Data Engineer, Analytics Data Engineering

🕒 3 days ago

🇺🇸 United States – Remote

💵 $132.6k - $201.8k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

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Dropbox

WebsiteLinkedInAll 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.

📋 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 • Experience designing, building and maintaining data processing systems