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Internship Computer Science Apprenticeship Jobs in New York

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Internship Computer Science Apprenticeship information

What is an internship computer science apprenticeship?

An Internship Computer Science Apprenticeship is a structured program that combines classroom learning with practical, on-the-job experience in computer science. Participants gain hands-on skills in areas such as programming, software development, and IT support while working alongside experienced professionals. These apprenticeships are designed to help individuals build foundational knowledge and prepare for a career in technology. They often last several months and may lead to full-time job opportunities or further education. The program is ideal for students or early-career professionals looking to break into the tech industry.

What types of projects and responsibilities can I expect during an internship computer science apprenticeship?

As a Computer Science Apprenticeship intern, you can expect to be involved in a variety of hands-on projects, such as assisting with software development, debugging code, writing documentation, and collaborating with team members on larger initiatives. You'll often work under the guidance of experienced engineers who provide mentorship and feedback, helping you build both technical and professional skills. While the specific projects may vary, you’ll likely work in an agile team environment, participate in code reviews, and contribute to real-world applications or features. This exposure offers valuable experience and insight into the software development lifecycle, preparing you for future full-time roles.

What are the key skills and qualifications needed to thrive as an internship computer science apprentice, and why are they important?

To thrive as an Internship Computer Science Apprentice, you need foundational programming skills, understanding of computer science principles, and current enrollment in or recent completion of a relevant degree program. Familiarity with programming languages (such as Python or Java), version control systems like Git, and exposure to software development environments are commonly expected. Strong problem-solving skills, eagerness to learn, and effective communication help apprentices contribute and grow in team settings. These abilities are crucial for adapting quickly, delivering value during the apprenticeship, and laying a solid foundation for a future career in tech.

What is the difference between Internship Computer Science Apprenticeship vs Computer Science Intern?

AspectInternship Computer Science ApprenticeshipComputer Science Intern
Required credentialsTypically students or recent graduates; no formal certifications requiredUsually students pursuing a degree in computer science or related field
Work environmentHands-on training, mentorship, real-world projectsAssist with projects, learning-focused tasks
Employer usageCompanies offering structured apprenticeship programsCompanies offering internship opportunities
Common search intentUnderstanding apprenticeship programs, career developmentFinding internship opportunities, gaining experience

The Internship Computer Science Apprenticeship and Computer Science Intern roles both provide valuable industry experience. Apprenticeships often include structured training and mentorship, focusing on skill development for long-term careers. Internships tend to be shorter, project-based, and primarily aimed at gaining initial industry exposure. Both roles are essential stepping stones in a computer science career, but apprenticeships typically offer more comprehensive training and a pathway to full employment.

What cities in New York are hiring for Internship Computer Science Apprenticeship jobs?

Cities in New York with the most Internship Computer Science Apprenticeship job openings:

Internship Computer Science Apprenticeship jobs near you

Full-Stack Software Engineer Internship (Summer 2027)

Castleton Commodities International LLC

Stamford, CT

Full-time

Re-posted yesterday

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

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