Salary
≈ $22k – $46k per year (Estimated)
Location
In office (Indianapolis)
Seniority
Intern
Employment
Internship
Confirmed on the employer's own hiring board on Oct 25, 2026. First seen by Alion on Sep 4, 2026. Simon Property Group scores B on the Alion truth index.
Overview
Company
Impact
Profile match
Simon Property Group is a real estate investment trust (REIT) and commercial real estate enterprise specializing in the ownership, development, and management of premier shopping, dining, entertainment, and mixed-use destinations. The company operates a global portfolio of commercial assets - including regional shopping malls, Premium Outlets, lifestyle centers, and The Mills properties - across North America, Europe, and Asia. Headquartered in Indianapolis, Indiana, it functions as an S&P 100 company and one of the world's largest retail real estate owners.
Job Location:
Corporate IndianapolisSimon is looking for a Data Engineering Intern to help build the data models, data pipelines, semantic models and dashboards our business runs on. You'll work alongside data engineers, data scientists and BI developers to turn raw data from marketing, media, leasing, operations into clean, trusted datasets that decision-makers actually use. This is a hands-on data engineering internship. You'll write real SQL, ship real models, and see your work land in front of business stakeholders.
RESPONSIBILITIES
- Build data pipelines to connect to and ingest data from various data sources
- Build, enhance, document data models in our Fabric and Snowflake data platforms
- Profile source data, investigate discrepancies, and improve data quality
- Partner with analysts to translate business questions into reusable datasets
- Build/enhance data agents as needed
- Develop and refine dashboards and reports in Power BI as needed
- Present your summer project and findings to the Data & Analytics team
QUALIFICATIONS
- Pursuing a Bachelor's or Master's in Data Analytics, Information Systems, Computer Science, AI, Statistics or a related field
- Working knowledge of SQL (joins, aggregations, window functions)
- Working knowledge of Python for data manipulation
- Exposure to a BI tool (Power BI, Tableau, Looker) through coursework, projects, or prior internships
- Clear written and verbal communication; comfort asking questions and explaining your reasoning
- Strong attention to detail and genuine curiosity about how a business works
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