Staff Data Engineer

Summary

Join Airbnb's Host Pricing & Settings ML Infra team as a Staff Data Engineer! You will collaborate with Product, Data Science, and ML engineering teams to build and improve data infrastructure for Airbnb's pricing guidance products. This role involves designing and implementing data pipelines, developing data assets for AI/ML, and collaborating with cross-functional teams. You will contribute to long-term data strategies and mentor team members. The position is remote-eligible within the USA, with occasional office work possible. Compensation includes a competitive salary, bonus, equity, benefits, and employee travel credits.

Requirements

• 9+ years of experience with a BS/Masters or 6+ years with a PhD
• Expertise in SQL and proficient in at least one data engineering language, such as Python or Scala
• Experience with Superset and Tableau
• Expertise in large-scale distributed data processing frameworks like Presto or Spark
• Experience with an ETL framework like Airflow
• Extensive knowledge of data management concepts, including data modeling, ETL processes, data warehousing, and data governance
• Understanding of data security and privacy principles, as well as regulatory compliance requirements (e.g., GDPR, CCPA)
• Strong problem-solving skills and the ability to translate business requirements into technical solutions
• Excellent communication skills, both written and verbal, ability to distill complex ideas for technical and non-technical stakeholders
• Strong capability to forge trusted partnerships across working teams

Responsibilities

• Design and implement data pipelines by leveraging best-in-class tools and infrastructure to meet critical business and product requirements
• Develop high quality data assets for product and AI/ML use-cases
• Collaborate with cross-functional teams to gather requirements, assess data needs, and design efficient solutions that align with business objectives
• Contribute to the development of long-term data strategies and roadmaps and ML infrastructure development within the organization
• Influence the trajectory of data in decision making
• Improve trust in our data by championing for data quality across the stack
• Identify and actively work upon opportunities for automation and implement data management tools and frameworks to enhance efficiency and productivity
• Mentor and coach team members, providing guidance in data engineering best practices and support to enhance their skills and performance

Benefits

• Bonus
• Equity
• Benefits
• Employee Travel Credits