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