Data Engineering Intern (Master's Level)

Greystar is a leading global real estate platform offering expertise in property management and investment. The Data Engineering Intern will gain hands-on experience in ingesting data into big data platforms and contribute to building scalable solutions while collaborating with experienced engineers and data scientists.

Responsibilities:

• Design and develop data pipelines using Python, PySpark, SQL and other tools
• Use coding agents to speed up the delivery of data pipelines
• Create enterprise-level code and repeatable processes
• Operationalize data pipelines and enhance data quality across both systems and analytics solutions
• Collaborate with data scientists and data architects on multiple projects
• Partner with internal teams to support initiatives and improve performance
• Generate relevant documentation ready for business use

Requirements:

• Quantitative background and analytical problem-solving ability
• Strong working knowledge of Python, PySpark, SQL, GitHub and other tools including Microsoft Office specifically Excel, Word, and PowerPoint
• Strong, precise written and verbal communication skills with ability to articulate complex topics
• High standard of accuracy, attention to detail, and speed under time-sensitive deadlines
• Enrolled in a graduate degree program in Data Engineering, Data Analytics or a related field of study
• Graduating between May 2026-December 2026
• Experience with Azure DevOps, Slack, Microsoft Teams, Cursor, Claude and GitHub Copilot