About the role
<div class="content-intro"><p>We’re in an unbelievably exciting area of tech and are fundamentally reshaping the data storage industry. Here, you lead with innovative thinking, grow along with us, and join the smartest team in the industry.</p> <p>This type of work—work that changes the world—is what the tech industry was founded on. So, if you're ready to seize the endless opportunities and leave your mark, come join us.</p></div><p><strong>THE ROLE</strong></p> <p>As an Engineering Intern on the Master Data Management (MDM) team, you will build the high-fidelity data foundations that power our global enterprise and fuel our AI-driven future. You’ll go beyond theory by shiping code to a real-time platform that synchronizes mission-critical data across the entire organization. Collaborating directly with senior architects, you will solve complex data integrity challenges that have a direct impact on our ability to scale and innovate. This is your chance to move past academic exercises and own technical solutions in a fast-paced, international engineering environment.</p> <p><strong>WHAT YOU’LL DO</strong></p> <ul> <li><strong>Own the Development Lifecycle:</strong> Design, develop, and deploy enhancements to our MDM platform, ensuring high performance and data reliability for downstream business systems.</li> <li><strong>Scale Data Infrastructure:</strong> Contribute to the architecture of real-time data pipelines, transforming raw inputs into "golden records" that serve as the single source of truth for the company.</li> <li><strong>Drive Technical Innovation:</strong> Partner with senior engineers to troubleshoot complex data anomalies and implement automated fixes that reduce manual intervention and improve system uptime.</li> <li><strong>Collaborate Globally:</strong> Work across functional boundaries to translate business requirements into technical specifications, ensuring our data models meet the needs of a diverse set of internal stakeholders.</li> </ul> <p><strong>WHAT YOU BRING</strong></p> <ul> <li><strong>Software Engineering Foundation:</strong> Proficiency in Python or a similar high-level programming language, with the ability to write clean, maintainable, and efficient code.</li> <li><strong>Data Fluency:</strong> Strong command of SQL for complex data manipulation and analysis, ideally with exposure to modern cloud data warehouses like Snowflake.</li> <li><strong>Systems Thinking:</strong> A foundational understanding of cloud infrastructure components—such as AWS Lambda, EC2, and containerization—and how they support distributed applications.</li> <li><strong>Proactive Problem Solving:</str