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About the Role
As a Data Engineering Intern, you will gain hands-on experience ingesting data into big data platforms and making it available to the business to support decision making and insights. Working alongside experienced engineers, scientists, and architects, you’ll contribute to building scalable solutions and learn how data is designed, managed, and applied across enterprise systems. This role offers exposure to real-world projects in a collaborative environment, with opportunities to sharpen technical skills and develop a strong foundation for a future career in data and analytics.
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
- Helpful but not required: Experience with Azure DevOps, Slack, Microsoft Teams, Cursor, Claude and GitHub Copilot
- Enrolled in a graduate degree program in Data Engineering, Data Analytics or a related field of study
- Graduating between December 2027 and May 2028
Skills
- Python
- PySpark
- SQL
- GitHub
- Microsoft Office
- Excel
- Word
- PowerPoint
- Azure DevOps
- Slack
- Microsoft Teams
- Cursor
- Claude
- GitHub Copilot
Work Type
- Internship
- Summer Internship
Experience Level
- Intern
Education Level
- Graduate degree program in Data Engineering, Data Analytics or a related field of study
Salary/Compensations
- $31-$45/hour
Benefits
- Employee Assistance Program
- Paid sick time
About the Company
- Greystar is a leading, fully integrated global real estate platform offering expertise in property management, investment management, development, and construction services in institutional-quality rental housing.
- Headquartered in Charleston, South Carolina, Greystar manages and operates over $350 billion of real estate in more than 260 markets globally with offices throughout North America, Europe, South America, and the Asia-Pacific region.
- Greystar is the largest operator of apartments in the United States, managing over one million units/beds globally.
- Across its platforms, Greystar has nearly $79 billion of assets under management, including over $34 billion of development assets and over $36.5 billion of regulatory assets under management.
- Greystar was founded by Bob Faith in 1993 to become a provider of world-class service in the rental residential real estate business.
Equal Opportunity
- Greystar is an equal opportunity employer and does not discriminate in employment on the basis of race, color, religion, sex (including pregnancy, sexual orientation, and gender identity), national origin, age, disability, genetic information, military or veteran status, or any other characteristic protected by applicable law.