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Internship Data Structure Jobs (NOW HIRING)

Dental Depot

Data Analyst

Oklahoma City, OK · On-site

Experience: 2+ years of experience in data analytics, reporting, or related technical roles (internships, academic projects, or hands-on experience acceptable). Experience working with structured ...

Equifax

Data & Analytics Intern

Alpharetta, GA · On-site

This 12-week Internship Program (May 18-Aug 7, 2026) is a gateway to full-time career paths for ... Integrate diverse data sources, data types and data structures into an innovative visualization ...

Jump Trading

Campus Data Engineer (Intern)

Chicago, IL · On-site

$250K/yr

Past internship or job experience in a data engineering role is a plus * Advanced coursework in algorithms & data structures * Exposure to data analytics tools such as Pandas INTERNATIONAL STUDENTS ...

Jump Trading

Campus Data Engineer (Intern)

Chicago, IL

$250K/yr

Past internship or job experience in a data engineering role is a plus * Advanced coursework in algorithms & data structures * Exposure to data analytics tools such as Pandas INTERNATIONAL STUDENTS ...

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How much do internship data structure jobs pay per hour?

As of Jul 19, 2026, the average hourly pay for internship data structure 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 Structure vs Data Analyst Intern?

AspectInternship Data StructureData Analyst Intern
Required SkillsBasic programming, understanding of algorithms, data organizationData analysis, Excel, SQL, visualization tools
Work EnvironmentTech companies, software firms, startupsBusiness, finance, marketing sectors
Industry UsageSoftware development, data managementBusiness intelligence, reporting

Internship Data Structure focuses on foundational programming and data organization skills, often in tech environments. Data Analyst Internships emphasize analyzing data, creating reports, and using visualization tools. Both roles are entry-level, but they serve different industry needs and skill sets.

What cities are hiring for Internship Data Structure jobs? Cities with the most Internship Data Structure job openings:
What are the most commonly searched types of Data Structure jobs? The most popular types of Data Structure jobs are:
What states have the most Internship Data Structure jobs? States with the most job openings for Internship Data Structure jobs include:
Internship Data Structure jobs near you
Data Science Internship (Data Platforms)

Data Science Internship (Data Platforms)

MHI

Lake Mary, FL • On-site

Internship

Posted 10 days ago

Job description

Data Science Associate
Company Overview
At Mitsubishi Power, we're not just building better clean energy technologies; we're architecting a better future. Our team is boldly redefining power generation to accelerate the world's energy transition. We operate as one team, pushing toward our vision of the future. We value problem solvers, prioritize collaboration, and support each other in an inclusive culture built on accountability and authenticity by demonstrating our values: Safety, Family, Innovative, Inclusive, Accountable & Courageous. Together, we're building the future we all aspire to - making net zero a reality.
Role Overview
The Data Scientist Intern supports Mitsubishi Power's IT Data Platforms team by contributing to data quality, data cataloging, and automation efforts within enterprise data environments. This hands-on internship provides practical experience working with cloud-based data platforms, centralized data repositories, and Microsoft Power Platform tools. The role collaborates with Data Platforms leadership, Enterprise Applications, and IT stakeholders to support scalable, high-quality data solutions used across the business.
Key Responsibilities
  • Assist with data quality assessments across enterprise data sources, identifying gaps, inconsistencies, and improvement opportunities.
  • Support data catalog activities including documentation of datasets, metadata, data definitions, and lineage.
  • Validate, organize, and prepare ingested data within centralized platforms such as data lakes and structured repositories.
  • Contribute to automation efforts to surface data into Microsoft Power Apps and Power Automate workflows.
  • Perform data validation and reconciliation to ensure accuracy and completeness between source and ingested data.
  • Assist with development of basic dashboards, reports, and visualizations to support data visibility and usage.
  • Support testing and user acceptance activities to validate data processes and automation solutions.
  • Maintain tracking artifacts such as data quality logs, catalog trackers, and automation inventories.
  • Document data processes, standards, and learnings to support long-term platform sustainability.

Requirements
  • Assist with data quality assessments across enterprise data sources, identifying gaps, inconsistencies, and improvement opportunities.
  • Support data catalog activities including documentation of datasets, metadata, data definitions, and lineage.
  • Validate, organize, and prepare ingested data within centralized platforms such as data lakes and structured repositories.
  • Contribute to automation efforts to surface data into Microsoft Power Apps and Power Automate workflows.
  • Perform data validation and reconciliation to ensure accuracy and completeness between source and ingested data.
  • Assist with development of basic dashboards, reports, and visualizations to support data visibility and usage.
  • Support testing and user acceptance activities to validate data processes and automation solutions.
  • Maintain tracking artifacts such as data quality logs, catalog trackers, and automation inventories.
  • Document data processes, standards, and learnings to support long-term platform sustainability.

Learning Outcomes
  • Gain hands-on experience with enterprise data platforms, including data lakes and cloud-based environments, understanding how data supports business operations.
  • Develop core data skills in data quality, validation, cataloging, and metadata management using real-world datasets.
  • Apply analytics and automation tools such as Excel, SQL, and Microsoft Power Platform to support business processes and workflows.
  • Strengthen problem-solving and communication skills by working cross-functionally and translating data insights into clear, actionable outcomes.

Mitsubishi Power is an Equal Employment Opportunity (EEO) employer actively seeking to diversify the workforce and is committed to a policy of equal employment opportunity. Therefore, all qualified applicants regardless of race, color, religion, gender, sexual orientation, gender identity, national origin, disability, veteran status, or any other legally recognized protected basis under applicable law, are strongly encouraged to apply.

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