About this role
Geneva Trading requires a PMO Data Engineering Intern to address the challenge of transforming operational data into actionable insights for leadership within the Project Management Office. The selected individual will collaborate on building practical data tools that improve how teams plan, track, and make strategic decisions in a fast-paced environment.
Daily contributions involve constructing data pipelines, shaping relational models, and designing scenario analyses to evaluate resource impacts. Additional efforts include applying large language models for automation, creating informative dashboards alongside the Director of PMO, and writing maintainable code following sound engineering practices.
Ideal candidates are enrolled graduate students possessing a solid foundation in Python and SQL who thrive in collaborative settings. This summer internship offers practical exposure to enterprise data engineering and automation without requiring prior full-time industry experience.
What you will do
- Build scripts that extract information from internal systems and APIs for cleaning and organization.
- Structure raw data into relational models to support reporting and trend analysis.
- Explore the application of large language models and machine learning to automate text analysis and improve data quality.
- Assist in developing scenario models to evaluate how resource or staffing changes affect team objectives.
- Collaborate with the Director of PMO to design dashboards and visual reports.
- Write reliable code while following best practices in testing, documentation, and maintainability.
What you need
- Bring hands-on programming experience using Python, specifically with Pandas and NumPy for data tasks.
- Demonstrate an understanding of relational database principles such as tables, keys, and normalization.
- Write SQL queries to retrieve and combine information from multiple sources.
- Maintain active enrollment in a Master's or PhD program focused on Data Science, IT, Computer Engineering, or a related quantitative field.
- Show a willingness to learn, build, ask questions, and take ownership of projects from inception to completion.
Nice to have
- Experience working with REST APIs or JSON/CSV data
- Familiarity with Git or version control tools
- Experience utilizing AI coding assistants to write, debug, and document code efficiently
- Familiarity with AI/LLM APIs or basic machine learning libraries
Skills and tech stack
Questions candidates ask
What is the pay rate for this internship?
The hourly range is $35 to $40 per hour. The final rate depends on the successful candidate's skills, experience, education, and qualifications.
Are benefits included with this position?
This role is a temporary position and therefore is not eligible for Geneva Trading's full-time employee benefits program.
What tools and technologies will I use?
You will use Python with Pandas and NumPy, write SQL queries, and explore Large Language Models, AI coding assistants, and machine learning libraries.