Senior Data Engineer, Airbnb

$185-221k

AWS
Scala
Kafka
Airflow
Hadoop
MySQL
Redshift
Spark
HBase
Luigi
BigQuery
Next
Junior, Mid, Senior and Expert level
Remote in US

More information about location

Airbnb

Community marketplace for holiday accomodation

Open for applications

Airbnb

Community marketplace for holiday accomodation

1001+ employees

B2CHospitalityB2BTravelMarketplaceSharing Economy

Open for applications

$185-221k

AWS
Scala
Kafka
Airflow
Hadoop
MySQL
Redshift
Spark
HBase
Luigi
BigQuery
Next
Junior, Mid, Senior and Expert level
Remote in US

More information about location

1001+ employees

B2CHospitalityB2BTravelMarketplaceSharing Economy

Company mission

To create a world where anyone can belong anywhere.

Role

Who you are

  • 5-9+ years of relevant industry experience with a BS/Masters, or 2+ years with a PhD
  • Experience with distributed processing technologies and frameworks, such as Hadoop, Spark, Kafka, and distributed storage systems (e.g., HDFS, S3)
  • Demonstrated ability to analyze large data sets to identify gaps and inconsistencies, provide data insights, and advance effective product solutions
  • Expertise with ETL schedulers such as Apache Airflow, Luigi, Oozie, AWS Glue or similar frameworks
  • Solid understanding of data warehousing concepts and hands-on experience with relational databases (e.g., PostgreSQL, MySQL) and columnar databases (e.g., Redshift, BigQuery, HBase, ClickHouse)
  • Excellent written and verbal communication skills

What the job involves

  • You will partner with the sales and product teams to build data models, to produce actionable that’s integrated with our sales platform to enable hundreds of sales people to more effectively engage with Hosts and help them be more successful on our platform
  • You will also collaborate with data scientists and ML engineers to iterate on the prioritization of recommendations, track conversion, and report on the business impact of this effort to iteratively improve on the quality and impact of our recommendations
  • You will be instrumental in fortifying our defenses against evolving fraud attacks and safety threats by architecting data pipelines that empower trust and safety products
  • Your expertise will play a pivotal role in raising the quality standards of our data assets, thereby enhancing our ability to analyze and respond to risks swiftly and effectively
  • By collaborating closely with cross-functional teams, you'll have the opportunity to shape the future of trust and safety at Airbnb, where every user feels secure throughout their Airbnb experience
  • Your role will extend beyond building robust data pipelines for trust and safety; you'll also be at the forefront of driving innovation and best practices that elevate our data engineering capabilities organization-wide
  • As part of the Guest Data Engineering team, you will closely work with cross-functional partners in Product, Analytics Engineering, Data Science, and ML/AI to produce high quality data tools and assets, ensure data governance, and empower partners to easily find, understand and use data
  • In this role, you will play a pivotal role collaborating with the SEO team to directly impact people's ability to discover Airbnb for their next stay
  • SEO operates at an incredible scale, promoting hundreds of thousands of destinations and experiences spanning a broad range of languages and international locales
  • Data forms the foundation of SEO systems and platforms
  • You will collaborate with a talented cross functional team to set and execute on our data strategy, to directly influence our ability to understand how guests and search engines interact with Airbnb
  • You will solve compelling technical and data modeling challenges to directly influence one of the fastest-growing free and owned marketing channels
  • Design, build, and maintain robust and efficient data pipelines that collect, process, and store data from various sources, including user interactions, listing details, and external data feeds
  • Develop data models that enable the efficient analysis and manipulation of data for merchandising optimization. Ensure data quality, consistency, and accuracy
  • Build scalable data pipelines (SparkSQL & Scala) leveraging Airflow scheduler/executor framework
  • Collaborate with cross-functional teams, including Data Scientists, Product Managers, and Software Engineers, to define data requirements, and deliver data solutions that drive merchandising and sales improvements
  • Contribute to the broader Data Engineering community at Airbnb to influence tooling and standards to improve culture and productivity
  • Improve code and data quality by leveraging and contributing to internal tools to automatically detect and mitigate issues

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 headshot

Kirsty

Company Specialist

Insights

Top investors

Some 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

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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