Full-Stack Software Engineer Internship (Summer 2027)

Castleton Commodities International, LLC; Stamford (CT); On-site; USD 34,440,000 - 61,992,000; Part time

Job summary

Castleton Commodities International, LLC is seeking motivated Front Office Software Engineering Interns to join our Global Data Science & Technology team in Stamford, CT. You will work on an analytics platform bridging trading, analytics, and investment workflows using Python, cloud tech (AWS), APIs, and Snowflake.

You will collaborate with Software Engineers, Data Scientists, and end users to deliver real-time trading tools, data visualizations, and ML-enabled analytics while gaining exposure

Qualifications

• Pursuing a Bachelor’s or Master’s degree in a technical field such as CS/Engineering/MIS.
• Expected graduation Winter 2027 or Spring/Summer 2028.
• Strong programming experience in Python (Pandas/NumPy).
• Familiarity with Git and software development best practices.
• Interest in financial markets and trading systems.

Responsibilities

• Contribute to development of front office software tools for real-time trading and analytics.
• Collaborate with trading and analytics teams to optimize pricing models and workflows.
• Build Python-based microservices and APIs for data access and operations automation.
• Assist in building data visualization dashboards using libraries like Streamlit and integrate KPIs and price data.
• Participate in cloud-native development using AWS, Kubernetes, and Kafka.
• Support deployment automation with modern DevOps tools (Git, Docker, Helm, CI/CD).
• Work with Data Science team to integrate ML-driven analytics into workflows.

Skills

Python

Pandas

NumPy

Git

Education

Bachelor’s or Master’s degree in Computer Science, Engineering, MIS or related field

Tools

Git

Docker

Kubernetes

Kafka

Snowflake

Streamlit

Job description

Application Deadline

September 1st at 11:59 pm EST

Program Summary

Data Science & Technology Internship

Company Overview

Castleton Commodities International is a leading global energy commodities merchant and infrastructure asset investor. As a trader, CCI deploys capital on a proprietary basis in the physical and financial commodity markets, providing the Company with market insights and access. As a strategic investor and developer, CCI leverages its market expertise, operations capabilities, and industry knowledge to invest in, and develop, select commodity infrastructure assets. Our strategically integrated platform has generated strong risk‑adjusted returns for our investors since our formation.

Position Overview

CCI is developing a leading‑edge analytics platform. We are looking for motivated and detail‑oriented Front Office Software Engineering Interns to join our Global Data Science & Technology team in our Stamford, CT office. This internship is ideal for technically skilled students with a strong interest in building quality software that directly impacts trading, analytics, and investment workflows. You'll collaborate closely with other Software Engineer's, Data Scientist's, and Commercial end users, contributing to our front office platform through hands‑on development projects using Python, cloud technologies (AWS), APIs, and Snowflake.

Responsibilities

• Contribute to the development of front office software tools that support real‑time trading, market data analytics, and visualization.
• Work with the commercial trading team to optimize and re‑engineer pricing models, decision tools, and trading workflows.
• Build and enhance Python‑based microservices and APIs for internal data access and operations automation.
• Assist in building data visualization dashboards using libraries such as Streamlit, integrating commercial KPIs, price curves, and supply/demand analytics.
• Participate in cloud‑native application development using AWS services, including Kubernetes and Kafka.
• Support automation of deployment processes using modern DevOps tools (e.g., Git, Docker, Helm, CI/CD pipelines).
• Collaborate with the Data Science team to help integrate ML‑driven analytics into front office workflows.

Qualifications

• Currently pursuing a Bachelor’s or Master’s degree in Computer Science, Engineering, Management Information Systems, or related technical field of study.
• Expected graduation date of Winter 2027 or Spring/Summer 2028.
• Strong programming experience in Python (preferred libraries: Pandas, NumPy, etc.).
• Familiarity with version control tools (e.g., Git) and software development best practices.
• Strong problem‑solving abilities and an eagerness to learn about financial markets and trading systems.
• Excellent communication skills and ability to work in a fast‑paced, collaborative environment.