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Internship Utility Engineer Jobs in Dallas, TX (NOW HIRING)

TBA Paid-internship : $25/hr About Kaizen Kaizen Analytix is a global technology consulting firm ... utilities, pipeline components) * Help build and maintain data pipelines used for training and ...

Posted today

LRE Internship Program

Dallas, TX ยท On-site

$14.75 - $19.75/hr

Born in Texas in 2003, we own and operate over 30 utility-scale wind, solar, and energy storage ... Engineering, Development, Human Resources, Information Technology, Operations, Project Execution ...

Summer 2027 Internships

Fort Worth, TX ยท Hybrid

$14.50 - $17.25/hr

Water Transmission & Utilities * Water/Wastewater Treatment Internship opportunities are available ... Mechanical Engineering (Water Transmission & Utilities only) Responsibilities: * Perform specific ...

Summer 2027 Internships

Fort Worth, TX ยท On-site

$14.50 - $17.25/hr

Water Transmission & Utilities * Water/Wastewater Treatment Internship opportunities are available ... Mechanical Engineering (Water Transmission & Utilities only) Responsibilities: * Perform specific ...

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Internship Utility Engineer information

See Dallas, TX salary details

$10

$19

$29

How much do internship utility engineer jobs pay per hour?

As of Aug 12, 2026, the average hourly pay for internship utility engineer in Dallas, TX is $19.11, according to ZipRecruiter salary data. Most workers in this role earn between $15.91 and $20.67 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an internship utility engineer?

To thrive as an Internship Utility Engineer, you generally need a background in civil, electrical, or mechanical engineering, strong analytical skills, and progress toward a relevant engineering degree. Familiarity with CAD software, GIS systems, and Microsoft Office Suite is typically required, and knowledge of safety regulations is beneficial. Strong problem-solving ability, effective communication, and teamwork are valuable soft skills for this role. These skills ensure you can contribute to utility projects, support engineering teams, and help maintain safety and efficiency in utility operations.

What does an internship utility engineer do?

An Internship Utility Engineer assists professional engineers in planning, designing, and maintaining utility systems such as water, electricity, gas, or telecommunications. Typical tasks include conducting site inspections, preparing technical reports, supporting project management tasks, and assisting with data analysis. This role provides hands-on experience in engineering fundamentals and exposure to real-world utility projects. Interns often work under the supervision of licensed engineers and are expected to collaborate with various teams to help ensure the efficient operation of utility infrastructure.

What is the difference between Internship Utility Engineer vs Utility Engineer?

AspectInternship Utility EngineerUtility Engineer
CredentialsTypically pursuing or recently completed relevant degree; no professional license requiredBachelor's degree in engineering or related field; may require professional licensing or certifications
Work EnvironmentInternship setting, often in training or mentorship programs within utility companiesFull-time professional role in utility plants, infrastructure, or energy companies
Employer & Industry UsageUsed in training programs for utility companies, often as a stepping stone to full engineer rolesEstablished role in utility operations, maintenance, and infrastructure management

The main difference is that an Internship Utility Engineer is a training position for students or recent graduates gaining practical experience, while a Utility Engineer is a full-time professional responsible for maintaining and operating utility systems. Internships serve as a pathway to becoming a licensed or experienced Utility Engineer.

What types of projects or tasks can I expect to work on as an internship utility engineer?

As an Internship Utility Engineer, you'll typically assist with a variety of tasks supporting senior engineers, such as conducting site inspections, collecting and analyzing utility data, and helping to design or review plans for water, gas, or electrical distribution systems. You may also have opportunities to use engineering software for drafting and modeling, and collaborate closely with project managers and field crews to ensure project goals are met. This hands-on experience provides a solid foundation for understanding both the technical and practical aspects of utility engineering within a collaborative team environment.
What are the most commonly searched types of Utility Engineer jobs in Dallas, TX? The most popular types of Utility Engineer jobs in Dallas, TX are:
What are popular job titles related to Internship Utility Engineer jobs in Dallas, TX? For Internship Utility Engineer jobs in Dallas, TX, the most frequently searched job titles are:
What cities near Dallas, TX are hiring for Internship Utility Engineer jobs? Cities near Dallas, TX with the most Internship Utility Engineer job openings:
Infographic showing various Internship Utility Engineer job openings in Dallas, TX as of August 2026, with employment types broken down into 92% Full Time, 3% Part Time, and 5% Contract. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution, with an average salary of $39,742 per year, or $19.1 per hour.

AI Engineer Internship

Kaizen Analytix

Dallas, TX โ€ข On-site

$25/hr

Other

Posted 21 hours ago

Posted today


Job description

Employment Type: Onsite Internship
Location: Dallas, TX
Travel Required: TBA
Paid-internship: $25/hr
About Kaizen
Kaizen Analytix is a global technology consulting firm that helps organizations unlock the full value of their data through advanced analytics, artificial intelligence, and modern data platforms. We partner with clients across industries to solve complex business problems, modernize legacy systems, and drive measurable outcomes. At Kaizen, we combine deep technical expertise with a collaborative, people-first culture focused on continuous improvement. Our teams work at the intersection of strategy, technology, and execution to deliver solutions that make a real impact. 
Job Overview
We are looking for an AI Engineer Intern to support our AI/ML team in building and maintaining components of our AI projects and data infrastructure. This is a hands-on learning role for someone with a foundation in machine learning or data engineering who wants practical exposure to generative AI, large language models (LLMs), and the data systems that support them. The intern will work under the guidance of senior engineers on real project tasks, with a focus on skill-building rather than independent ownership.
Key Responsibilities
Hands-on Development (Supported)
  • Assist in building, testing, and fine-tuning components of generative AI and LLM-based applications (e.g., chatbots, content generation, RAG pipelines) under supervision
  • Support experimentation with prompt engineering, retrieval-augmented generation (RAG), and basic model fine-tuning techniques
  • Write clean, documented Python code for smaller, well-scoped tasks (e.g., data preprocessing scripts, evaluation utilities, pipeline components)
  • Help build and maintain data pipelines used for training and evaluating models, under the direction of a mentor
     
Learning & Exploration
  • Learn core deep learning concepts (CNNs, RNNs, Transformers, attention mechanisms) and apply them to guided project tasks
  • Research and summarize recent papers or techniques in generative AI, LLMs, or AIOps as directed by the team
  • Explore vector embeddings and vector storage approaches, and document findings for the team

Collaboration
  • Participate in team meetings, stand-ups, and design discussions to understand how AI systems are architected end-to-end
  • Work alongside data scientists and engineers to understand requirements and how they translate into implementation
  • Present learnings, progress, and small deliverables to the team on a regular cadence

Qualifications
  • Currently pursuing or recently completed a Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related field
  • Coursework or personal/academic project experience with Python and at least one ML framework (e.g., PyTorch, TensorFlow, Scikit-learn, Hugging Face Transformers)
  • Basic understanding of deep learning fundamentals (neural networks, model training, evaluation metrics)
  • Familiarity with, or strong interest in, generative AI and LLM concepts (fine-tuning, RAG, prompt engineering) — prior hands-on experience is a plus but not required.
  • Understanding of basic software engineering practices (version control with Git, writing readable code, basic testing).
  • Strong analytical and problem-solving skills, with willingness to learn and take direction.
  • Good communication skills and comfort working in a collaborative, remote team environment.

Kaizen Analytix is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veteran status, or any other status protected by applicable federal, state, or local law.
 

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