Staff Software Engineer, Airbnb
Central Data
$204.3-259k
More information about location
Community marketplace for holiday accomodation
Job no longer available
Community marketplace for holiday accomodation
1001+ employees
Job no longer available
$204.3-259k
More information about location
1001+ employees
Company mission
To create a world where anyone can belong anywhere.
Role
Who you are
- 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
What the job involves
- 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
- 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
- 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
Our take
When Airbnb was originally founded, the product helped customers book air mattresses on people's apartment floors. Since then, Airbnb has had over a billion customers hosted through its platform. With more than 4 million registered hosts worldwide, it has grown into a major player in the hospitality sector.
Airbnb has been successful in disrupting the traditional holiday lettings sector. Before it existed accommodation was limited to hotels and bed and breakfasts, but Airbnb has mainstreamed the idea of renting out spare rooms or even entire homes. It has created a new sector of hosts purchasing properties to rent out on the platform and provides a level of flexibility and a range of offerings not previously possible for travelers.
Perhaps a victim of its own success, by 2022 supply of Airbnb-listed properties began to outstrip demand in some markets, as hosts overestimated the appetite for domestic travel. However, the company is still posting strong financials and has unveiled new tools to support its hosts in a tougher rental market. With a healthy bottom line and a huge user base, Airbnb is very likely to overcome the current market turbulence and continue its growth.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
Few candidates hear
back within 2 weeks
25% employee growth in 12 months
Company
Funding (last 2 of 10 rounds)
Apr 2020
$500m
GROWTH EQUITY VC
Mar 2017
$447.8m
SERIES F
Total funding: $3.8bn
Company benefits
- Paid volunteer time
- Health food and snacks
- Generous parental and family leave
- Learning and development
- Annual travel and experiences credit
Company values
- Champion the Mission: We’re united with our community to create a world where anyone can belong anywhere
- Be a Host: We're caring, open, and encouraging to everyone we work with
- Embrace the Adventure: We’re driven by curiosity, optimism, and the belief that every person can grow
- Be a Cereal Entrepreneur: We’re determined and creative in transforming our bold ambitions into reality
Company HQ
Showplace Square, San Francisco, CA
Articles
Leadership
Brian Chesky
(Co-Founder & CEO)Previously an Industrial Designer, studying at Rhode Island School of Design.
Nathan Blecharczyk
(Co-Founder & CSO)Studied Computer Science at Harvard, and had around 4 years of professional Software Engineering experience before founding Airbnb, including interning at Microsoft.
Joe Gebbia
(Co-Founder)Also studied Industrial Design at Rhode Island, and previously founded various design-related startups
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