Data Engineer
Role Description 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.
What this role actually needs.
Role Description 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. Responsibilities: - Define company data assets (data model), S park, S parkSQL jobs to populate data models - Define and design data integrations, data quality frameworks and design and evaluate open source/vendor tools for data lineage - Work closely with Dropbox business units and engineering teams to develop strategy for long term Data Platform architecture to be efficient, reliable and scalable - Conceptualize and own the data architecture for multiple large-scale projects, while evaluating design and operational cost-benefit tradeoffs within systems - Collaborate with engineers, product managers, and data scientists to understand data needs, representing key data insights in a meaningful way - Design, build, and launch collections of sophisticated data models and visualizations that support multiple use cases across different products or domains Requirements: - 5 + years of Spark, Python, Java, C++, or Scala development experience - 5 + years of SQL experience - 5 + years of experience with schema design, dimensional data modeling, and medallion architectures - Experience with the Databricks platform and data lake architectures for large-scale data processing and analytics - Excellent product strategic thinking and communications to influence product and cross-functional teams by identifying the data opportunities to drive impact - BS degree in Computer Science or related technical field involving coding (e.g., physics or mathematics), or equivalent technical experience Company context: Dropbox is the public smart-workspace company building file collaboration, signature, and AI-assisted document tools.
Day-to-day expectations
Dropbox lists these responsibilities for the Data Engineer role.
- Define company data assets (data model), S park, S parkSQL jobs to populate data models
- Define and design data integrations, data quality frameworks and design and evaluate open source/vendor tools for data lineage
- Work closely with Dropbox business units and engineering teams to develop strategy for long term Data Platform architecture to be efficient, reliable and scalable
- Conceptualize and own the data architecture for multiple large-scale projects, while evaluating design and operational cost-benefit tradeoffs within systems
- Collaborate with engineers, product managers, and data scientists to understand data needs, representing key data insights in a meaningful way
- Design, build, and launch collections of sophisticated data models and visualizations that support multiple use cases across different products or domains
What a strong candidate brings
These requirements are extracted from the source listing and normalized for UpJobz readers.
- 5 + years of Spark, Python, Java, C++, or Scala development experience
- 5 + years of SQL experience
- 5 + years of experience with schema design, dimensional data modeling, and medallion architectures
- Experience with the Databricks platform and data lake architectures for large-scale data processing and analytics
- Excellent product strategic thinking and communications to influence product and cross-functional teams by identifying the data opportunities to drive impact
- BS degree in Computer Science or related technical field involving coding (e.g., physics or mathematics), or equivalent technical experience
Why this listing is more than a copied job post.
Data Engineer is framed against UpJobz source checks, country scope, compensation visibility, and work-authorization signals so candidates can make a faster go/no-go decision.
Mexico tech market
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Compensation read
The employer source does not expose a reliable salary range, so candidates should ask for compensation early instead of waiting until late-stage interviews.
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Current extracted signal: Open to TN, H-1B, and OPT candidates already in the United States. UpJobz treats this as a search signal, not legal advice, and links visa-sensitive roles back to the relevant visa hub where possible.
Location read
Because this is remote, country scope and time-zone expectations matter as much as the title. Confirm the employer's allowed work locations on jobs.dropbox.com.
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Apply through the employer source
Open the source listing from jobs.dropbox.com, confirm the role is still active, then apply on the employer or ATS page.
Source: jobs.dropbox.com · Source ID: 7739553 · Confidence: 88/100 · Last checked: May 7, 2026
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