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Internship Data Jobs (NOW HIRING)

GMV

Internship: Data analyst

Naples, NC · On-site +1

If you want to know more about Big Data, artificial intelligence or machine learning and how they are changing the world, your place is here! We are an engineering and innovation company working in ...

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Internship Data information

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How much do internship data jobs pay per hour?

As of Jul 9, 2026, the average hourly pay for internship data 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 types of projects do data interns typically work on during their internship?

Data interns often support teams by working on real-world projects such as data cleaning, organizing large datasets, and assisting in data analysis using tools like Excel, Python, or SQL. They may also help visualize data findings, prepare reports, and participate in cross-functional meetings to understand business needs. These tasks provide valuable exposure to the data lifecycle and help interns develop practical technical and communication skills vital for a future career in data roles.

What are the key skills and qualifications needed to thrive as a Data Intern, and why are they important?

To thrive as a Data Intern, you generally need a background in statistics, mathematics, or computer science, along with proficiency in data analysis and problem-solving. Familiarity with tools such as Excel, SQL, Python, and data visualization platforms like Tableau is often required. Strong attention to detail, eagerness to learn, and effective communication skills help interns collaborate with teams and present findings clearly. These skills are essential for accurately analyzing data, contributing to projects, and gaining valuable experience in a real-world data environment.

What are internship data roles?

Internship data roles are entry-level positions designed for students or recent graduates to gain practical experience in data-related fields. These internships typically involve tasks such as data collection, cleaning, analysis, and visualization under the supervision of experienced data professionals. Interns may work with databases, statistical software, or programming languages like Python or R, and assist in projects that support business decision-making. The goal is to help interns build foundational skills and industry knowledge to prepare them for full-time data careers.

What is the difference between Internship Data vs Data Analyst?

AspectInternship DataData Analyst
Required CredentialsTypically pursuing or recent graduate, some technical skillsBachelor's degree in related field, some roles prefer certifications
Work EnvironmentTemporary, learning-focused, entry-level tasksFull-time, ongoing projects, more responsibility
Employer & Industry UsageInternships offered by companies for trainingFull-time roles in various industries like finance, healthcare, tech

Internship Data positions are designed for students or recent graduates gaining initial experience, often with limited responsibilities. Data Analysts are full-time professionals responsible for analyzing data, creating reports, and supporting decision-making. The internship serves as a stepping stone toward a full Data Analyst role, which requires more skills and experience.

What cities are hiring for Internship Data jobs? Cities with the most Internship Data job openings:
What are the most commonly searched types of Data jobs? The most popular types of Data jobs are:
What states have the most Internship Data jobs? States with the most job openings for Internship Data jobs include:
Internship Data jobs near you
Infographic showing various Internship Data 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 • On-site

Internship

Re-posted 6 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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