PMO Data Engineering Intern

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. 

What You’ll Work On 

• Data Pipelines: Help build scripts that pull data from internal systems and APIs, then clean and organize it for analysis. 

• Data Modeling: Learn how to structure raw data into clear, easy-to-use relational models that support reporting and trend analysis. 

• Applied AI & Automation: Explore ways to leverage Large Language Models (LLMs) or machine learning to automate text analysis (like summarizing project updates) or enhance data quality. 

• Scenario Analysis: Assist in creating “what-if” models to explore how changes in staffing or resources could impact team goals. 

• Dashboards & Insights: Work closely with the Director of PMO to turn data into dashboards and visuals that tell a clear story. 

• Production Experience: Gain exposure to writing clean, reliable code with best practices around testing, documentation, and maintainability. 

What We’re Looking For 

• Python Experience: Hands-on experience using Python, especially Pandas and NumPy, for data analysis and transformation. 

• Data Basics: Understanding of how relational databases work (tables, keys, basic normalization). 

• SQL Skills: Ability to write queries to pull and combine data from different sources. 

• Student Status: Currently enrolled in a Master’s or PhD program in Data Science, IT, Computer Engineering, or a related quantitative field. 

• Eagerness to Learn: You enjoy building things, asking questions, and taking ownership of a project from start to finish. 

Nice to Have (Not Required) 

• 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) 

Compensation: 

Hourly Range: $35-40/hr The final hourly rate will be dependent on the successful candidate's skills, experience, education, and qualifications. This role is a temporary position and therefore is not eligible for Geneva Trading’s full-time employee benefits program. 

Application expected to close: 12/23/2026