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Internship Validation Engineer Jobs in Connecticut

Electronics Engineer #ESF8554

Groton, CT ยท On-site

$85K - $110K/yr

Design, procure, assemble, and validate custom analog and digital printed circuit boards (PCBs ... Experience designing, integrating, and troubleshooting electronic assemblies through internships ...

Senior Electrical Engineer

Trumbull, CT ยท On-site

$105K - $137K/yr

Lead and mentor interns and junior engineers. * Manage and mentor interns * Communicate key ... a valid agreement with CooperSurgical is in place. In the event a candidate who was submitted ...

... validation approach. * Design and de-bug firmware and electronics systems which complies to IEC ... Lead and mentor interns and junior engineers. Mentor and provide technical leadership for junior ...

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Internship Validation Engineer information

What is the difference between Internship Validation Engineer vs Validation Engineer?

AspectInternship Validation EngineerValidation Engineer
CredentialsTypically pursuing or recently completed relevant degree; no required certificationsRelevant degree; certifications like ISTQB or Six Sigma beneficial
Work EnvironmentInternship setting, supervised, entry-level tasksFull-time professional role, independent responsibilities
Employer & IndustryInternship programs in manufacturing, automotive, or tech industriesEstablished companies in similar industries, focusing on product validation

The Internship Validation Engineer is an entry-level role designed for students or recent graduates gaining practical experience. In contrast, a Validation Engineer is a full-time professional responsible for ensuring product quality and compliance. While both roles involve validation tasks, the internship position offers learning opportunities, whereas the validation engineer role requires more expertise and independence.

What are the most commonly searched types of Validation Engineer jobs in Connecticut? The most popular types of Validation Engineer jobs in Connecticut are:

Data Engineering Internship (Summer 2027)

Castleton Commodities International, LLC

Stamford, CT โ€ข On-site

$122K - $146K/yr

Full-time

Posted 11 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.