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Internship Boeing Computer Science Jobs in New York

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Internship Boeing Computer Science information

What is an internship at Boeing in computer science?

An Internship at Boeing in Computer Science is a temporary position for students or recent graduates to gain practical experience working on projects related to software development, cybersecurity, data analysis, and other computing fields within Boeing. Interns work alongside experienced professionals, contribute to real-world aerospace and defense projects, and develop technical and professional skills. These internships typically last several months and provide valuable insights into careers at Boeing, often serving as a pathway to full-time employment after graduation.

What kinds of projects does a computer science intern typically work on at Boeing?

As a computer science intern at Boeing, you can expect to work on projects ranging from developing software tools to support engineering teams, enhancing cybersecurity measures, to contributing to data analytics solutions for aerospace applications. These projects are designed to solve real-world challenges and directly support Boeing's mission of building innovative aerospace products. Interns often collaborate closely with experienced engineers and participate in team meetings, gaining exposure to the full software development lifecycle within a large, complex organization. This hands-on experience not only builds technical skills but also provides insight into how technology drives innovation and efficiency at Boeing.

What are the key skills and qualifications needed to thrive as a Boeing computer science intern?

To thrive as a Boeing Computer Science Intern, you need a solid understanding of programming languages (such as Java, Python, or C++), software development principles, and must be pursuing a degree in Computer Science or a related field. Familiarity with version control tools like Git, basic knowledge of software engineering methodologies, and experience with relevant operating systems are typically required. Strong problem-solving abilities, effective communication, and teamwork are essential soft skills that set successful interns apart. These skills and qualifications are critical for contributing to real-world projects, collaborating with diverse teams, and adapting to Boeing's high standards for innovation and safety.

What is the difference between Internship Boeing Computer Science vs Software Engineer Intern?

AspectInternship Boeing Computer ScienceSoftware Engineer Intern
Required CredentialsEnrolled in Computer Science or related degree, some coding experienceEnrolled in Computer Science or related degree, coding skills expected
Work EnvironmentCorporate setting, aerospace industry, collaborative teamsTech companies, software development teams, collaborative environment
Employer & Industry UsageBoeing, aerospace and defense industryTech companies, software development industry
Common Search & ComparisonYesYes

Both internships target students pursuing Computer Science degrees with coding skills. The Boeing internship focuses on aerospace applications within Boeing's corporate environment, while the Software Engineer Intern role is more general, often in tech companies. The main differences lie in industry focus and work setting, but both provide valuable experience in software development.

What are the most commonly searched types of Boeing Computer Science jobs in New York?

The most popular types of Boeing Computer Science jobs in New York are:

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

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

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

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

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

Internship Boeing Computer Science jobs near you
Infographic showing various Internship Boeing Computer Science job openings in New York as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, 2% Contract, and 1% Nights. Highlights an 78% Physical, 2% Hybrid, and 20% Remote job distribution.

Data Engineering Internship (Summer 2027)

Castleton Commodities International, LLC

Stamford, CT • On-site

$122K - $146K/yr

Full-time

Re-posted yesterday

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