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Commodity Internship Jobs (NOW HIRING)

Wholesale Banking | Risk | Summer 2027 Internship | New York About ING In Americas, ING's Wholesale ... fx); commodity as well as bank asset/liability mgmt; and contribute to the teams efforts to ...

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Commodity Internship information

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How much do commodity internship jobs pay per hour?

As of Aug 13, 2026, the average hourly pay for commodity internship in the United States is $16.33, according to ZipRecruiter salary data. Most workers in this role earn between $14.42 and $19.23 per hour, depending on experience, location, and employer.

What is the difference between Commodity Internship vs Commodity Analyst?

AspectCommodity InternshipCommodity Analyst
Required CredentialsTypically pursuing or recent graduate in related fieldBachelor's or higher in finance, economics, or related field
Work EnvironmentInternship programs, entry-level, temporaryFull-time, professional role, analytical focus
Employer & Industry UsageUsed by trading firms, commodity companies, and financial institutions for trainingUsed by trading desks, commodity firms, and investment firms for analysis

While a commodity internship provides hands-on experience and training in the commodity trading industry, a commodity analyst performs ongoing market analysis, forecasting, and decision support. Internships are entry-level opportunities, whereas analysts hold more permanent, specialized roles.

More about Commodity Internship jobs
What cities are hiring for Commodity Internship jobs? Cities with the most Commodity Internship job openings:
What are the most commonly searched types of Commodity jobs? The most popular types of Commodity jobs are:
What states have the most Commodity Internship jobs? States with the most job openings for Commodity Internship jobs include:
Infographic showing various Commodity Internship job openings in the United States as of August 2026, with employment types broken down into 12% Internship, 63% Full Time, 22% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $33,957 per year, or $16.3 per hour.

Full-Stack Software Engineer Internship (Summer 2027)

Castleton Commodities International LLC

Houston, TX • On-site

Full-time

Posted 22 days ago


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.Top of Form