Data Engineer, Global Market

Airbnb is a platform where Hosts offer unique stays and experiences, connecting guests with communities in an authentic way.
Data
Mid-Level Software Engineer
Remote
5,000+ Employees
3+ years of experience
AI · Travel

Description For Data Engineer, Global Market

Airbnb, born in 2007, has grown to over 4 million Hosts welcoming more than 1 billion guest arrivals globally. The Global Markets engineering team focuses on evolving guest and host experiences for global markets to accelerate international growth. As a Data Engineer in this team, you'll play a critical role in ensuring trustworthy data for innovation and operations.

Your responsibilities include:

  • Designing, building, and maintaining robust data pipelines
  • Building scalable pipelines using SparkSQL & Scala with Airflow
  • Ensuring data quality, performance, and stability
  • Collaborating with cross-functional teams
  • Improving code and data quality
  • Working across multiple repositories, services, and environments

You'll make a difference by:

  • Bridging the gap between data producers and consumers
  • Increasing confidence in decision-making integrity
  • Enhancing productivity of data consumers across the company

This role is crucial for Airbnb's expansion in under-penetrated global markets, a key pillar of the company's growth strategy. You'll contribute to innovating and adapting the product for every corner of the globe, ensuring users in 220+ countries and regions feel at home.

Airbnb is committed to inclusion and belonging, working with the broadest talent pool possible to foster diverse ideas, innovation, and engagement.

Last updated 21 hours ago

Responsibilities For Data Engineer, Global Market

  • Design, build, and maintain robust data pipelines
  • Build scalable data pipelines using SparkSQL & Scala with Airflow
  • Ensure data quality, performance, and stability
  • Collaborate with cross-functional teams
  • Improve code and data quality
  • Work across multiple repositories, services, and environments

Requirements For Data Engineer, Global Market

Python
Scala
  • 3+ years of relevant industry experience
  • Experience with distributed processing technologies (Hadoop, Spark, Kafka)
  • Expertise with ETL schedulers (Apache Airflow, Luigi, Oozie, AWS Glue)
  • Expert in at least one programming language for data analysis (Python, R)
  • Excellent written and verbal communication skills

Interested in this job?

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