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Data Modeling Internship Jobs in Washington (NOW HIRING)

Data Engineer

Washington, DC · On-site

$129K - $155K/yr

Exposure to Databricks, Apache Spark, or distributed data processing concepts through coursework, internships, or projects * Understanding of basic data modeling and ETL/ELT concepts * Ability to ...

Data Engineer

Washington, DC · On-site

$129K - $155K/yr

Exposure to Databricks, Apache Spark, or distributed data processing concepts through coursework, internships, or projects * Understanding of basic data modeling and ETL/ELT concepts * Ability to ...

The duties of this role range from data modeling and database development to building and ... internships. * Detail oriented, analytical and inquisitive. * Highly organized with strong time ...

The duties of this role range from data modeling and database development to building and ... internships. * Detail oriented, analytical and inquisitive. * Highly organized with strong time ...

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Data Modeling Internship information

Is 20 an hour good for an internship?

For a Data Modeling Internship, earning $20 an hour is generally considered above average for internships, which often pay between minimum wage and $15 per hour. However, pay rates vary based on location, company, and required skills such as SQL or data analysis tools, so it's important to consider the cost of living and industry standards in your area.

How much do data modelers make?

Data modelers typically earn a median salary ranging from $70,000 to $110,000 annually, depending on experience, location, and industry. Entry-level positions may start lower, while experienced professionals with advanced skills in data architecture and modeling tools can earn higher salaries.

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 are the 4 types of data modeling?

The four main types of data modeling are conceptual, logical, physical, and view models. Conceptual models define high-level data structures, logical models detail data relationships and constraints, physical models specify how data is stored in databases, and view models focus on specific user perspectives. Data modeling skills are essential for data analysts and database developers during the internship process.

What are the big 4 internships?

The Big 4 internships typically refer to internship programs offered by Deloitte, PricewaterhouseCoopers (PwC), Ernst & Young (EY), and KPMG. These firms are among the largest professional services networks globally and offer internships in areas such as consulting, audit, tax, and advisory, providing valuable experience for aspiring professionals in fields like data modeling 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 are popular job titles related to Data Modeling Internship jobs in Washington? For Data Modeling Internship jobs in Washington, the most frequently searched job titles are:
What cities in Washington are hiring for Data Modeling Internship jobs? Cities in Washington with the most Data Modeling Internship job openings:
Business Analytics Consultant - Data, Modeling & Analytics

Business Analytics Consultant - Data, Modeling & Analytics

PNC Bank

Washington, DC • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

This job post has expired today. Applications are no longer accepted.


PNC Bank rating

7.7

Company rating: 7.7 out of 10

Based on 334 frontline employees who took The Breakroom Quiz

73rd of 141 rated banks


Job description

Position OverviewAt 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 Business Analytics Consultant within PNC's Data, Modeling & Analytics Customer Experience Analytics organization, you will be based in Pittsburgh, PA or Washington, DC.
Role Overview:
The Customer Experience Analytics team helps PNC understand how customers experience our products, services, and processes-and where we can do better. As a Business Analytics Consultant on the team within the Data, Model & Analytics organization, you will work with customer complaints, survey responses, and call center transcripts to help tell the story of the customer and identify opportunities to improve experiences and outcomes.
An ideal role for someone who is eager to learn, grow technical and analytical skills, and gain hands on experience working with real business data. You will be supported by more experienced team members and will gradually take on more complex analyses as your skills develop.
Key Responsibilities:
Analyze customer experience data such as complaints, surveys, and call transcripts to identify patterns, trends, and areas for improvement.
Use Python and SQL to help extract, clean, and analyze data from a variety of sources.
Create and maintain dashboards, reports, and visualizations in Tableau, XM Discover (or similar tools) to support business decision making.
Help calculate and interpret key customer experience metrics, including trends, volumes, lifts, efficiencies, and basic statistical measures.
Translate analytical results into clear, easy to understand insights for business and operational partners.
Support repeatable reporting and analysis by helping document processes, maintain templates, and improve data quality.
Collaborate with team members and business partners to better understand customer pain points and experience-enhancing opportunities.
Preferred Skills & Experience
An interest in data analytics and customer experience (prior professional experience is helpful but not required)
Familiarity with Python, SQL, or other analytical tools through coursework, internships, or early career experience
Exposure to Tableau or data visualization tools
Strong curiosity, problem solving skills, and attention to detail
Clear written and verbal communication skills
Willingness to learn, ask questions, and collaborate with othersPNC 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
  • Leverages analytical tools to provide business and technical expertise for the analytics process, tools and applications for a business function or business unit to create data driven solutions.
  • Recommending appropriate performance measures to be produced including lifts, efficiencies, confidence intervals, and other statistical metrics.
  • Analyzing and processing data, building and maintaining models and report templates, and developing dynamic, data-driven solutions.
  • Providing business clients with detailed, actionable reports documenting the findings from, data processing, and data analysis.
  • Consulting on using business intelligence data for predictive analytics and facilitating implementation of new tools and data marts.

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.
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.

Preferred SkillsAnalytical Thinking, Business Intelligence (BI), Concept Development, Data-Driven Decision Making, Data Integration, Market Research, Performance Metrics, Qualitative Research, Strategic PlanningCompetenciesAnalytical Thinking, Business Acumen, Business Analytics, Consulting, Decision Making and Critical Thinking, Effective CommunicationsWork ExperienceRoles at this level typically require a university / college degree, with 2+ years of relevant professional experience. In lieu of a degree, a comparable combination of education, job specific certification(s), and experience (including military service) may be considered.EducationBachelorsCertificationsNo Required Certification(s)LicensesNo Required License(s)Pay TransparencyBase Salary: $76,500.00 - $127,500.00Salaries may vary based on geographic location, market data and on individual skills, experience, and education. This role is incentive eligible with the payment based upon company, business and/or individual performance.Application WindowGenerally, this opening is expected to be posted for two business days from 05/14/2026, although it may be longer with business discretion.BenefitsPNC offers a comprehensive range of benefits to help meet your needs now and in the future. Depending on your eligibility, options for full-time employees include: medical/prescription drug coverage (with a Health Savings Account feature), dental and vision options; employee and spouse/child life insurance; short and long-term disability protection; 401(k) with PNC match, pension and stock purchase plans; dependent care reimbursement account; back-up child/elder care; adoption, surrogacy, and doula reimbursement; educational assistance, including select programs fully paid; a robust wellness program with financial incentives.In addition, PNC generally provides the following paid time off, depending on your eligibility: maternity and/or parental leave; up to 11 paid holidays each year; 9 occasional absence days each year, unless otherwise required by law; between 15 to 25 vacation days each year, depending on career level; and years of service.

To learn more about these and other programs, including benefits for full time and part-time employees, visitpncthrive.com.

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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