Data Engineering Intern

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 support decision‑making and insights. Working alongside experienced engineers, data scientists and architects, you will contribute to building scalable solutions and learn how data is designed, managed and applied across enterprise systems.

Key responsibilities

• Design and develop data pipelines using Python, PySpark, SQL and related tools.
• Use coding agents to accelerate pipeline delivery and create repeatable, enterprise‑level code.
• Operationalize pipelines, improve data quality and support analytics solutions.
• Collaborate with data scientists, data architects and internal teams on multiple projects.

Required profile

• Quantitative background with strong analytical problem‑solving ability.
• Enrolled in a graduate program in Data Engineering, Data Analytics or a related field, graduating between December 2027 and May 2028.
• Precise written and verbal communication skills and high attention to detail under time‑sensitive deadlines.

Required skills

• Python
• PySpark
• SQL
• GitHub
• Microsoft Excel
• Microsoft Word
• Microsoft PowerPoint

What we offer

• 10‑week summer internship (June 2 – August 6 2027) with real projects and responsibility.
• Compensation ranging from $31 to $45 per hour.
• Access to executive speaker series, business segment overviews, mentorship, site visits and networking events.
• Employee Assistance Program and paid sick time for temporary team members.
• Opportunity to present a final capstone project to senior leadership.
• Exposure to multiple business functions such as investment, finance, marketing, IT, leasing, development and operations.