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Engineering Internship Jobs in Connecticut (NOW HIRING)

$100K/yr

BASIC QUALIFICATIONS: * 6+ months of applied engineering experience (internship, laboratory, and personal/team project experience is applicable) * Enrolled in a graduate program by the start of ...

$100K/yr

BASIC QUALIFICATIONS: * 6+ months of applied engineering experience (internship, laboratory, and personal/team project experience is applicable) * Enrolled in a graduate program by the start of ...

$100K/yr

BASIC QUALIFICATIONS: * 6+ months of applied engineering experience (internship, laboratory, and personal/team project experience is applicable) * Enrolled in a graduate program by the start of ...

$100K/yr

BASIC QUALIFICATIONS: * 6+ months of applied engineering experience (internship, laboratory, and personal/team project experience is applicable) * Enrolled in a graduate program by the start of ...

$100K/yr

BASIC QUALIFICATIONS: * 6+ months of applied engineering experience (internship, laboratory, and personal/team project experience is applicable) * Enrolled in a graduate program by the start of ...

$100K/yr

BASIC QUALIFICATIONS: * 6+ months of applied engineering experience (internship, laboratory, and personal/team project experience is applicable) * Enrolled in a graduate program by the start of ...

$100K/yr

BASIC QUALIFICATIONS: * 6+ months of applied engineering experience (internship, laboratory, and personal/team project experience is applicable) * Enrolled in a graduate program by the start of ...

$100K/yr

BASIC QUALIFICATIONS: * 6+ months of applied engineering experience (internship, laboratory, and personal/team project experience is applicable) * Enrolled in a graduate program by the start of ...

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Engineering Internship information

See Connecticut salary details

$10

$18

$28

How much do engineering internship jobs pay per hour?

As of Jul 30, 2026, the average hourly pay for engineering internship in Connecticut is $18.37, according to ZipRecruiter salary data. Most workers in this role earn between $15.34 and $19.90 per hour, depending on experience, location, and employer.

What is an Engineering Internship?

An Engineering Internship is a temporary position for students or recent graduates to gain practical experience in the engineering field. Interns typically work under the supervision of experienced engineers, assisting with real-world projects, conducting research, and developing technical skills. These internships help students apply their academic knowledge, explore different engineering disciplines, and build a professional network. Most internships last a few months and can be paid or unpaid, depending on the company and location.

What types of projects can I expect to work on during an engineering internship, and how much responsibility will I have?

As an engineering intern, you can expect to work on a variety of projects ranging from assisting with ongoing research and development to supporting design, testing, or manufacturing processes. The level of responsibility often increases as you demonstrate competency, typically starting with supervised tasks and gradually moving toward more independent work. You'll likely collaborate with engineers, project managers, and other interns, gaining hands-on experience with industry-standard tools and practices. This exposure not only helps you apply classroom knowledge but also develops essential teamwork and communication skills highly valued in engineering roles.

What is the difference between Engineering Internship vs Engineering Co-op?

AspectEngineering InternshipEngineering Co-op
CredentialsTypically students or recent graduates; no required certificationsUsually students enrolled in engineering programs; no certifications required
Work EnvironmentShort-term, project-based, often during summerLonger-term, integrated with academic schedule, often semester-based
Employer & Industry UsageCommon in engineering firms, manufacturing, tech companiesCommon in engineering firms, manufacturing, and corporate R&D

Engineering internships and co-ops both provide practical experience in engineering fields. Internships are typically shorter, often during summer, and suited for students exploring careers. Co-ops are longer, integrated with academic programs, offering more in-depth exposure. Both roles help build skills and industry connections, but co-ops usually involve more extended work periods and deeper engagement.

What are the key skills and qualifications needed to thrive as an Engineering Intern, and why are they important?

To thrive as an Engineering Intern, you typically need a strong academic background in engineering principles, problem-solving skills, and progress toward a relevant degree. Familiarity with industry-specific software such as AutoCAD, SolidWorks, MATLAB, or programming languages like Python is often required. Strong teamwork, eagerness to learn, and effective communication skills help interns integrate into project teams and absorb new concepts quickly. These skills and qualities are essential for delivering valuable contributions, adapting to workplace demands, and building a solid foundation for a future engineering career.
What are the most commonly searched types of Engineering jobs in Connecticut? The most popular types of Engineering jobs in Connecticut are:
What cities in Connecticut are hiring for Engineering Internship jobs? Cities in Connecticut with the most Engineering Internship job openings:
Infographic showing various Engineering Internship job openings in Connecticut as of July 2026, with employment types broken down into 30% Internship, 40% Full Time, 20% Part Time, and 10% Temporary. Highlights an 100% In-person job distribution, with an average salary of $38,217 per year, or $18.4 per hour.

Data Engineering Internship (Summer 2027)

Castleton Commodities International, LLC

Stamford, CT • On-site

$122K - $146K/yr

Full-time

Posted 9 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.