A Typical Day:
- Develop and automate large scale, high-performance data processing systems (batch and/or streaming) to drive Airbnb business growth and improve the product experience.
- Build scalable Spark data pipelines leveraging Airflow scheduler/executor framework
- Design our data models for optimal storage and retrieval and to meet critical product and business requirements.
- Understand and influence logging to support our data flow, architecting logging best practices where needed
- Contribute to shared Data Engineering tooling & standards to improve the productivity and quality of output for Data Engineers across the company
- Improve data quality by using & improving internal tools to automatically detect issues
Your Expertise:
- 2-4 years of relevant industry experience with a Bachelor's degree, preferably in CS, or a Master's degree in lieu of industry experience
- Demonstrated ability to analyze large data sets to identify gaps and inconsistencies, provide data insights, and advance effective product solutions
- Experience designing and deploying high performance systems with reliable monitoring and logging practices
- Working knowledge of relational databases and query authoring (SQL).
- Excellent communication skills, both written and verbal
How We'll Take Care of You:
Our job titles may span more than one career level. The starting base pay for this role is between $134,000 and $179,500. The actual base pay is dependent upon many factors, such as: training, transferable skills, work experience, business needs and market demands. The base pay range is subject to change and may be modified in the future. This role may also be eligible for bonus, equity, benefits, and Employee Travel Credits.
How We'll Take Care of You:
Pay Range
$184,900 USD