Staff Data Engineer

DropboxDropbox·Remote(Remote - Mexico)
Software Development

WFA Digital Insight

The demand for skilled data engineers has surged, with companies like Dropbox leading the charge in analytics platform modernization. With a 25% growth in remote data engineering roles last year, this position offers a unique chance to shape technical direction and influence business decisions. Before applying, candidates should be aware of the company's emphasis on innovation and collaboration.

Job Description

About the Role

Dropbox is seeking a Staff Data Engineer to join the Analytics Data Engineering (ADE) team within the Data Science & AI Platform. This role involves solving complex data challenges across 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 and design scalable data models
  • Drive cross-functional alignment on data governance

Requirements

  • Proven experience in data engineering and analytics platform development
  • Strong understanding of data governance and standardization

Benefits

  • Opportunities for professional growth and exposure to senior leadership
  • Chance to influence technical direction and business decisions

How to Stand Out

  • Familiarize yourself with cloud-based data engineering tools and AI-native data development principles to stand out in the application process.
  • Prepare examples of your experience with data governance and standardization to discuss during interviews.
  • Showcase your ability to collaborate with cross-functional teams and drive alignment on data governance.
  • Be prepared to discuss your understanding of analytics platform modernization and how you can contribute to it.
  • Highlight any experience you have with establishing analytics engineering standards and designing scalable data models.

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