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Internship Data Center Infrastructure Engineer Jobs in Connecticut

Site Design Engineer

South Windsor, CT ยท On-site

$35 - $37/hr

Experience with data center infrastructure or critical power systems . * Hands-on experience with ... Engineering Secondary Skills: Data Centers, Generators, Microgrids, BESS/Energy Storage, Modular ...

Data Center Technician

Norwich, CT ยท On-site

$69K/yr

As a CBRE Data Center Technician, you will perform preventative maintenance and corrective repairs ... What You'll Do: * Assist with daily site inspections of all Mechanical & Engineering systems and ...

The Network Engineer will work closely with the Security and Desktop Support teams to maintain ... Participate in infrastructure migrations, server moves, storage migrations, and data center ...

Software Engineer, Data, AI & UX

Stamford, CT ยท On-site

$122K - $146K/yr

About the Role As a member of the Data team, you will build the services, infrastructure, and data ... This role sits at the intersection of backend software engineering and data engineering. You will ...

Software Engineer, Data, AI & UX

Stamford, CT ยท On-site

$122K - $146K/yr

About the Role As a member of the Data team, you will build the services, infrastructure, and data ... You'll work closely with other engineering teams, data consumers, and infrastructure specialists to ...

Showing results 21-40

Internship Data Center Infrastructure Engineer information

What does an internship data center infrastructure engineer do?

An Internship Data Center Infrastructure Engineer assists with the design, maintenance, and optimization of data center hardware and systems. Interns typically support senior engineers in tasks such as monitoring server performance, troubleshooting network issues, and ensuring the physical and logical security of data center assets. They may also help with documentation, equipment installation, and implementing best practices to maintain high availability and reliability. This role provides hands-on experience with the technologies and processes that keep modern data centers running efficiently.

What types of projects and responsibilities can an internship data center infrastructure engineer expect to work on during their internship?

As an Internship Data Center Infrastructure Engineer, you can expect to participate in a variety of hands-on projects, such as assisting with the installation and maintenance of server hardware, monitoring network performance, and supporting the implementation of cooling and power systems. You'll often work closely with senior engineers and IT teams to troubleshoot issues and optimize data center operations. Interns may also be involved in documenting configurations, conducting inventory audits, and learning about industry best practices for uptime and reliability. This role provides valuable exposure to both the technical and operational aspects of large-scale IT environments, offering a strong foundation for future career growth.

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

To thrive as an Internship Data Center Infrastructure Engineer, you need a solid understanding of networking fundamentals, hardware systems, and power/cooling concepts, typically supported by coursework in computer engineering or related fields. Familiarity with tools like network monitoring software, server management systems, and ticketing platforms is often required. Strong problem-solving, attention to detail, and effective teamwork help you stand out in this collaborative, technical environment. These skills and qualities are crucial for maintaining reliable data center operations and ensuring rapid issue resolution.

What is the difference between Internship Data Center Infrastructure Engineer vs Data Center Technician?

AspectInternship Data Center Infrastructure EngineerData Center Technician
Required CredentialsTypically pursuing or recent graduate in IT, Computer Engineering, or related fieldsHigh school diploma or equivalent; technical certifications preferred
Work EnvironmentOffice and data center facilities, often with supervision and trainingData center floors, hardware setup, maintenance areas
Employer & Industry UsageInternship roles in tech companies, data center providers, or IT departmentsEntry-level technician roles in data centers across various industries

The Internship Data Center Infrastructure Engineer role is typically a training position for students or recent graduates focusing on infrastructure design and planning, while Data Center Technicians handle hardware installation, maintenance, and troubleshooting. The internship offers learning opportunities, whereas technicians perform hands-on operational tasks.

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

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

What are popular job titles related to Internship Data Center Infrastructure Engineer jobs in Connecticut?

For Internship Data Center Infrastructure Engineer jobs in Connecticut, the most frequently searched job titles are:

What job categories do people searching Internship Data Center Infrastructure Engineer jobs in Connecticut look for?

The top searched job categories for Internship Data Center Infrastructure Engineer jobs in Connecticut are:

What cities in Connecticut are hiring for Internship Data Center Infrastructure Engineer jobs?

Cities in Connecticut with the most Internship Data Center Infrastructure Engineer job openings:

Infographic showing various Internship Data Center Infrastructure Engineer job openings in Connecticut as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, and 3% 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

Re-posted 14 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.