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Data Modeling Internship Jobs in Washington (NOW HIRING)

Use modeling and trend analysis to analyze data * Collaborate with team members and participate in ... Yello and WayUp Top 100 Internship Programs * Computerworld ® Best Places to Work in IT * Newsweek ...

Use modeling and trend analysis to analyze data * Collaborate with team members and participate in ... FORTUNE 100 Best Companies to Work For 2026 Yello and WayUp Top 100 Internship Programs 2025 ...

Yello and WayUp Top 100 Internship Programs * Computerworld Best Places to Work in IT * Newsweek ... Model Development * Communication * Critical Thinking * Collaborate and Build Relationships

... semantic models, AI applications, and data products. Engineers in this role will analyze source ... internship experience, research experience, academic project experience, or equivalent hands-on ...

Jr. Data Engineer

Rockville, MD · On-site

$53K - $60K/yr

... semantic models, AI applications, and data products. Engineers in this role will analyze source ... internship experience, research experience, academic project experience, or equivalent hands-on ...

Jr. Data Engineer

Rockville, MD · On-site

$53K - $60K/yr

... semantic models, AI applications, and data products. Engineers in this role will analyze source ... internship experience, research experience, academic project experience, or equivalent hands-on ...

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Data Modeling Internship information

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 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 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 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.

Infographic showing various Data Modeling Internship job openings in Washington as of July 2026, with employment types broken down into 1% As Needed, 81% Full Time, 10% Part Time, and 8% Contract. Highlights an 83% Physical, 3% Hybrid, and 14% Remote job distribution.

Summer Associate Internship (Data Scientist)

Vienna, VA • On-site

Navy Federal Credit Union
Finance and Insurance • 10K+ employees

$59K - $59K/yr

Full-time

Posted 4 days ago


Navy Federal Credit Union rating

8.1

Company rating: 8.1 out of 10

Based on 276 frontline employees who took The Breakroom Quiz


Job description


The Real Estate Lending (REL) AI & Data Science team develops AI-enabled capabilities, machine learning solutions, and advanced analytics that support mission critical decision making across REL. By leveraging member, financial and organizational data, the team enhances the member experience, improves operational efficiency, and helps business partners achieve strategic objectives through cutting-edge AI and data science solutions. The Summer Associate will support the team's AI and data science initiatives by contributing to projects involving machine learning, advanced analytics, or AI agents that drive measurable impact across REL and Navy Federal.
The Summer Associate Program is a 12-week internship program beginning in May 2027 and ending in August 2027. Students will work on impactful projects and meaningful work during their internship. To qualify for this position, applicants must be currently pursuing a degree from an accredited college or university and have an anticipated graduation date of December 2027 or later.
Responsibilities
Potential Projects
  • Explore opportunities to apply large language models (LLMs) or AI agents to enhance information retrieval, analytical workflows, the member experience, or operational efficiency.
  • Build a machine learning propensity model to predict the likelihood that an NFCU member will refinance a loan within a defined time period.
  • Perform advanced analytics on large and complex datasets to identify patterns in member behavior, engagement, and loan activity, translating findings into actionable business insights.

Responsibilities
  • Support data science, machine-learning, and AI initiatives for Real Estate Lending.
  • Design, develop, and evaluate large and complex predictive models, advanced algorithms, and LLM-driven AI agents.
  • Develop actionable insights and data-driven recommendations that support business decision-making.
  • Use evaluation, judgment, and interpretation to select right course of action.
  • Work on problems of diverse scopes where analysis of information requires evaluation of identifiable factors.
  • Transform data into charts, tables, or format that aids effective decision making.
  • Utilize effective written and verbal communication to document analyses and present findings and analyses to a diverse audience of stakeholders.
  • Develop and maintain strong working relationships with team members, subject matter experts, and leaders.
  • Model best practices and ethical AI.
  • Participate in all team activities and knowledge shares.
  • Perform other related duties as assigned

Qualifications
  • Currently pursuing a graduate degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, or another quantitative field.
  • Working knowledge of statistics, machine learning, data mining, data auditing, data aggregation, data reconciliation, and data visualization.
  • Working knowledge of programming, data modeling, simulation techniques, and quantitative analysis.
  • Experience with SQL, R, Python/Pyspark, Hadoop, SAS, AWS, Github and APIs.
  • Experience with Databricks, Azure Environment (AI Foundry), Copilot Studio and PowerBI.
  • Interest in or exposure to AI/LLMs and agent development (prompt engineering, RAG architectures, vector databases, embeddings, AI guardrails, LLM evaluations, fine-tuning fundamentals).
  • Ability to understand business problems, identify analytical approaches, and develop practical, data-driven recommendations.
  • Strong research, critical-thinking, analytical, and problem-solving skills, including the ability to identify assumptions, constraints, and risks.
  • Excellent written, verbal, interpersonal, data-storytelling, and presentation skills, with the ability to explain technical concepts to non-technical audiences.
  • Ability to collaborate effectively, build relationships, take initiative, manage priorities, and work through ambiguity with sound judgment.
  • Curious, energetic, and growth-oriented approach with a willingness to learn new tools, methods, and business concepts

Additional Information
Hours:
  • Monday - Friday, 8:00AM - 4:30 PM ET

Locations:
  • 820 Follin Lane, Vienna, VA 22180
  • 5550 Heritage Oaks Dr Pensacola, FL 32526
  • 141 Security Dr. Winchester, VA 22602

About Us
Navy Federal provides much more than a job. We provide a meaningful career experience, including a culture that is energized, engaged and committed; and fierce appreciation for our teams, who are rewarded with highly competitive pay and generous benefits and perks.
Our approach to careers is simple yet powerful: Make our mission your passion.
  • FORTUNE 100 Best Companies to Work For® 2025
  • Yello and WayUp Top 100 Internship Programs
  • Computerworld® Best Places to Work in IT
  • Newsweek Most Loved Workplaces
  • 2025 PEOPLE® Companies That Care
  • Newsweek Most Trustworthy Companies in America
  • Military Times 2025 Best for Vets Employers
  • Best Companies for Latinos to Work for 2025
  • Forbes® 2025 America's Best Large Employers
  • Forbes® 2025 America's Best Employers for New Grads
  • Forbes® 2025 America's Best Employers for Tech Workers
  • 2025 RippleMatch Campus Forward Award Winner for Overall Excellence
  • Military.com Top Military Spouse Employers 2025
  • 2025 Handshake Early Talent Award

From Fortune. ©2025 Fortune Media IP Limited. All rights reserved. Used under license. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of, Navy Federal Credit Union.
Equal Employment Opportunity: All qualified applicants will receive consideration for employment without regard to age, race, sex, color, religion, national origin, disability, veteran status, pregnancy, sexual orientation, genetic information, gender identity or any other basis protected by applicable law.
Accommodations: If you need accommodation or assistance for a qualifying condition to complete the online application (or during any stage of the hiring process), you can contact Navy Federal's Medical Accommodations team at medicalaccommodations@navyfederal.org or by calling 1-888-503-6013. This team cannot provide any information on job postings or application status.
Disclaimers: Navy Federal reserves the right to fill this role at a higher/lower grade level based on business need. An assessment may be required to compete for this position. Job postings are subject to close early or extend out longer than the anticipated closing date at the hiring team's discretion based on qualified applicant volume. Navy Federal Credit Union assesses market data to establish salary ranges that enable us to remain competitive. You are paid within the salary range, based on your experience, location and market position. For additional details regarding compensation and benefits, review the Benefits page of the Navy Federal Career Site.
Protect Yourself from Job Scams: Navy Federal Credit Union jobs are posted on our career site, jobs.navyfederal.org and reputable job boards (e.g., LinkedIn, Indeed). We do not post jobs on social media marketplaces, messaging apps or unverified websites. We will never ask candidates for payment, bank details or personal financial information during the hiring process.
Bank Secrecy Act: Remains cognizant of and adheres to Navy Federal policies and procedures, and regulations pertaining to the Bank Secrecy Act.

What Navy Federal Credit Union employees say

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About Navy Federal Credit Union

Sourced by ZipRecruiter

Navy Federal Credit Union, based in Vienna, Virginia, United States, is a significant player in the financial services industry. Their official website is navyfederal.org. With its roots dating back to 1933, it was initially established to provide credit to Navy members. Over the years, Navy Federal has magnified its scope, evolving into a full-service credit union serving all branches of the military, the Department of Defense, veterans, and their families. The company’s core values include integrity, service, education, and leadership. Navy Federal aims to be the most preferred and trusted financial institution serving the military and their families.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

Vienna, VA, US

Year founded

1933