Staff Data Engineer, Analytics Data Engineering - Remote

Overview

Dropbox is looking for a Staff Data Engineer to join our Analytics Data Engineering (ADE) team within Data Science & AI Platform. You will be responsible for solving cross-cutting data challenges that span multiple lines of business while driving standardization in how we build, deploy, and govern analytics pipelines across Dropbox.

This is not a maintenance role. We are modernizing our analytics platform, upgrading orchestration infrastructure, building shared and reusable data models with conformed dimensions, establishing a certified metrics framework, and laying the foundation for AI-native data development. You will partner closely with Data Science, Data Infrastructure, Product Engineering, and Business Intelligence teams to make this happen.

You will play a crucial role in establishing analytics engineering standards, designing scalable data models, and driving cross-functional alignment on data governance. You will get substantial exposure to senior leadership, shape the technical direction of analytics infrastructure at Dropbox, and directly influence how data powers product and business decisions.

In Short

• Lead the design and implementation of shared, reusable data models.
• Drive standardization of data engineering practices across ADE and functional analytics teams.
• Partner with Data Infrastructure to modernize orchestration.
• Architect and implement a shift-left data governance strategy.
• Collaborate with Data Science leads and Product Management.
• Reduce operational burden by improving pipeline granularity.
• Evaluate and integrate AI-native tooling into the data development lifecycle.

Requirements

• BS degree in Computer Science or related technical field, or equivalent technical experience.
• 2+ years of experience in data engineering or analytics engineering.
• 2+ years of SQL experience, including complex analytical queries.
• 8+ years of Python development experience.
• Deep expertise in dimensional data modeling and scalable data architecture.
• Strong experience with orchestration tools (Airflow preferred).
• Demonstrated ability to drive cross-team technical alignment.

Benefits

• Exposure to senior leadership and influence on technical direction.
• Opportunity to shape analytics infrastructure.
• Collaborative environment with cross-functional teams.
• Work on modernizing analytics platforms.