Data Engineer, Analytics Data Engineering

dropbox· 79 open roles

Remote RemoteFull-timeToday

Salary

$149,200 - $201,800

Experience

Mid

Job Type

Full-time

Posted

Today

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About This Role

The Data Engineer, Analytics Data Engineering role at Dropbox involves building large, scalable analytics pipelines using modern data technologies. This role requires defining company data assets, designing data integrations, and evaluating open source tools for data lineage. The ideal candidate will have experience with Spark, Python, Java, C++, or Scala development and SQL experience. The role offers the opportunity to work on building new things without being constrained by technical debt.

Key ResponsibilitiesAI-extracted

1
Help define company data assets and design data integrations
2
Design and evaluate open source tools for data lineage
3
Work closely with business units and engineering teams to develop a long-term Data Platform architecture
4
Conceptualize and own the data architecture for multiple large-scale projects
5
Collaborate with engineers, product managers, and data scientists to understand data needs
6
Optimize pipelines, dashboards, frameworks, and systems to facilitate easier development of data artifacts

RequirementsAI-extracted

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
BS degree in Computer Science or related technical field
Excellent product strategic thinking and communications skills

Perks & BenefitsAI-extracted

Typically: health coverage

Typically: paid time off

Typically: retirement savings plan

Typically: opportunities for professional growth and development

Typically: flexible work arrangements, including remote work options

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