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Internship Data Storage Jobs (NOW HIRING)

Data Direct Networks

Senior Sales Engineer

Architect storage for AI/ML training, HPC simulations, data analytics, and GPU-accelerated ... Exposure to storage/systems through coursework, internships, or projects * Strong analytical and ...

New

Data Direct Networks

Architect storage for AI/ML training, HPC simulations, data analytics, and GPU-accelerated ... Exposure to storage/systems through coursework, internships, or projects * Strong analytical and ...

Data Direct Networks

Architect storage for AI/ML training, HPC simulations, data analytics, and GPU-accelerated ... Exposure to storage/systems through coursework, internships, or projects * Strong analytical and ...

Kinder Morgan

Gas Storage Engineer

Houston, TX · On-site

Maintain and continuously improve data systems and applications, including: * Gas Storage Database ... Recent graduates may qualify with relevant internships, co-op experience, research projects, or ...

Orlando Health

Data/BI Analyst, VBC

Orlando, FL · On-site

Completion of an Administrative Internship program in a hospital, physician group, or healthcare ... data storage and data sharing methods, investigates data to determine patterns and trends ...

City of New York

Data Manager

Brooklyn, NY

... storage. The candidate will also manage the dissemination of data to internal and external ... interns. The candidate will be responsible for reviewing employee deliverables, conducting ...

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Internship Data Storage information

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How much do internship data storage jobs pay per hour?

As of Jul 16, 2026, the average hourly pay for internship data storage in the United States is $22.50, according to ZipRecruiter salary data. Most workers in this role earn between $17.31 and $24.52 per hour, depending on experience, location, and employer.

What are the big 4 internships?

The Big 4 internships typically refer to internship programs at Deloitte, PricewaterhouseCoopers (PwC), Ernst & Young (EY), and KPMG. These firms offer internships in areas such as audit, consulting, tax, and advisory, providing valuable experience and potential pathways to full-time roles in professional services.

What types of projects do interns typically work on during a Data Storage internship?

During a Data Storage internship, interns usually participate in projects such as optimizing database performance, assisting with data migration between storage systems, and supporting the implementation of backup and disaster recovery processes. Interns may also help monitor storage usage, analyze data access patterns, and contribute to documentation for best practices. These tasks provide hands-on experience with storage technologies and offer valuable insights into how data is managed and protected within an organization.

What does a data intern do?

A data intern assists with managing and organizing data within storage systems, often supporting data collection, cleaning, and analysis tasks. They may work with databases, learn data management tools, and follow data security protocols under supervision to gain practical experience in data handling.

What does an Internship Data Storage role involve?

An Internship Data Storage role typically involves assisting with the management, organization, and security of digital data within a company. Interns in this position may work with databases, cloud storage platforms, and backup systems, helping to ensure data is stored efficiently and securely. Responsibilities often include supporting data migration projects, monitoring storage usage, and helping to troubleshoot issues. This role provides valuable hands-on experience with modern data storage technologies and practices, making it ideal for students interested in IT infrastructure or data management.

What are the key skills and qualifications needed to thrive as an Internship Data Storage professional, and why are they important?

To thrive as an Internship Data Storage professional, you typically need foundational knowledge of data management, database concepts, and basic programming, often supported by coursework in computer science or information technology. Familiarity with database systems like SQL, cloud storage platforms, and data backup tools is commonly expected. Strong analytical thinking, attention to detail, and effective communication skills help interns learn quickly and collaborate with team members. These skills and qualities are crucial for ensuring data integrity, supporting organizational needs, and developing competence in a technical environment.

What is the highest paying data entry job?

The highest paying data entry jobs typically involve specialized roles such as medical or legal transcription, data management, or roles requiring advanced software skills like database management or data analysis. These positions often offer higher salaries due to the complexity and accuracy required, and may require certifications or experience with tools like Excel, SQL, or data management systems.

What is the difference between Internship Data Storage vs Data Analyst?

AspectInternship Data StorageData Analyst
Required CredentialsBasic knowledge of databases, data management, and possibly some certificationsDegree in data science, statistics, or related field; often requires certifications in data analysis tools
Work EnvironmentInternship setting, often in IT or data departments, with supervised tasksFull-time or part-time roles in various industries, involving data interpretation and reporting
Employer & Industry UsageUsed by companies to train and evaluate potential future data professionalsEmployed across industries to analyze data, generate insights, and support decision-making

Internship Data Storage focuses on learning data management and storage systems, often as a stepping stone into data careers. Data Analysts, however, analyze and interpret data to inform business decisions. While both roles involve working with data, internships are entry-level training positions, whereas Data Analysts are professional roles requiring more experience and skills.

What type of internship can I get for data analyst?

Internships for data analysts typically involve roles in data collection, cleaning, analysis, and visualization using tools like Excel, SQL, or Python. These internships often require basic statistical knowledge and may be offered in technology, finance, healthcare, or marketing industries, with some requiring coursework or certifications in data analysis or related fields.
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What states have the most Internship Data Storage jobs? States with the most job openings for Internship Data Storage jobs include:
What job categories do people searching Internship Data Storage jobs look for? The top searched job categories for Internship Data Storage jobs are:
Internship Data Storage jobs near you
Infographic showing various Internship Data Storage job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $46,809 per year, or $22.5 per hour.
Internship - Data Management

Internship - Data Management

QuEra Computing, Inc.

Boston, MA

Other

Re-posted 13 days ago

Job description

About QuEra Computing, Inc.

QuEra Computing is building the world's most powerful neutral-atom quantum computers. Our systems are designed to scale and enable groundbreaking advances in science and technology. We collaborate closely with leading academic and industry partners to push the boundaries of quantum computing, error correction, and fault tolerance.

Summary

The Photonics team at QuEra pioneers cutting-edge photonic chips for integration into neutral-atom quantum computers. QuEra Computing Inc. seeks a Photonics Data Engineer Intern to develop an AI-powered data infrastructure that supports our design, fabrication, and testing workflows. You'll develop tools that transform raw measurement and metrology data into actionable insights, directly informing how we design better photonic chips faster for large-scale neutral atom quantum computers.

Responsibilities

  • AI-powered Data Infrastructure: Develop an AI-powered data management infrastructure for photonic integrated circuit (PIC) design, fabrication, and testing workflows.
  • Automation and Tooling: Write Python functions and utilities to automate data ingestion, cleaning, and organization across multiple data sources.
  • Performance Analysis Pipelines: Build analysis pipelines to extract key device performance metrics (e.g., insertion loss, extinction ratio, bandwidth, yield).  Analyze fabrication metrology datasets from multiple foundries and correlate findings with device performance to identify process-performance relationships.
  • Cross-functional Collaboration: Work with other photonics engineers to define data schemas and best practices for reproducible design and testing workflows.
  • Documentation: Document data infrastructure and analysis workflows for long-term team use.

Qualifications

  • Currently pursuing or recently completed a Bachelor's or Master's degree in Computer Science, Physics, Mathematics, or a related discipline.
  • Strong proficiency in Python programming, with hands-on experience using AI and data science libraries including PyTorch, NumPy, SciPy, and Pandas, and familiarity with workflow automation tools.
  • Working knowledge of data storage formats, database design principles, and data analysis and visualization frameworks.
  • Proven track record of leveraging Python and AI tools to tackle challenging problems in science and physics.
  • Strong analytical mindset with exceptional problem-solving capabilities.
  • Excellent interpersonal and communication skills, with the ability to collaborate effectively across multidisciplinary teams.
  • Clear evidence of self-motivation and the ability to drive independent projects to completion.
  • While a deep background in quantum physics is not a prerequisite, a solid understanding of computer science and mathematics in the context of physical simulation and experimental analysis is required.

On-site internship. There is no relocation offered for this role.

QuEra is committed to cultivating a diverse work environment and is proud to be an equal opportunity employer. We highly value diversity in our current and future employees and do not discriminate (including in our hiring and promotion practices) based on race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status, or any other characteristic protected by law.

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