Data Systems Engineering Intern- Summer 2026

Orlando Utilities Commission (OUC)

1d•$18 - $21•Hybrid

About The Position

OUC – The Reliable One, an industry leader and the second-largest municipal utility in Florida, is offering an internship program in the Emerging Technology division. The OUC Internship Program is dedicated to providing students with real-world, hands-on experience by partnering with energy leaders and experienced professionals, while bringing new and out-of-the-box perspectives and ideas that are essential for fostering the creativity and growth of any business. OUC’s internship program provides emerging talent with an immersive view of the utility industry through on-the-job training, educational sessions, self-paced learning courses, and individual or team projects. We are looking for a Data Systems Engineering Intern. During this internship, you will partner with the Data Delivery and Analytics team.

Requirements

Currently enrolled at an accredited college or university.
Academic status of Senior or Master’s.
Program of study: Systems and Industrial Engineering, Data analytics, Information Technology, Cybersecurity or Engineering Management.
Cumulative GPA of 3.0 or above at the time of application.
Authorized to work in the United States.
Previous internship experience preferred
Strong academic foundation in Systems Architecture, Process & Simulation, IT Integration, Predictive Analytics and Data analytics.
Excellent organizational skills with keen attention to detail.
Self-motivated and proactive; able to work independently.
Ability to prioritize and resolve issues under deadlines.
Strong verbal and written communication skills.
Solid analytical thinking and problem-solving ability.
Proven ability to learn new skills quickly.

Responsibilities

Partnering with cloud architects and business leaders to support strategic planning and financial forecasting related to SaaS usage.
Evaluate the current data ecosystem to assess gaps in data quality, controls, and risk exposure across end-to-end processes.
Define and implement scalable data quality rules, monitoring mechanisms, and risk mitigation controls.
Collaborate with engineering and business teams to integrate quality and risk frameworks into data pipelines, reporting, and governance practices.
Work closely with data engineering, analytics, and business stakeholders to document data lineage, establish standards, and develop a domain-oriented data architecture.
Develop models and dashboards that provide actionable insights to guide technology expansion, migration strategies, and evaluation of data product success.