1

Data Modeling Internship Jobs in Raleigh, NC (NOW HIRING)

... interns, and the quality control team-needed to oversee statistical and analytical data analysis ... Data Modeling & Storage: Knowledge in normalized/dimensional data modeling principles and their ...

Associate Data Scientist

Durham, NC · Hybrid

$57K - $57K/yr

... internship, or professional) applying statistical modeling, hypothesis testing, or predictive analytics Preferred Qualifications: * Master's degree in Data Science, Computer Science, Statistics ...

Associate Data Scientist

Durham, NC · On-site

$57K - $57K/yr

... internship, or professional) applying statistical modeling, hypothesis testing, or predictive analytics Preferred Qualifications: * Master's degree in Data Science, Computer Science, Statistics ...

General Engineering Internship

Raleigh, NC · On-site

$14.75 - $19.25/hr

Hazen is seeking summer interns for a variety of water-related assignments in our offices across ... Manage data for process modeling and design * Coordinate with manufacturers and vendors to select ...

Attention todetail and commitment to data integrity Possible Internship Roles Copywriter | Data ... Developing custom data models and algorithms for applied research * Assisting with database design ...

Attention todetail and commitment to data integrity Possible Internship Roles Copywriter | Data ... Developing custom data models and algorithms for applied research * Assisting with database design ...

Data Internships Preparation for Social Impact * Exploring Machine Learning Optional: if you are interested in proposing a new course, include a draft of a course idea based on the ADAPT course model ...

Data Internships Preparation for Social Impact * Exploring Machine Learning Optional: if you are interested in proposing a new course, include a draft of a course idea based on the ADAPT course model ...

Develop and implement data models for predictive analytics, customer segmentation, or forecasting ... S. Our internship hourly rates are a standard pay determined based on the position and your ...

Analyst II

Raleigh, NC · On-site +1

$90K - $125K/yr

Develop and implement data models for predictive analytics, customer segmentation, or forecasting ... S. Our internship hourly rates are a standard pay determined based on the position and your ...

next page

Showing results 1-20

Data Modeling Internship information

See Raleigh, NC salary details

$11

$21

$40

How much do data modeling internship jobs pay per hour?

As of Jul 8, 2026, the average hourly pay for data modeling internship in Raleigh, NC is $21.88, according to ZipRecruiter salary data. Most workers in this role earn between $16.83 and $23.85 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.
Infographic showing various Data Modeling Internship job openings in Raleigh, NC as of July 2026, with employment types broken down into 1% As Needed, 79% Full Time, 15% Part Time, 1% Temporary, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $45,502 per year, or $21.9 per hour.

Manager Data Engineering - Agentic AI

Reed Technology

Raleigh, NC

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 21 days ago


Job description

AGENTIC AI Experience RequiredAbout Our Team

LexisNexis Legal & Professional serves customers in more than 150 countries with over 11,000 employees worldwide and is part of RELX, a global provider of information-based analytics and decision tools for professional and business customers.

Within LexisNexis, Intelligize focuses on empowering legal, compliance, and corporate professionals through advanced access to SEC filings and corporate disclosure data. We’re a trusted partner for top law firms, corporations, and regulators seeking clarity and insight from complex financial and legal information.

Our company has been a long-time leader in applying AI and advanced technologies to the legal market—improving productivity, accuracy, and decision-making across the profession. At Intelligize, you’ll join a team that values curiosity, creativity, and collaboration. We bring together experts in law, data, and technology to build products that transform how legal professionals access and understand information.

About the Role

This position provides leadership, management, direction, and vision to data engineering and/or employees—including offshore contractors, consultants, interns, and the quality control team—needed to oversee statistical and analytical data analysis with a focus on data quality and integrity.

As a key technical leader supporting Intelligize\'s business goals, this role collaborates extensively with technology colleagues, product and project leaders, or managers, and is responsible for ensuring the successful completion and delivery of assigned data components and all other associated deliverables. You will play a vital role in maintaining the high-quality data pipelines that power our legal research tools and AI-driven solutions.

Requirements

  • Experience: 10+ years of experience in Data and Scoring Engineering, data management, and data strategy, with a strong technical background and demonstrated expertise in quality control processes and practices.
  • Management: 2+ years’ management experience.
  • Education: Bachelor’s Degree (Engineering/Computer Science preferred but not required); or equivalent experience required. Advanced degree preferred.
  • Methodologies: Advanced understanding of data engineering methodologies, processes, and process improvement.
  • Automation: Leads the development and execution of performance and automation scripts for large-scale projects, with a proven ability to develop and execute complex automated and performance scripts.
  • Data Modeling & Storage: Knowledge in normalized/dimensional data modeling principles and their application to complex business needs. Expert knowledge of multiple data storage subsystems and large complex systems.
  • Database Technology: Strong proficiency in database technology, design and manipulation, optimization, and best practices. Strong proficiency with data manipulation language including optimization techniques. Strong proficiency in writing complex SQL queries (preferably MySQL) to retrieve data from multiple tables.
  • Problem Solving: Strong research and problem-solving skills (tools/root cause analysis). Advanced problem-solving experience involving leading teams in identifying, researching, and coordinating resources to troubleshoot/diagnose complex project issues.
  • Leadership: Ability to lead small to medium-sized team(s) and balance deployment of resources within the group as necessary to support priorities. Proven expert in partnering and leading internal and external technology resources in solving complex business needs.
  • Experience working with any large language model (LLM), preferably through API integration, to build, deploy, or enhance data-driven solutions. Demonstrated ability to leverage LLMs for developing automation scripts, optimizing workflows, or solving complex business needs.
  • Demonstrated expertise in crafting clear, targeted prompts to elicit precise responses from AI models and optimize automation or data-driven workflows.
  • Experience in using Jupyter or Databricks
  • Experience related to Security Exchange Commission

Responsibilities

  • Team Leadership: Successfully partner and lead teams of resources (including offshore) in solving complex business needs. Carry out management responsibilities including interviewing, hiring, training, appraising performance, and rewarding/disciplining employees.
  • Technical Execution: Write advanced complex code for computer systems and serve as a senior source of expertise. Lead the development of technical standards and perform reviews to ensure enterprise and architectural standards and processes are followed.
  • Product & Business Support: Interact with Product Management, Engineering, and Operations teams to plan delivery of products and enhancements and to assure products meet requirements and quality standards. Provide design input across a product.
  • Communication: Serve as the primary technical point of contact for external technology resources. Communicate and present data issues and analysis to a wide audience, including senior management and customers.
  • Continuous Improvement: Manage continuous improvement initiatives and implementation of best practices. Identify opportunities for automation or other utilities. Exhibits innovative approaches to process improvement.
  • Project Management: Conduct project reviews, ensuring review criteria are defined, and implement procedures for ensuring quality control of project deliverables. Maintain flexibility to react quickly to changes in priorities or circumstances to meet the needs of the business.

Work in a way that works for you
 

We promote a healthy work/life balance across the organisation. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals.
 

·       Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive


Working for yo

We believe great work happens when people are supported, trusted, and encouraged to grow. Our benefits are designed to promote well-being, flexibility, and long-term success. What we offer:

  • Flexible remote-first work environment, with the option to work from our New York office.
  • Comprehensive health coverage, including medical, dental, and vision plans.
  • Retirement plan with inclusive risk benefits (disability, critical illness, life cover, and funeral cover).
  • Modern family benefits, including adoption, surrogacy, and parental leave.
  • Paid study leave and professional development support.
  • Well-being initiatives and opportunities for sabbaticals and personal growth.
  • A culture that values work/life balance, clear communication, and continuous learning.
U.S. National Base Pay Range: $115,400 - $192,300. Geographic differentials may apply in some locations to better reflect local market rates. This job is eligible for an annual incentive bonus.

We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location.

We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-855-833-5120.

Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams here.

Please read our Candidate Privacy Policy.

We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.

USA Job Seekers:

EEO Know Your Rights.