Full-Stack Software Engineer Internship (Summer 2027)

Castleton Commodities International; Stamford (CT); On-site; USD 34,440,000 - 55,104,000; Full time

Job summary

Castleton Commodities International is seeking motivated Front Office Software Engineering Interns for our Stamford, CT team. You will build software that impacts trading, analytics, and investment workflows, collaborating with data scientists and traders.

You’ll develop in Python, utilize AWS cloud services, and contribute to dashboards and data pipelines. Strong curiosity about financial markets and a fast-paced environment is expected.

Qualifications

• Pursuing a Bachelor’s or Master’s degree in a technical field.
• Expected graduation Winter 2027 or Spring/Summer 2028.
• Strong Python programming experience (Pandas/NumPy).
• Familiarity with Git and software development best practices.
• Interest in financial markets and trading systems.
• Excellent communication in a fast-paced, collaborative setting.

Responsibilities

• Contribute to development of front office software tools for real-time trading, analytics, and visualization.
• Collaborate with traders to optimize pricing models and trading workflows.
• Build Python-based microservices and APIs for data access and automation.
• Create data visualization dashboards integrating KPIs and price curves.
• Work on cloud-native apps using AWS, Kubernetes, and Kafka.
• Assist in DevOps automation with Git, Docker, and CI/CD pipelines.
• Partner with Data Science to integrate ML-driven analytics.

Skills

Python

Data analytics

Problem solving

Education

Bachelor’s or Master’s degree in CS/Engineering or MIS

Tools

AWS

Git

Docker

Kubernetes

Kafka

Snowflake

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, as staying at the forefront of data management and analytics is essential to our investment strategy. 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.