Senior Data Engineer

Summary

Join Airbnb's Data Engineering team and build robust data pipelines that power our marketing and payments platforms. You will design, build, and maintain efficient data pipelines processing data from various sources. Collaborate with cross-functional teams to define data requirements and deliver data solutions driving merchandising and sales improvements. Contribute to the broader Data Engineering community, improving code and data quality. This US-remote eligible position requires 5-9+ years of relevant experience with a BS/Masters or 2+ years with a PhD. The role offers a competitive salary, bonus, equity, benefits, and Employee Travel Credits.

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, 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

Benefits

• Bonus
• Equity
• Benefits
• Employee Travel Credits