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Data Modeling Internship Jobs (NOW HIRING)

Must be enrolled in an internship program and receiving school credit for internship hours * Foundational knowledge of data modeling, data gathering, and data cleansing. * Proficiency in Microsoft ...

Must be enrolled in an internship program and receiving school credit for internship hours * Foundational knowledge of data modeling, data gathering, and data cleansing. * Proficiency in Microsoft ...

Associate Data Engineer

Seattle, WA · On-site

$130K - $156K/yr

... data models and visualizations under guidance. Responsibilities : • Execute assigned components ... internships, bootcamps, or self-directed project work. • Must be located in the United States ...

Associate Data Engineer

Frisco, TX · On-site

$107K - $129K/yr

... data ingestion, modeling, and visualization using tools like Snowflake and Power BI ... internships, bootcamps, or self-directed project work. • Must be located in the United States ...

Associate Data Engineer

Frisco, TX · On-site

$107K - $129K/yr

... data ingestion, modeling, and visualization, under the guidance of senior engineers ... internships, bootcamps, or self-directed project work. • Must be located in the United States ...

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Data Modeling Internship information

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$12

$22

$42

How much do data modeling internship jobs pay per hour?

As of Aug 9, 2026, the average hourly pay for data modeling internship 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 a data modeling internship?

A Data Modeling Internship is a temporary position for students or recent graduates to gain practical experience in designing and structuring data for use in databases and information systems. Interns typically work with data architects and analysts to create data models, which help organize and manage data efficiently for businesses. This role often involves learning about different data modeling techniques, using specialized software tools, and supporting projects that improve data quality and accessibility. The internship provides valuable exposure to real-world data challenges and prepares individuals for future roles in data management and analytics.

What is the difference between Data Modeling Internship vs Data Analyst Internship?

AspectData Modeling InternshipData Analyst Internship
Required SkillsData modeling, database design, SQL, data warehousingData analysis, Excel, SQL, visualization tools
Work EnvironmentData teams, IT departments, database environmentsBusiness units, analytics teams, reporting environments
Industry UsageTech, finance, healthcare, where data structure design is keyMarketing, finance, retail, focusing on data insights

While both internships involve working with data, a Data Modeling Internship focuses on designing and structuring data systems, whereas a Data Analyst Internship emphasizes analyzing data to generate insights. The choice depends on whether you prefer working on database architecture or data interpretation.

What are the key skills and qualifications needed to thrive as a data modeling intern, and why are they important?

To thrive as a Data Modeling Intern, you need a solid understanding of database concepts, data structures, and proficiency in SQL, often supported by coursework in computer science or data analytics. Familiarity with data modeling tools like ERwin, Microsoft Visio, or Lucidchart, and experience with relational database management systems (RDBMS) are typically required. Strong analytical thinking, attention to detail, and effective communication skills help interns collaborate with teams and translate business requirements into data models. These skills are essential for creating accurate, scalable data models that support efficient data storage, retrieval, and analysis in organizational projects.

What types of projects and responsibilities can I expect during a data modeling internship?

As a Data Modeling Intern, you can expect to work closely with data engineers and analysts to design, build, and refine data models that support business intelligence and analytics initiatives. Typical responsibilities include gathering requirements, creating entity-relationship diagrams, normalizing databases, and assisting in the documentation of data flows. You'll also have opportunities to participate in meetings with cross-functional teams, learn best practices for database design, and contribute to ongoing data quality improvement efforts. This hands-on experience provides valuable exposure to real-world data challenges and helps build a strong foundation for a career in data management.
What cities are hiring for Data Modeling Internship jobs? Cities with the most Data Modeling Internship job openings:
What are the most commonly searched types of Data Modeling jobs? The most popular types of Data Modeling jobs are:
What states have the most Data Modeling Internship jobs? States with the most job openings for Data Modeling Internship jobs include:
Infographic showing various Data Modeling Internship job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, 1% Temporary, and 3% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $46,809 per year, or $22.5 per hour.

Data, Modeling, and Analytics Undergraduate Intern

PNC Financial Services Group, Inc.

Pittsburgh, PA • On-site

$25.24 - $42.07/hr

Part-time

Posted 5 days ago


PNC Bank rating

7.7

Company rating: 7.7 out of 10

Based on 345 frontline employees who took The Breakroom Quiz

93rd of 170 rated banks


Job description

Position Overview
At PNC, our people are our greatest differentiator and competitive advantage in the markets we serve. We are all united in delivering the best experience for our customers. We work together each day to foster an inclusive workplace culture where all of our employees feel respected, valued and have an opportunity to contribute to the company's success. As a Data, Modeling, and Analytics Intern within PNC's Data, Modeling, and Analytics organization, you will be based in Pittsburgh, PA or Tysons, VA.
PNC is an in-office company that fosters a supportive culture where employees can thrive and achieve balance. We encourage candidates to connect with their recruiter and hiring manager to understand workplace expectations and ensure the role aligns with their goals.
PNC will not provide sponsorship for employment visas or participate in STEM OPT for this position.
Job Description
As a PNC Intern, you will participate in a best-in-class internship program and jump start your career at a top U.S. bank. During this 10-week program you will work directly with PNC's team of quantitative analysts, portfolio managers, and data scientists. You will develop the tools you need to launch a successful career and complement your education with real-world experience.
The Data, Modeling, and Analytics (DMA) Internship Program provides exposure to quantitative and business analytics, data science and modeling, and data-driven decision-making across commercial and consumer businesses. Interns work with experienced professionals who transform data into actionable insights to support portfolio management, risk management, capital decisions, and business strategy.
Interns gain exposure to real-world business problems and apply PNC's vast collection of analytical and modeling tools:
  • Generative AI (e.g. GitHub Copilot)
  • Cloud-based platforms (e.g. AWS)
  • Big Data systems (e.g. Apache Hadoop)
  • Application Development (e.g. SQL, Python, R, and Tableau)
  • Quantitative development and deployment environments

Job Profile
  • Participates as an intern in the PNC summer internship program.
  • Performs or assists with the core activities of the group by applying knowledge learned to drive business results (e.g. deal, sales, or process support, internal or external customer interaction, or supporting internal projects). Works under supervision and may have limited approval and/or exception authority.
  • Participates in social learning within the organization (e.g. identifies and networks with business representatives and peers, participates in mentoring, job shadowing and community outreach)

PNC Employees take pride in our reputation and to continue building upon that we expect our employees to be:
  • Customer Focused - Knowledgeable of the values and practices that align customer needs and satisfaction as primary considerations in all business decisions and able to leverage that information in creating customized customer solutions.
  • Managing Risk - Assessing and effectively managing all of the risks associated with their business objectives and activities to ensure they adhere to and support PNC's Enterprise Risk Management Framework.

To learn more about this opportunity, please watch this video.
Required Education and Experience:
  • Working toward a bachelor's degree, preferably STEM or business majors (e.g. Analytics, Data Science, Mathematics, Statistics, Finance, Economics, Business). Other majors can be considered if there is a strong proven interest in analytics.

  • Junior status

  • Minimum GPA 3.2.

  • Experience in data analysis, preferably using SQL, Python, R, and/or Tableau.

Qualifications
Successful candidates must demonstrate appropriate knowledge, skills, and abilities for a role. Listed below are skills, competencies, work experience, education, and required certifications/licensures needed to be successful in this position.
Competencies
Accuracy and Attention to Detail, Analytical Thinking, Effective Communications, Flexibility and Adaptability, Information Capture, Initiative, Products and Services, Self-Directed Growth and Development
Work Experience
Roles at this level are filled by recent university / college graduates with little or no professional experience, but possessing relevant skills. Includes individuals joining the organization through a Corporate development/ training program. In lieu of a degree, a comparable combination of education, job specific certification(s), and experience (including military service) may be considered.
Education
No Degree
Pay Transparency
Base Salary: $25.24 - $42.07
Salaries may vary based on geographic location, market data and on individual skills, experience, and education.
Application Window
Generally, this opening is expected to be posted for two business days from 08/04/2026, although it may be longer with business discretion.
Disability Accommodations Statement
If an accommodation is required to participate in the application process, please contact us via email at AccommodationRequest@pnc.com. Please include "accommodation request" in the subject line title and be sure to include your name, the job ID, and your preferred method of contact in the body of the email. Emails not related to accommodation requests will not receive responses. Applicants may also call 877-968-7762 and say "Workday" for accommodation assistance. All information provided will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.
At PNC we foster an inclusive and accessible workplace. We provide reasonable accommodations to employment applicants and qualified individuals with a disability who need an accommodation to perform the essential functions of their positions.
Equal Employment Opportunity (EEO)
PNC provides equal employment opportunity to qualified persons regardless of race, color, sex, religion, national origin, age, sexual orientation, gender identity, disability, veteran status, or other categories protected by law.
This position is subject to the requirements of Section 19 of the Federal Deposit Insurance Act (FDIA) and, for any registered role, the Secure and Fair Enforcement for Mortgage Licensing Act of 2008 (SAFE Act) and/or the Financial Industry Regulatory Authority (FINRA), which prohibit the hiring of individuals with certain criminal history.
California Residents
Refer to the California Consumer Privacy Act Privacy Notice to gain understanding of how PNC may use or disclose your personal information in our hiring practices.

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