Airbnb is hiring a
Data Engineer

Summary

Join the Marketing Technology team at Airbnb to provide a state-of-the-art platform and measurement capabilities to enable marketing and product teams to engage with customers effectively. As a data engineer, you will design, build, and maintain robust and efficient data pipelines that collect, process, and store data from various sources. You will collaborate with cross-functional teams to define data requirements and deliver data solutions that drive merchandising and sales improvements.

Requirements

• 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

Responsibilities

• Design, build, and maintain robust and efficient data pipelines that collect, process, and store data from various sources
• 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

Benefits

• Bonus
• Equity
• Benefits
• Employee Travel Credits