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Internship Marine Computer Science Jobs in New York

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Internship Marine Computer Science information

What are the key skills and qualifications needed to thrive as an intern in marine computer science?

To thrive as an Internship Marine Computer Science, a solid background in computer science fundamentals, programming (such as Python or MATLAB), and basic understanding of marine science concepts is essential, often supported by ongoing undergraduate studies in a related field. Familiarity with data analysis tools, remote sensing software, and version control systems like Git is typically required. Strong analytical thinking, attention to detail, and effective teamwork skills help interns excel in collaborative research environments. These competencies enable interns to contribute meaningfully to projects, process complex marine data, and adapt to the interdisciplinary nature of marine technology.

What types of projects or tasks can an intern in marine computer science expect to work on during their internship?

As a Marine Computer Science intern, you can expect to work on a variety of projects involving data analysis, software development, and simulation for marine applications. Common tasks include assisting with the development of algorithms for oceanographic data collection, supporting the integration of sensors and software on autonomous underwater vehicles, and contributing to research on marine ecosystem modeling. Interns often collaborate closely with researchers, engineers, and other interns, gaining hands-on experience in both fieldwork and laboratory settings. This exposure provides a strong foundation for future roles in marine technology or research.

What is the difference between Internship Marine Computer Science vs Marine Software Developer?

AspectInternship Marine Computer ScienceMarine Software Developer
CredentialsEnrolled in or recent graduate of Computer Science or Marine Engineering programsBachelor's or higher in Computer Science, Software Engineering, or related fields
Work EnvironmentMarine research vessels, offshore platforms, or maritime facilitiesOffshore or onshore software development teams in maritime industries
Industry UsageUsed as a training role for students interested in marine techFull-time role developing maritime software solutions
Search & Comparison IntentInternship opportunities in marine tech and computer scienceCareer in maritime software development

While both roles involve computer science skills in marine settings, an Internship Marine Computer Science is a temporary training position for students, whereas a Marine Software Developer is a full-time professional role focused on developing maritime software solutions.

What is an internship in marine computer science?

An Internship in Marine Computer Science is a temporary position designed for students or recent graduates to gain practical experience working with technology and software related to marine environments. Interns typically assist with tasks such as data analysis, programming, modeling of oceanographic processes, or developing software for marine research applications. These internships provide valuable hands-on learning, exposure to real-world marine technology projects, and networking opportunities within the marine science and technology industries.

What are popular job titles related to Internship Marine Computer Science jobs in New York?

For Internship Marine Computer Science jobs in New York, the most frequently searched job titles are:

What job categories do people searching Internship Marine Computer Science jobs in New York look for?

The top searched job categories for Internship Marine Computer Science jobs in New York are:

Internship Marine Computer Science jobs near you
Infographic showing various Internship Marine Computer Science job openings in New York as of July 2026, with employment types broken down into 32% Full Time, 52% Part Time, and 16% Temporary. Highlights an 100% In-person job distribution.

Data Engineering Internship (Summer 2027)

Castleton Commodities International, LLC

Stamford, CT • On-site

$122K - $146K/yr

Full-time

Posted 27 days ago

Job description

Application Deadline: September 1, 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 Data Science 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 Data Engineering Interns to join our Global Data Science & Technology team in Houston, TX, Stamford, CT, & New York City offices. The Data Engineering Intern will work closely with our Data Science, Data Engineering and Commercial teams to build and optimize data pipelines that power our analytics, forecasting, and investment decision-making processes. This is a hands-on technical internship ideal for someone who enjoys solving real-world data challenges, especially around ingesting, scraping, and managing large datasets across the commodity markets.
Responsibilities:
  • Develop and maintain robust data ingestion pipelines from various internal and external sources, including APIs, FTP endpoints, and cloud data providers.
  • Develop data ingestion and transformation pipelines using Python and SQL, publishing Snowflake for downstream use in analytics and forecasting tools.
  • Work on data architecture and data management projects for both new and existing data sources.
  • Design and implement ETL processes to clean, normalize, and store structured and semi-structured data in Snowflake, our core relational data warehouse.
  • Analyze data pipeline performance and implement optimizations to improve efficiency and reliability.
  • Conduct data quality checks and build validation logic to identify anomalies and ensure data integrity for use by commercial trading and analytics teams.
  • Automate data workflows using Python, SQL, and orchestration tools (e.g., Airflow or similar).
  • Assist in transitioning legacy datasets and codebases into scalable, cloud-native workflows aligned with our modern data architecture.
  • Document data sources, pipeline logic, and data models to ensure maintainability and knowledge transfer.

Qualifications:
  • Currently pursuing a Bachelor's or higher degree in Computer Science, Engineering, Management Information Systems, or related technical field.
  • Expected graduation date of Winter 2027 or Spring/Summer 2028.
  • Strong programming experience in Python (preferred libraries: pandas, NumPy, SQL alchemy, etc.).
  • Strong understanding of SQL and experience querying relational databases (Snowflake a plus).
  • Exposure to or interest in cloud platforms (e.g., AWS, Azure), particularly with cloud data storage and compute.
  • Familiarity with web scraping frameworks and handling large-scale structured and unstructured data sources.

Apply