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Staff Data Engineer, Analytics Data Engineering
Dropbox · Remote - US: Select locations · greenhouse
· fit score 29.0 · 💰 $198K
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 pla
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