About the job
About Box
Box (NYSE: BOX) is a pioneering leader in Intelligent Content Management, enabling organizations to enhance collaboration, manage content lifecycles, secure vital information, and revolutionize business workflows using enterprise AI. Since our establishment in 2005, we have simplified work for prominent global organizations such as JLL, Morgan Stanley, and Nationwide. Our headquarters is located in Redwood City, California, with offices spread across the United States, Europe, and Asia.
By becoming a part of Box, you will play a pivotal role in advancing our platform. Content is the core of our operations, driving the flow of billions of files and information across teams, departments, and crucial business processes every day, contracts, invoices, employee records, financials, product specifications, marketing assets, and more. Our mission is to infuse intelligence into the realm of content management, empowering our customers to fundamentally transform workflows across their organizations. With the integration of AI and enterprise content, you will be at the forefront of this significant shift in how the world collaborates.
Your Role
As a Data Engineer III at Box, you will be instrumental in expanding our Data Engineering initiatives. You will contribute to the development of the data platform engineering features and capabilities of our cloud cost management platform.
In this role, you will collaborate with a talented team to build data pipelines, support product and analytics team members, data analysts, and data scientists on various data initiatives while ensuring that optimal data delivery architecture is maintained across ongoing projects.
Your Responsibilities
Collaborate with a high-performing team of data engineers and analysts to pinpoint business opportunities and design scalable data solutions.
Develop and take ownership of data pipelines that clean, transform, and aggregate data from diverse sources.
Create and sustain optimal data pipeline architecture.
Assemble complex data sets that satisfy both functional and non-functional business requirements.
Identify, design, and execute internal process enhancements, including automating manual processes and optimizing data delivery.
