.Camp

Software Engineer, Analytics Infrastructure

Airbnb

Location
Brazil
Workplace
Remote
Department
Engineering

Description

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 Apache Superset, Notebook tool and AI for Data chat product 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 Apache Superset through open source collaboration, internal user engagement and direct code contributions. By plugging into the open source community - Superset  releases, roadmap and operational processes, you will help shape and drive new Apache Superset improvements and features and ensure they scale for Airbnb’s user base. 
  • 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 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.

Your Expertise:

  • 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.

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

PythonJavaScriptTypeScriptReactSQLSparkAirflowData Engineering

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