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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.

What are the most commonly searched types of Data Modeling jobs in Indiana?

The most popular types of Data Modeling jobs in Indiana are:

What cities in Indiana are hiring for Data Modeling Internship jobs?

Cities in Indiana with the most Data Modeling Internship job openings:

Data Modeling Internship jobs near you

Operational Technology Engineer

The AES Corporation

Indianapolis, IN • On-site

Full-time

Re-posted 19 days ago

AES Corporation rating

7.4

Company rating: 7.4 out of 10

Based on 36 frontline employees who took The Breakroom Quiz

37th of 53 rated energy and utility

Job description

Are you ready to be part of a company that's not just talking about the future, but actively shaping it? Join The AES Corporation, the largest US-based global power company with a team of 8,300 employees across 12 countries.
AES has been ranked #1 by BloombergNEF in renewable energy sales to corporations in the US and Americas for five consecutive years, providing electricity for millions of people worldwide.
We are proud to foster a strong workplace culture, earning prominent positions in Great Place to Work™ rankings across the markets where we operate. AES was also named one of the World's Most Ethical Companies for the 13th consecutive year in 2026, highlighting our dedication to integrity, transparency, and responsible business practices.
Our spirit of innovation continues to earn industry recognition. AES is the only seven-time winner of the Edison Electric Institute's Edison Awards in the twenty-first century, a distinction honoring global leadership in advancing the electric power industry.
If you're ready to be part of a company that's not just adapting to change, but driving it, AES is the place for you. We're not just building a more sustainable future, we're powering it. Apply now and energize your career with a true leader in global energy.
Support the design, configuration, implementation, and maintenance of Distribution Management System (DMS), SCADA, Outage Management System (OMS), and related operational technology (OT) platforms used to monitor and control the transmission and distribution (T&D) network for DP&L and IPL. These systems are critical to ensuring safe and reliable electric grid operations.
The role requires foundational knowledge of hardware and software systems, T&D operations, networking, and cybersecurity, with exposure to power system modeling and remote field devices. The engineer will work with both modern and legacy technologies while supporting the AES Digital Strategy.
Key Responsibilities:
  • Assist in the configuration, installation, and maintenance of OT systems to support reliable grid operations.

  • Support the development and maintenance of data models for ADMS power system applications.

  • Help configure and support advanced applications such as Distribution Power Flow (DPF), Fault Location, Isolation & Service Restoration (FLISR), and Volt/VAR Control (VVC).

  • Collaborate on integrating Geographic Information System (GIS) data into ADMS by supporting data extraction, translation, and loading processes.

  • Provide support for daily operations of OT systems used by T&D field teams, engineering, planning, reporting, and dispatch.

  • Assist in troubleshooting issues and escalating complex problems to senior engineers as needed.

  • Work with cross-functional teams to support OT applications and improve system performance.

  • Partner with internal stakeholders to understand business needs and contribute to process improvements through technology.

  • Support documentation efforts, including diagrams of current and future OT architectures.

  • Participate in testing, deployment, and validation of system updates and enhancements.

  • Stay informed on applicable regulations and support compliance activities.

  • Participate in the OT team's on-call rotation (as required, typically with supervision during initial period).

  • Support vendor coordination and assist in evaluating tools and solutions.

  • Perform other duties as assigned.

Qualifications and Requirements:
  • Bachelor's degree in Electrical Engineering or a related field (preferred ABET-accredited institution).

  • 1-3 years of relevant experience (internships or academic projects in power systems or OT are a plus).

  • Basic understanding of power systems, SCADA, or industrial control systems.

  • Foundational knowledge of hardware, software, and networking concepts.

  • Interest in learning about real-time T&D control systems and OT environments.

  • Strong analytical and problem-solving skills.

  • Good written and verbal communication skills.

  • Ability to work collaboratively in a team environment and learn from senior engineers.

AES is an Equal Opportunity Employer who is committed to building strength and delivering long-term sustainability through diversity and inclusion. Respecting all backgrounds, differences and perspectives enables us to improve the lives of our people, customers, suppliers, contractors, and the communities in which we live and work. All qualified applicants will receive consideration for employment without regard to sex, sexual orientation, gender, gender identity and/or expression, race, national origin, ethnicity, age, religion, marital status, physical or mental disability, pregnancy, childbirth, or related medical condition, military or veteran status, or any other characteristic protected under applicable law. E-Verify Notice: AES will provide the Social Security Administration (SSA) and if necessary, the Department of Homeland Security (DHS) with information from each new employee's I-9 to confirm work authorization.

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