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Dropbox
Build large, scalable analytics pipelines using modern data technologies, define company data assets and models, design data integrations and quality frameworks, and optimize data artifacts.
Requires a BS degree in CS or related field, 5+ years experience with Spark, Python/Java/Scala, SQL, schema design, dimensional data modeling, and Databricks platform.
Dropbox is looking for a Data Engineer to join our Analytics Data Engineering (ADE) team within Data Science & AI Platform. In this role you will build large, scalable analytics pipelines using modern data technologies. This is not a “maintain existing platform” or “make minor tweaks to current code base” kind of role. We are effectively building from the ground up and plan to leverage the most recent Big Data technologies. If you enjoy building new things without being constrained by technical debt, this is the job for you!
Our Engineering Career Framework is viewable by anyone outside the company and describes what’s expected for our engineers at each of our career levels. Check out our blog post on this topic and more here.
On-call work may be necessary occasionally to help address bugs, outages, or other operational issues, with the goal of maintaining a stable and high-quality experience for our customers.
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AI Est. Total Comp
$92,000
Location
Remote - Mexico
Work Type
Remote
Seniority
mid
Experience
5-8 years
Category
Data Engineering
Visa Sponsorship
Unknown
Quality Score
4.5