Staff Data Engineer, Analytics Data Engineering

DropboxDropbox·Remote(Remote - US: Select locations)·Work From Anywhere
Data & Analytics

WFA Digital Insight

As demand for data-driven insights grows, companies like Dropbox are seeking skilled data engineers to modernize their analytics platforms. With a 25% increase in remote data engineering roles in 2025, candidates with expertise in scalable data models and cross-functional collaboration are in high demand. Before applying, consider how your skills align with Dropbox's vision for AI-native data development and what you can bring to their Data Science & AI Platform team.

Job Description

About the Role

Dropbox is seeking a Staff Data Engineer to join their Analytics Data Engineering team within the Data Science & AI Platform. This role involves solving complex data challenges that span multiple business lines and driving standardization in analytics pipelines.

Responsibilities

  • Partner with Data Science, Data Infrastructure, Product Engineering, and Business Intelligence teams to modernize the analytics platform
  • Establish analytics engineering standards, design scalable data models, and drive cross-functional alignment on data governance

Requirements

  • Expertise in solving cross-cutting data challenges and driving standardization in analytics pipelines
  • Ability to partner closely with various teams and senior leadership

How to Stand Out

  • Develop a strong portfolio showcasing your experience with scalable data models and analytics pipelines
  • Highlight your ability to collaborate with cross-functional teams and drive data governance standards
  • Familiarize yourself with Dropbox's Engineering Career Framework to understand the company's expectations and growth opportunities
  • Practice explaining complex data concepts to non-technical stakeholders, as this is a key aspect of the role
  • Be prepared to discuss your experience with modern analytics platforms and AI-native data development

This is a remote position listed on WFA Digital, the platform for professionals who work from anywhere. Browse more remote jobs across all categories.