Data Engineer, Analytics Data Engineering

Dropbox

Data Engineer at Dropbox building large, scalable analytics pipelines using modern data technologies while leveraging recent Big Data technologies.

Posted 6/1/2026full-timeRemote • 🇺🇸 United StatesMid-LevelSenior💰 $132,600 - $201,800 per yearWebsite

Tech Stack

Tools & technologies

JavaOpen SourcePythonScalaSparkSQL

About the role

Key responsibilities & impact

Help define company data assets (data model), Spark
Help 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
Optimize pipelines, dashboards, frameworks, and systems to facilitate easier development of data artifacts

Requirements

What you’ll need

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
Experience designing, building and maintaining data processing systems

Benefits

Comp & perks

🌐 Worldwide ❌ Jobs You've Hidden ⭐️ Saved Jobs ✅ Applied Jobs ✉️ Email Alerts 👤 Account Dropbox Website LinkedIn All Job Openings 1001 - 5000 employees Founded 2007 🏢 Enterprise ⚡ Productivity Cloud Storage
Enterprise
Productivity Dropbox is a cloud-based service that provides tools for storing, sharing, and accessing files across devices. It offers features such as document sharing, video review, automatic backups, and AI-driven scheduling. Dropbox also provides solutions for different sectors like teams, sales, marketing, and education, and industries including construction, media, technology, and manufacturing. With a focus on security, Dropbox ensures files are encrypted and protected against tampering. It offers integrations with various productivity tools and is trusted by major companies for efficient file management and collaboration. Data Engineer, Analytics Data Engineering 🔥 14 minutes ago 🇺🇸 United States – Remote 💵 $132.6k - $201.8k / year ⏰ Full Time 🟡 Mid-level 🟠 Senior 🚰 Data Engineer 🦅 H1B Visa Sponsor Java Open Source Python Scala Spark SQL Apply Now Find Hiring Managers Customize resume + cover letter Report problem ☆ Save ☑️ Mark as applied ❌ Hide 📋 Description
Help define company data assets (data model), Spark
Help 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
Optimize pipelines, dashboards, frameworks, and systems to facilitate easier development of data artifacts 🎯 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
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Hard Skills & Tools

SparkPythonJavaC++ScalaSQLschema designdimensional data modelingmedallion architecturesdata processing systems

Soft Skills

strategic thinkingcommunicationcollaborationinfluence

Certifications

BS degree in Computer Scienceequivalent technical experience