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Internship Data Management Jobs (NOW HIRING)

Clinical Ink

Data Management Intern

Horsham, PA

We are looking for bright and motivated individuals to join our Data Management team in Horsham, PA for a paid Internship. You will have the opportunity to learn and contribute to a company and team ...

Clinical Ink

Data Management Intern

Horsham, PA · On-site

We are looking for bright and motivated individuals to join our Data Management team in Horsham, PA for a paid Internship. You will have the opportunity to learn and contribute to a company and team ...

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How much do internship data management jobs pay per hour?

As of Aug 11, 2026, the average hourly pay for internship data management 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 is the difference between Internship Data Management vs Data Analyst?

AspectInternship Data ManagementData Analyst
Required CredentialsTypically pursuing or recent graduate in related fieldBachelor's or higher in data, statistics, or related field
Work EnvironmentInternship setting, entry-level tasks, supervisedFull-time, professional environment, independent analysis
Employer & Industry UsageInternship programs in various industries, including tech, healthcare, financeBusiness, finance, marketing, healthcare, and more

Internship Data Management focuses on entry-level, supervised tasks related to organizing and maintaining data, often as part of an internship program. Data Analysts perform more advanced data interpretation, analysis, and reporting, usually requiring more experience and skills. Both roles are essential in data-driven industries but differ in scope, experience level, and responsibilities.

What kinds of projects or tasks do data management interns typically work on, and how do these contribute to larger team objectives?

As a Data Management intern, you can expect to work on tasks such as cleaning and organizing raw data, assisting with database updates, verifying data accuracy, and supporting data migration initiatives. These responsibilities are crucial for maintaining the integrity and usability of organizational data, which directly impacts analytics and decision-making processes. Interns often collaborate with data analysts, IT staff, and business teams, gaining hands-on experience with industry-standard tools while contributing to both short-term projects and ongoing data quality improvements.

What is an internship in data management?

An Internship in Data Management is a temporary position, usually for students or recent graduates, where individuals gain practical experience working with data. Interns assist in collecting, organizing, analyzing, and maintaining data within an organization. They often work with databases, data entry, reporting tools, and may help ensure data quality and security. The internship provides valuable hands-on experience, helps develop technical skills, and can serve as a pathway to a career in data management or related fields.

What are the key skills and qualifications needed to thrive as an internship data management professional, and why are they important?

To thrive in Internship Data Management, you need a solid understanding of data analysis, database concepts, and proficiency in Microsoft Excel or similar tools, often supported by coursework in statistics or computer science. Familiarity with data management systems like SQL or data visualization tools such as Tableau is highly beneficial. Strong attention to detail, problem-solving abilities, and effective communication skills help interns manage data accurately and work collaboratively. These skills are essential to ensure data integrity, support decision-making, and contribute effectively to organizational data initiatives.
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What cities are hiring for Internship Data Management jobs? Cities with the most Internship Data Management job openings:
What are the most commonly searched types of Data Management jobs? The most popular types of Data Management jobs are:
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What job categories do people searching Internship Data Management jobs look for? The top searched job categories for Internship Data Management jobs are:
Internship Data Management jobs near you
Infographic showing various Internship Data Management job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, and 3% Contract. Highlights an 92% Physical, 3% Hybrid, and 5% Remote job distribution, with an average salary of $46,809 per year, or $22.5 per hour.

Internship - Data Management

QuEra Computing, Inc.

Boston, MA

$30 - $40/hr

Internship

Re-posted 9 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. We are looking for the Photonics Data Engineer Intern to join us for Fall 2026.

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.

Compensation Range: $30-$40/hr

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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