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Internship Data Storage Jobs in Laurel, MD (NOW HIRING)

Hatch IT

Junior Data Engineer (DEA)

Arlington, VA

$131K - $158K/yr

... internships, personal projects, or early professional experience. * Working knowledge of SQL ... Exposure to cloud-based data storage or compute platforms such as AWS S3/Redshift, Google BigQuery ...

New

Hatch IT

Junior Data Engineer (DEA)

Arlington, VA · On-site

$131K - $158K/yr

... internships, personal projects, or early professional experience. * Working knowledge of SQL ... Exposure to cloud-based data storage or compute platforms such as AWS S3/Redshift, Google BigQuery ...

New

Expression

Junior Data Engineer (DEA)

Washington, DC · On-site

$129K - $155K/yr

... internships, personal projects, or early professional experience. * Working knowledge of SQL ... Exposure to cloud-based data storage or compute platforms such as AWS S3/Redshift, Google BigQuery ...

Expression Networks

Junior Data Engineer (DEA)

Washington, DC · On-site

$129K - $155K/yr

... internships, personal projects, or early professional experience. * Working knowledge of SQL ... Exposure to cloud-based data storage or compute platforms such as AWS S3/Redshift, Google BigQuery ...

Verisign

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 ...

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All JobsData Storage JobsInternship Data Storage JobsInternship Data Storage Jobs in Laurel, MD

Internship Data Storage information

See Laurel, MD salary details

$11

$22

$41

How much do internship data storage jobs pay per hour?

As of Aug 29, 2026, the average hourly pay for internship data storage in Laurel, MD is $22.31, according to ZipRecruiter salary data. Most workers in this role earn between $17.16 and $24.33 per hour, depending on experience, location, and employer.

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 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 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 job categories do people searching Internship Data Storage jobs in Laurel, MD look for?

The top searched job categories for Internship Data Storage jobs in Laurel, MD are:

What cities near Laurel, MD are hiring for Internship Data Storage jobs?

Cities near Laurel, MD with the most Internship Data Storage job openings:

Internship Data Storage jobs near you
Infographic showing various Internship Data Storage job openings in Laurel, MD as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 22% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $46,410 per year, or $22.3 per hour.

Data Engineer 2 - TS required - Washington DC area

Bow Wave LLC

Arlington, VA • On-site

$130K - $157K/yr

Full-time

Posted 7 days ago

Job description

Education Requirement: Bachelor's DegreeKey Responsibilities:•Assist in designing, developing, and maintaining basic ETL pipelines for ingesting, transforming, and loading datasets under the guidance of more experienced engineers.•Support analysis of data structures, mappings, and data quality checks to identify issues or gaps.•Help ensure data accuracy, consistency, and integrity by running validation queries, profiling datasets, and supporting data cleanup efforts.•Contribute to data migration tasks, such as mapping source data to target systems and running migration scripts.•Collaborate with analysts, data scientists, and business stakeholders to translate requirements into simple data transformations or pipeline updates.•Monitor pipeline performance and assist in troubleshooting operational issues, escalating complex problems as needed.•Help document data flows, transformation logic, and operational processes to support maintainability and knowledge sharing.Required Skills & Experience•0-1 Years of Professional Experience •Foundational exposure to data analysis, ETL concepts, or data migration activities-via coursework, internships, personal projects, or early professional experience.•Working knowledge of SQL, including writing basic queries, joins, and aggregations.•Familiarity with Python for data manipulation or automation tasks (introductory level acceptable).•Introductory experience with ETL or workflow tools such as Apache Airflow, Talend, or similar platforms.•Understanding of basic data warehousing concepts, such as staging, fact/dimension models, or schema structure.•Exposure to cloud-based data storage or compute platforms (e.g., AWS S3/Redshift, Google BigQuery, Azure Storage).Bonus / Preferred Qualifications•Hands on or coursework experience with cloud ecosystems such as AWS, Azure, or Google Cloud Platform.•Exposure to big data technologies (Hadoop, Spark, or distributed processing frameworks).•Familiarity with data visualization tools (Power BI, Tableau, Looker) and version control systems such as Git.•Experience building or supporting automated data workflows using orchestration tools or scheduled scripting.Core Skills & Competencies•Foundational ETL development and data pipeline understanding•Data profiling and validation•SQL and Python basics•Understanding of data warehousing fundamentals•Collaboration with analysts, engineers, and business stakeholders•Problem solving mindset and willingness to learn•Clear communication and strong documentation skills•Adaptability in fast paced, evolving environments

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