Staff Data Engineer, Airbnb
Host Pricing & Settings
$204-260k
More information about location
Community marketplace for holiday accomodation
Be an early applicant
Community marketplace for holiday accomodation
1001+ employees
Be an early applicant
$204-260k
More information about location
1001+ employees
Company mission
To create a world where anyone can belong anywhere.
Role
Who you are
- We are looking for a Staff DE who is passionate about efficient data management, scaled ML infrastructure and helping teams iterate quickly on new ML and GenAI models
- 9+ years of experience with a BS/Masters or 6+ years with a PhD
- Expertise in SQL and proficient in at least one data engineering language, such as Python or Scala
- Experience with Superset and Tableau
- Expertise in large-scale distributed data processing frameworks like Presto or Spark
- Experience with an ETL framework like Airflow
- Extensive knowledge of data management concepts, including data modeling, ETL processes, data warehousing, and data governance
- Understanding of data security and privacy principles, as well as regulatory compliance requirements (e.g., GDPR, CCPA)
- Strong problem-solving skills and the ability to translate business requirements into technical solutions
- Excellent communication skills, both written and verbal, ability to distill complex ideas for technical and non-technical stakeholders
- Strong capability to forge trusted partnerships across working teams
What the job involves
- We are seeking a Staff Data Engineer to join the Host Pricing & Settings ML Infra team
- As a Staff Data Engineer, you will work closely with our Product, Data Science and ML engineering teams to build strategies, programs, and tools to improve the quality, efficiency, and speed of the Host Pricing team’s ML training data and infrastructure
- This team is responsible for the data and infrastructure that drives Airbnb’s Pricing guidance products
- As a Staff Data Engineer in the Host Pricing & Settings team, you will play a pivotal role in defining the vision, technical design, and implementation of systems that ensure the integrity, correctness, efficiency, and consistency of our organization's data to drive the evolution of pricing guidance and personalization for our Host community
- Your expertise in designing and implementing scalable systems will be essential in building a robust data infrastructure that safeguards user data and empowers rapid iteration of ML models
- Design and implement data pipelines by leveraging best-in-class tools and infrastructure to meet critical business and product requirements
- Develop high quality data assets for product and AI/ML use-cases
- Collaborate with cross-functional teams to gather requirements, assess data needs, and design efficient solutions that align with business objectives
- Contribute to the development of long-term data strategies and roadmaps and ML infrastructure development within the organization
- Influence the trajectory of data in decision making
- Improve trust in our data by championing for data quality across the stack
- Identify and actively work upon opportunities for automation and implement data management tools and frameworks to enhance efficiency and productivity
- Mentor and coach team members, providing guidance in data engineering best practices and support to enhance their skills and performance
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
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 HQ
Showplace Square, San Francisco, CA
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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