Data Engineer Intern: Build Scalable Data Pipelines

Greystar; Michigan; Hybrid; USD 43,000 - 62,000; Full time

Benefits offered by this job

Employee Assistance Program

Paid sick time

Job summary

Greystar is offering a Summer Internship in Data Engineering to gain hands-on experience building data pipelines and working with enterprise systems. You will collaborate with engineers, scientists, and architects on real projects and contribute to scalable analytics solutions.

The program runs for 10 weeks, emphasizes learning, mentorship, and project delivery. Eligible candidates are enrolled in a graduate degree program with graduation between December 2027 and May 2028, and must be pursuing

Qualifications

• Strong Python, PySpark and SQL skills for building data pipelines and analytics
• Experience with GitHub and office tools (Excel, Word, PowerPoint) for reporting
• Excellent written and verbal communication with attention to detail
• Enrolled in a graduate program in Data Engineering or Data Analytics, graduating Dec 2027–May 2028

Responsibilities

• Design and develop data pipelines using Python, PySpark, SQL and other tools
• Use coding agents to speed up delivery of data pipelines
• Create enterprise-level code and repeatable processes
• Operationalize data pipelines and enhance data quality across 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 documentation ready for business use

Skills

Python

PySpark

SQL

GitHub

Excel

Verbal communication

Written communication

Education

Graduate degree in Data Engineering or Data Analytics

Tools

Azure DevOps

Slack

Microsoft Teams

Cursor

Claude

GitHub Copilot

Job description

Greystar is offering a Summer Internship in Data Engineering to gain hands-on experience building data pipelines and working with enterprise systems. You will collaborate with engineers, scientists, and architects on real projects and contribute to scalable analytics solutions.

The program runs for 10 weeks, emphasizes learning, mentorship, and project delivery. Eligible candidates are enrolled in a graduate degree program with graduation between December 2027 and May 2028, and must be pursuing