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Intern - Data Engineering (Data Analytics, Information Sciences, Computer Science Majors)

Simon Property Group
Posted 10 days ago, valid for 17 days
Location

Indianapolis, IN, US

Salary

Competitive

Contract type

Part Time

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Sonic Summary

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  • Simon is seeking a Data Engineering Intern in Corporate Indianapolis to assist in building data models, pipelines, and dashboards for business operations.
  • The internship involves hands-on experience with real SQL and the opportunity to present findings to the Data & Analytics team.
  • Candidates should be pursuing a Bachelor's or Master's degree in a relevant field and possess working knowledge of SQL and Python for data manipulation.
  • Experience with BI tools like Power BI is preferred, along with strong communication skills and attention to detail.
  • The position offers a salary of $20 per hour and requires candidates to have at least 1 year of relevant experience or coursework.

Job Location:

Corporate Indianapolis

Simon 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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