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Internship Data Engineer Intern Jobs in Connecticut

$4.5K - $5.8K/wk

... internship. Your Objectives: * Create technological tools that bring trading strategies to life ... Develop high-performance, large data research platforms * Work in small teams to build the future ...

... internship. Your Objectives: * Create technological tools that bring trading strategies to life ... Develop high-performance, large data research platforms * Work in small teams to build the future ...

Software Engineer - Intern (US)

Greenwich, CT ยท On-site

$4.5K - $5.8K/wk

... internship. Your Objectives: * Create technological tools that bring trading strategies to life ... Develop high-performance, large data research platforms * Work in small teams to build the future ...

Water Engineer Intern

Middletown, CT ยท On-site

$23.75 - $35.62/hr

As a Water Engineer Co-Op/Intern, you will have the opportunity to gain valuable hands-on ... Prior internship or coursework in water/wastewater, water resources, or related sectors. Why ...

Water Engineer Intern

Middletown, CT ยท On-site

$23.75 - $35.62/hr

As a Water Engineer Co-Op/Intern, you will have the opportunity to gain valuable hands-on ... Prior internship or coursework in water/wastewater, water resources, or related sectors. Why ...

This is an opportunity to work on foundational infrastructure, data pipelines, and user-facing AI ... Internship Duration * Full time for a period of 4 to 6 months starting Aug 2025 By submitting this ...

Engineering Intern Opportunities for Students Interns may support one or more engineering areas ... Contribute to system integration, verification, validation, risk analysis, and data-driven ...

Engineering Intern Opportunities for Students Interns may support one or more engineering areas ... Contribute to system integration, verification, validation, risk analysis, and data-driven ...

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Internship Data Engineer Intern information

What are the key skills and qualifications needed to thrive as a data engineer intern?

To thrive as an Internship Data Engineer Intern, you need a solid understanding of data structures, SQL, and programming languages like Python or Java, often supported by coursework or projects in computer science or data engineering. Familiarity with ETL tools, cloud platforms (such as AWS or Azure), and data visualization software is commonly expected. Strong problem-solving abilities, attention to detail, and effective communication skills help interns collaborate and learn quickly. These competencies ensure interns can contribute to data projects, adapt to new technologies, and support data-driven decision-making.

What does a data engineer intern do?

A Data Engineer Intern assists in designing, building, and maintaining the infrastructure needed to collect, store, and analyze data. They typically work with large datasets, helping to ensure data is clean, well-organized, and accessible for analytics or business needs. Interns often collaborate with data scientists and software engineers, learning key skills such as data modeling, ETL (extract, transform, load) processes, and using tools like SQL, Python, and cloud platforms. The role provides hands-on experience in building data pipelines and understanding how data drives decision-making in organizations.

What is the difference between Internship Data Engineer Intern vs Data Engineer?

AspectInternship Data Engineer InternData Engineer
Required CredentialsEnrolled in or recent graduate of a related degree (e.g., Computer Science, Data Science)Bachelor's or higher in Computer Science, Data Engineering, or related field; often requires experience or certifications
Work EnvironmentInternship setting, supervised, part-time or full-time during studiesFull-time professional role, often in a team managing data pipelines and infrastructure
Employer & Industry UsageUsed by tech companies, startups, and organizations offering training opportunitiesUsed across industries like tech, finance, healthcare, and more for data management and analytics

The Internship Data Engineer Intern position is an entry-level, temporary role designed for students or recent graduates gaining hands-on experience. In contrast, a Data Engineer is a full-time professional responsible for building and maintaining data systems. The internship provides foundational exposure, while the Data Engineer role involves ongoing, complex data infrastructure work.

What types of projects and technologies can I expect to work with as a data engineer intern?

As a Data Engineer Intern, you can expect to work on projects involving the development, testing, and maintenance of data pipelines and databases. You'll likely use technologies such as SQL, Python, and cloud platforms like AWS or Azure, depending on the company's stack. Interns often assist with data cleaning, integration, and transforming raw data into usable formats for analytics teams. Collaboration with data scientists, analysts, and senior engineers is common, providing valuable exposure to real-world workflows and teamwork in a data-driven environment.
What are popular job titles related to Internship Data Engineer Intern jobs in Connecticut? For Internship Data Engineer Intern jobs in Connecticut, the most frequently searched job titles are:
What job categories do people searching Internship Data Engineer Intern jobs in Connecticut look for? The top searched job categories for Internship Data Engineer Intern jobs in Connecticut are:
What cities in Connecticut are hiring for Internship Data Engineer Intern jobs? Cities in Connecticut with the most Internship Data Engineer Intern job openings:
Infographic showing various Internship Data Engineer Intern job openings in Connecticut as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Data Engineering Internship (Summer 2027)

Castleton Commodities International, LLC

Stamford, CT โ€ข On-site

$122K - $146K/yr

Full-time

Posted 18 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.