Summary
Greystar is a global real estate platform offering property management, investment management, development, and construction services in rental housing. The Data Engineering Intern will build and operationalize data pipelines, improve data quality, and support enterprise data and analytics initiatives while collaborating with data scientists, architects, and internal teams.
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
Skills
- 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 December 2027 and May 2028
- Helpful but not required: Experience with Azure DevOps, Slack, Microsoft Teams, Cursor, Claude and GitHub Copilot
Qualifications
Must Haves
- 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 December 2027 and May 2028
Nice to Haves
- Helpful but not required: Experience with Azure DevOps, Slack, Microsoft Teams, Cursor, Claude and GitHub Copilot
Benefits
- Executive Speaker Series — hear directly from the people leading the industry
- Business Segment Overviews — get the full picture of how each part of Greystar works
- Mentor Relationships — build connections that go beyond the summer
- Site Visits — see the work happening in the field, up close
- Community Outreach — give back alongside your team
- Networking Opportunities — meet people across the company
- Final Capstone Project
- Employee Assistance Program
- Paid sick time