Staff Data Engineer, Analytics Data Engineering

Dropbox is looking for a Staff Data Engineer to join our Analytics Data Engineering (ADE) team within Data Science & AI Platform. The role involves solving cross-cutting data challenges, driving standardization in analytics pipelines, and establishing analytics engineering standards. The Staff Data Engineer will partner closely with Data Science, Data Infrastructure, Product Engineering, and Business Intelligence teams to modernize the analytics platform, upgrade orchestration infrastructure, and build shared and reusable data models.

Requirements

• BS degree in Computer Science or related technical field, or equivalent technical experience
• 12+ years of experience in data engineering or analytics engineering with increasing scope and technical leadership
• 12+ years of SQL experience, including complex analytical queries, window functions, and performance optimization at scale (Spark SQL)
• 8+ years of Python development experience, including building and maintaining production data pipelines
• Deep expertise in dimensional data modeling, schema design, and scalable data architecture, with hands-on experience building shared data models across multiple business domains
• Strong experience with orchestration tools (Airflow strongly preferred) and dbt, including pipeline design, scheduling strategies, and failure recovery patterns

Benefits

• Generous Paid Time Off
• 401k Matching
• Retirement Plan
• Four Day Work Week