Staff Data Engineer, Analytics Data Engineering

Dropbox
Remote - US: Select locationsPosted 24 February 2026

Job Description

<h2>Role Description</h2> <p><span class=" author-d-1gg9uz65z1iz85zgdz68zmqkz84zo2qovwiyz82zz65zz72zz78zz122zz89z1y9z85zz71zz78zxz67zymxl9z74zz73z9vlz78zmg8">Dropbox is looking for a Staff Data Engineer to join our Analytics Data Engineering</span> <span class=" author-d-1gg9uz65z1iz85zgdz68zmqkz84zo2qovwiyz82zz65zz72zz78zz122zz89z1y9z85zz71zz78zxz67zymxl9z74zz73z9vlz78zmg8 h-lparen">(ADE)</span><span class=" author-d-1gg9uz65z1iz85zgdz68zmqkz84zo2qovwiyz82zz65zz72zz78zz122zz89z1y9z85zz71zz78zxz67zymxl9z74zz73z9vlz78zmg8"> 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.</span></p> <p><span class=" author-d-1gg9uz65z1iz85zgdz68zmqkz84zo2qovwiyz82zz65zz72zz78zz122zz89z1y9z85zz71zz78zxz67zymxl9z74zz73z9vlz78zmg8">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.</span></p> <p><span class=" author-d-1gg9uz65z1iz85zgdz68zmqkz84zo2qovwiyz82zz65zz72zz78zz122zz89z1y9z85zz71zz78zxz67zymxl9z74zz73z9vlz78zmg8">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.</span></p> <p><span class=" author-d-iz88z86z86za0dz67zz78zz78zz74zz68zjz80zz71z9iz90z95lz89zy6z71zz79zz84zz68zyz69zupz72zz79zcz69zz76zkz79zp1z66ztz67zxz71zz89zz86zz71z">Our Engineering Career Framework is </span><span class="attrlink url author-d-iz88z86z86za0dz67zz78zz78zz74zz68zjz80zz71z9iz90z95lz89zy6z71zz79zz84zz68zyz69zupz72zz79zcz69zz76zkz79zp1z66ztz67zxz71zz89zz86zz71z"><a class="attrlink" href="https://dropbox.github.io/dbx-career-framework/" target="_blank" data-target-href="https://dropbox.github.io/dbx-career-framework/"><u>viewable by anyone outside the company</u></a></span><span class=" author-d-iz88z86z86za0dz67zz78zz78zz74zz68zjz80zz71z9iz90z95lz89zy6z71zz79zz84zz68zyz69zupz72zz79zcz69zz76zkz79zp1z66ztz67zxz71zz89zz86zz71z"> and describes what’s expected for our engineers at each of our career levels. Check out our blog post on this topic and more </span><span class="attrlink url author-d-iz88z86z86za0dz67zz78zz78zz74zz68zjz80zz71z9iz90z95lz89zy6z71zz79zz84zz68zyz69zupz72zz79zcz69zz76zkz79zp1z66ztz67zxz71zz89zz86zz71z"><a class="attrlink" href="https://dropbox.tech/culture/sharing-our-engineering-career-framework-with-the-world" target="_blank" data-target-href="https://dropbox.tech/culture/sharing-our-engineering-career-framework-with-the-world">here</a></span><span class=" author-d-iz88z86z86za0dz67zz78zz78zz74zz68zjz80zz71z9iz90z95lz89zy6z71zz79zz84zz68zyz69zupz72zz79zcz69zz76zkz79zp1z66ztz67zxz71zz89zz86zz71z">.</span></p> <h2>Responsibilities</h2> <ul> <li><span class=" author-d-1gg9uz65z1iz85zgdz68zmqkz84zo2qovwiyz82zz65zz72zz78zz122zz89z1y9z85zz71zz78zxz67zymxl9z74zz73z9vlz78zmg8">Lead the design and implementation of shared, reusable data models, defining shared fact tables, conformed dimensions, and a semantic/metrics layer that serves as the single source of truth across analytics functions</span></li> <li><span class=" author-d-1gg9uz65z1iz85zgdz68zmqkz84zo2qovwiyz82zz65zz72zz78zz122zz89z1y9z85zz71zz78zxz67zymxl9z74zz73z9vlz78zmg8">Drive standardization of data engineering practices across ADE and functional analytics teams, including pipeline patterns, CI/CD workflows, naming convention ... (truncated, view full listing at source)