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Internship Data Storage Jobs in Washington, DC (NOW HIRING)

Sr Research Engineer

Reston, VA · Hybrid

$135K - $183K/yr

... internship program. * Represents Verisign in related external forums to build our reputation as an ... SQL, NoSQL, or equivalent data storage schema creation and use This position is based in our Reston ...

Sr Research Engineer

Reston, VA · On-site

$135K - $183K/yr

... internship program. * Represents Verisign in related external forums to build our reputation as an ... SQL, NoSQL, or equivalent data storage schema creation and use This position is based in our Reston ...

Familiarity with data structures, storage systems, cloud infrastructure, front-end frameworks, and ... This should be your final internship before graduating. To apply, please submit the following: * An ...

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Internship Data Storage information

See Washington, DC salary details

$13

$25

$47

How much do internship data storage jobs pay per hour?

As of Aug 9, 2026, the average hourly pay for internship data storage in Washington, DC is $25.49, according to ZipRecruiter salary data. Most workers in this role earn between $19.62 and $27.79 per hour, depending on experience, location, and employer.

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 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 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 are the most commonly searched types of Data Storage jobs in Washington, DC? The most popular types of Data Storage jobs in Washington, DC are:
What are popular job titles related to Internship Data Storage jobs in Washington, DC? For Internship Data Storage jobs in Washington, DC, the most frequently searched job titles are:
What job categories do people searching Internship Data Storage jobs in Washington, DC look for? The top searched job categories for Internship Data Storage jobs in Washington, DC are:
Infographic showing various Internship Data Storage job openings in Washington, DC as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 17% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $53,016 per year, or $25.5 per hour.

WBG Pioneer - AI Engineer Intern

The World Bank Group

Washington, DC

Internship

Posted 17 days ago


Job description

WBG Pioneer

Background/Organizational Context

The Integrity Vice Presidency (INT) investigates and helps prevent fraudand corruption in World Bank Group-financed projects. Within INT, the Data Labis a multidisciplinary team spanning data, AI, analytics, and cloud engineeringthat builds and operates production-grade, responsible AI and data solutions toenable and streamline INT's core business processes.

This 150-day internship offers a hands-on opportunity to work at thefrontier of enterprise agentic AI. Under the direct supervision and mentorshipof the Data Lab Team Lead, the AI Engineer Intern will learn to design,develop, and deploy AI agents that support INT's core functions. The role iswell suited to a fast learner who stays aligned with industry trends inenterprise agentic AI and is eager to apply modern AI techniques to real-worldintegrity use cases within a secure, governed cloud environment.

Duties and Responsibilities

Learn and apply the Data Lab's AI development practices to help design, build, and fine-tune AI agents and LLM-based solutions that streamline INT business processes.

Develop, test, and iterate on prompts to improve the accuracy, relevance, and reliability of AI outputs.

Support the optimization of Retrieval-Augmented Generation (RAG) pipelines-indexing, retrieval, and inference-for INT's AI agents.

Use Azure cloud resources for data storage, processing, and retrieval to support AI model requirements.

Collaborate with front-end, back-end, and DevOps team members to integrate AI models into applications and resolve integration issues.

Explore and evaluate emerging enterprise agentic AI frameworks and tools, sharing findings and recommendations with the team.

Maintain clear, up-to-date documentation of AI models, prompts, design decisions, and change logs to ensure transparency and traceability.

Participate in team meetings, provide regular progress updates, and present work to the Data Lab Team Lead and management.