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Internship Data Engineer C2C Jobs in Connecticut

Ndimensions IT

ASP.NET Developer

Hartford, CT

Role : ASP.NET Developer ( C2C/W2 ) Location : Hartford, Connecticut 06103(Candidate Must Be Local ... This role combines requirements analysis, software development, and data migration validation ...

Kriscon

ASP.NET Developer

Hartford, CT · On-site

Role : ASP.NET Developer ( C2C/W2 ) Location : Hartford, Connecticut 06103(Candidate Must Be Local ... This role combines requirements analysis, software development, and data migration validation ...

USM

Sr. Data Analyst

Windsor, CT · On-site

$45 - $50/hr

... Engineering, Business Intelligence, Data Management, SOA, BPM, Data Warehousing, SharePoint ... Windsor, CT Rate: $45-50/hr on C2C or 1099 and $44/hr on W2 without benefits Consultant need to ...

Gartner

Data Analyst - 2026/2027 graduates

Stamford, CT · On-site

Data Engineering: Assistwith the setup, management, and streamlining of data pipelines for multiple ... Internship and/or academic experience involving analysis of large volumes of data, with hands-on ...

USM

Data Architect

Windsor, CT

$55 - $60/hr

... Engineering, Business Intelligence, Data Management, SOA, BPM, Data Warehousing, SharePoint ... Windsor, CT Rate $55 - 60/hr on C2C or 1099 and $53/hr on W2 without benefits Consultant need to ...

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Internship Data Engineer C2C information

What is an internship data engineer C2C?

An Internship Data Engineer C2C is an entry-level or temporary data engineering position offered on a 'Corp-to-Corp' (C2C) basis, usually for students or recent graduates. The role involves working on projects related to data collection, processing, and management, often under the guidance of senior engineers. C2C means the intern is employed and paid through a third-party company, not directly by the hiring organization. This arrangement is common for contract roles in the tech industry, especially in the United States. Interns in this role gain hands-on experience with databases, data pipelines, and data analytics tools.

What types of projects and responsibilities can an internship data engineer C2C expect to handle, and how do these contribute to professional growth?

As an Internship Data Engineer, you can expect to assist with tasks such as developing data pipelines, cleaning and transforming datasets, and helping to integrate data from various sources. You'll often collaborate closely with data scientists, analysts, and senior engineers to understand business requirements and implement solutions. These hands-on responsibilities provide exposure to industry-standard tools and practices, helping you build a strong technical foundation and teamwork skills. Successfully completing these projects can pave the way for full-time opportunities and further specialization in data engineering.

What are the key skills and qualifications needed to thrive as an internship data engineer C2C, and why are they important?

To thrive as an Internship Data Engineer C2C, you need a solid understanding of data structures, programming (often Python or SQL), and database concepts, typically supported by ongoing studies in computer science or a related field. Familiarity with data engineering tools such as ETL platforms, cloud services (like AWS or Azure), and version control systems (such as Git) is commonly expected. Analytical thinking, attention to detail, and effective teamwork are crucial soft skills for collaborating on projects and troubleshooting complex data problems. These competencies enable you to contribute meaningfully to data pipeline development and ensure reliable data infrastructure in a real-world business context.

What are the most commonly searched types of Data Engineer C2C jobs in Connecticut?

The most popular types of Data Engineer C2C jobs in Connecticut are:

Internship Data Engineer C2C jobs near you

Data Engineering Internship (Summer 2027)

Castleton Commodities International, LLC

Stamford, CT • On-site

$122K - $146K/yr

Full-time

Re-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.

Apply