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Data Engineer

Job in Orlando, Orange County, Florida, 32885, USA
Listing for: Orlando Utilities Commission
Full Time position
Listed on 2025-12-22
Job specializations:
  • IT/Tech
    Data Engineer, Data Analyst, Data Science Manager
Salary/Wage Range or Industry Benchmark: 99981 - 124977 USD Yearly USD 99981.00 124977.00 YEAR
Job Description & How to Apply Below

OUC - The Reliable One is presently seeking a Data Engineer to join the Transformation division. At OUC, we don’t just work – we’re building a bright future of innovation and transformation for future generations.

This is a hybrid position offering two remote workdays per week. Must be onsite Tuesdays and Thursdays.

We are looking for a highly skilled and innovative profession to structure, organize, and optimize scalable data pipelines, cloud architecture, and business intelligence. This role will translate complex business needs into secure, high performance data solutions. If you thrive at the intersection of data engineering, cloud technology, and advanced analytics, this is an opportunity to make a measurable impact.

OUC is an industry leader and the second largest municipal utility in Florida committed to innovation, sustainability, and our community. OUC’s mission is to provide exceptional value to our customers and community by delivering sustainable and reliable services and solutions.

Join a team of visionary Change Agents, Strategists, and Community Ambassadors who understand the vital role of diverse experiences in powering creativity and industry transformation.

At OUC, each position contributes to the success and achievement of our goals.

to learn more about what we do.

The ideal candidate will have:
  • Bachelor’s Degree in Information Technology, Computer Science, Computer Engineering, Management Information Systems, Mathematics, Statistics or related field of study, from an accredited college or university.
  • Master’s Degree in Data Engineering, Information Systems, or related field of study from an accredited college or university (preferred.)
  • Minimum of three (3) years of experience in SQL or Python Programming, ELT/ELT processes, data warehousing & cloud, data modeling and architecture, data security and governance, and visualization and reporting.
  • Experience with cloud infrastructure components as well as self service analytics platforms.
Compensation and Benefits
  • Competitive compensation
  • Low-cost medical, dental, and vision benefits and paid life insurance premiums with no probationary period.
  • OUC’s Hybrid Retirement Program includes a fully-funded cash balance account, defined contribution with employer matching along with a health reimbursement account
  • Generous paid vacation, holidays, and sick time
  • Paid parental leave
  • Educational Assistance Program, to include tuition reimbursement, paid memberships in professional associations, paid conference and training opportunities
  • Wellness incentives and free access to all on-site OUC fitness facilities
  • Access to family-oriented recreational areas
  • Paid Conference and Training Opportunities
  • Free downtown parking
  • Hybrid work schedule

to view our Benefits Summary.

Salary Range: $99,981.65 - $ annually - commensurate with experience

Location Gardenia –3800 Gardenia Ave, Orlando, FL 32839

Please see below a complete Job description for this position.

Job Purpose:

Performs ETL/ELT processes, designs data models, and implements multidimensional data architectures to optimize data processing for analytics, reporting, business intelligence, and operational decision-making.

Develops and enhances scalable data pipelines, integrations, and storage solutions across on-premises and cloud environments, ensuring high-performance, reliable data accessibility.

Builds and maintains AI/ML-ready data infrastructure, enabling seamless integration of machine learning models and automated analytics workflows. Supports feature engineering, model training, and inference to enhance predictive and prescriptive analytics capabilities. Executes query auditing, code reviews, quality assurance (QA), and data governance to uphold best practices in security, performance, and compliance, ensuring integrity, reliability, and accessibility of data assets.

Translates business requirements into technical designs, optimized data flows, and infrastructure solutions, ensuring alignment with organizational objectives. Collaborates with data scientists, ML engineers, analysts, and IT teams to streamline data workflows, troubleshoot performance bottlenecks, and maintain scalable architectures for…

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