Full-Stack Software Engineer Internship (Summer 2027)

Reposted 2 Days Ago
Be an Early Applicant
2 Locations
In-Office
Internship
Energy
The Role
Summer internship building front-office analytics and trading tools: develop Python microservices and APIs, create Streamlit dashboards, work with AWS, Kubernetes, Kafka, Snowflake, and CI/CD to support trading workflows and integrate ML-driven analytics.
Summary Generated by Built In

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.Top of Form

    Skills Required

    • Pursuing a Bachelor's or Master's in Computer Science, Engineering, Management Information Systems, or related technical field of study
    • Expected graduation Winter 2027 or Spring/Summer 2028
    • Strong programming experience in Python
    • Familiarity with version control tools (e.g., Git) and software development best practices
    • Experience or familiarity with cloud technologies (AWS) and Snowflake
    • Experience or familiarity with Kubernetes and Kafka
    • Experience or familiarity with data visualization tools/libraries such as Streamlit
    • Experience or familiarity with containerization and DevOps tools (Docker, Helm, CI/CD pipelines)
    • Experience building or integrating APIs and microservices
    • Preferred libraries: Pandas, NumPy
    • Strong problem-solving abilities and eagerness to learn about financial markets and trading systems
    • Excellent communication skills and ability to work in a fast-paced, collaborative environment
    Am I A Good Fit?
    beta
    Get Personalized Job Insights.
    Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.

    The Company
    HQ: Stamford, CT
    573 Employees
    Year Founded: 2001

    What We Do

    Castleton Commodities International is an independent global energy commodity 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.

    Similar Jobs

    Applied Systems Logo Applied Systems

    Senior Project Manager

    Cloud • Insurance • Payments • Software • Business Intelligence • App development • Big Data Analytics
    Remote or Hybrid
    3 Locations
    3079 Employees
    100K-130K Annually

    Liberty Mutual Insurance Logo Liberty Mutual Insurance

    Inside Sales Representative

    Artificial Intelligence • Fintech • Insurance • Marketing Tech • Software • Analytics
    Remote or Hybrid
    9 Locations
    40000 Employees
    44K-100K Annually

    Tapestry - Coach and Kate Spade Logo Tapestry - Coach and Kate Spade

    Store Manager

    eCommerce • Fashion • Retail • Sales • Wearables • Design
    Hybrid
    Frisco, TX, USA
    16000 Employees
    62K-94K Annually

    PwC Logo PwC

    Cybersecurity - Identity and Access Management - Sr Manager

    Artificial Intelligence • Professional Services • Business Intelligence • Consulting • Cybersecurity • Generative AI
    Hybrid
    21 Locations
    370000 Employees
    124K-280K Annually

    Similar Companies Hiring

    UL Solutions Thumbnail
    Automotive • Professional Services • Software • Consulting • Energy • Chemical • Renewable Energy
    Chicago, IL
    15000 Employees
    Runwise Thumbnail
    Greentech • Hardware • Real Estate • Software • Energy • PropTech
    New York, NY
    199 Employees
    Energy CX Thumbnail
    Greentech • Professional Services • Business Intelligence • Consulting • Energy • Financial Services • Utilities
    Chicago, IL
    108 Employees

    Sign up now Access later

    Create Free Account

    Please log in or sign up to report this job.

    Create Free Account