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Computer Engineering Internships Jobs in Connecticut

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Computer Engineering Internships information

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$46.1K

$115.6K

$130.8K

How much do computer engineering internships jobs pay per year?

As of Aug 21, 2026, the average yearly pay for computer engineering internships in Connecticut is $115,596.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,100.00 and $125,100.00 per year, depending on experience, location, and employer.

What is a computer engineering internship?

Computer engineering internships are short-term work experiences offered by companies, typically to students or recent graduates, that provide practical exposure to the field of computer engineering. These internships allow participants to apply theoretical knowledge from their academic studies to real-world projects, gain hands-on experience with hardware and software systems, and develop professional skills. Interns may work on tasks such as designing circuits, programming embedded systems, or assisting with product testing. Completing an internship can enhance a resume, expand professional networks, and improve job prospects after graduation.

What types of projects and tasks can I expect to work on during a computer engineering internship?

As a computer engineering intern, you'll typically be involved in a variety of hands-on projects ranging from hardware prototyping and circuit design to software development and testing. Interns often assist with debugging, writing code, or supporting system integration tasks under the guidance of experienced engineers. You may also participate in team meetings, collaborate with cross-functional departments such as software, hardware, and quality assurance, and contribute to documentation or research efforts. These experiences provide valuable exposure to industry-standard tools and workflows, helping you build technical and teamwork skills relevant to your future career.

What key skills and qualifications are needed to excel in computer engineering internships, and why are they important?

Computer Engineering Internships typically require foundational knowledge in computer architecture, programming languages (such as C/C++ or Python), and coursework towards a relevant degree. Familiarity with development tools like Git, integrated development environments (IDEs), and possibly hardware description languages or simulation software is often expected. Strong problem-solving abilities, teamwork, and effective communication are standout soft skills for this role. These competencies enable interns to contribute meaningfully to projects, adapt quickly to new technologies, and collaborate efficiently within engineering teams.

What is the difference between Computer Engineering Internships vs Software Engineering Internships?

AspectComputer Engineering InternshipsSoftware Engineering Internships
Required CredentialsTypically pursuing or completed a degree in computer engineering, electrical engineering, or related fieldsUsually pursuing or completed a degree in computer science, software engineering, or related fields
Work EnvironmentHardware labs, embedded systems, firmware development, and hardware-software integrationApplication development, coding, testing, and software design in office or remote settings
Employer & Industry UsageElectronics companies, hardware manufacturers, tech firms focusing on embedded systems
Common Search & Comparison IntentUnderstanding internship differences for career planning in hardware and embedded systems

Computer Engineering Internships focus on hardware, embedded systems, and firmware, while Software Engineering Internships emphasize software development and coding. Both roles require related technical skills but cater to different career paths within the tech industry.

Which internship is best for computer engineering students?

The best internships for computer engineering students typically involve roles in software development, hardware design, or systems engineering, often at technology companies or research labs. These internships usually require proficiency in programming languages like C++, Java, or Python, and familiarity with tools such as Git and Linux. Selecting an internship aligned with your career interests and skill set provides valuable hands-on experience and networking opportunities.

What are popular job titles related to Computer Engineering Internships jobs in Connecticut?

For Computer Engineering Internships jobs in Connecticut, the most frequently searched job titles are:

What job categories do people searching Computer Engineering Internships jobs in Connecticut look for?

The top searched job categories for Computer Engineering Internships jobs in Connecticut are:

Computer Engineering Internships jobs near you
Infographic showing various Computer Engineering Internships job openings in Connecticut as of August 2026, with employment types broken down into 16% Internship, 2% As Needed, 61% Full Time, 14% Part Time, and 7% Temporary. Highlights an 98% In-person, and 2% Hybrid job distribution, with an average salary of $115,596 per year, or $55.6 per hour.

Data Engineering Internship (Summer 2027)

Castleton Commodities International LLC

Stamford, CT

$122K - $146K/yr

Full-time

Re-posted 8 hours 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.

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