PMO Data Engineering Intern

Geneva Trading•Chicago, IL
•$35 - $40

About The Position

Geneva Trading is looking for a curious and motivated PMO Data Engineering Intern to join our Project Management Office this summer. This internship is designed for students who want hands-on experience building real data tools that support how teams plan, track, and make decisions. You’ll work with real operational data and help turn it into insights that leadership can use, all while learning in a fast-paced, collaborative trading environment.

Requirements

  • Hands-on experience using Python, especially Pandas and NumPy, for data analysis and transformation.
  • Understanding of how relational databases work (tables, keys, basic normalization).
  • Ability to write queries to pull and combine data from different sources.
  • Currently enrolled in a Master’s or PhD program in Data Science, IT, Computer Engineering, or a related quantitative field.
  • You enjoy building things, asking questions, and taking ownership of a project from start to finish.

Nice To Haves

  • Experience working with REST APIs or JSON/CSV data
  • Familiarity with Git or version control tools
  • Experience utilizing AI coding assistants (e.g., GitHub Copilot, ChatGPT) to write, debug, and document code efficiently
  • Familiarity with AI/LLM APIs (e.g., OpenAI) or basic machine learning libraries (e.g., scikit-learn)

Responsibilities

  • Help build scripts that pull data from internal systems and APIs, then clean and organize it for analysis.
  • Learn how to structure raw data into clear, easy-to-use relational models that support reporting and trend analysis.
  • Explore ways to leverage Large Language Models (LLMs) or machine learning to automate text analysis (like summarizing project updates) or enhance data quality.
  • Assist in creating “what-if” models to explore how changes in staffing or resources could impact team goals.
  • Work closely with the Director of PMO to turn data into dashboards and visuals that tell a clear story.
  • Gain exposure to writing clean, reliable code with best practices around testing, documentation, and maintainability.

Benefits

  • Hourly Range: $35-40/hr
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