University of Central Florida
Data Engineer IV, Data Platforms
Orlando, FL (Main Campus), USA
Stay score
odds of building a lasting career here
Files H-1B any time — no cap, no lottery. The 2026 weighted-selection rule doesn't touch it, which makes this the strongest structural path for entry-level talent. Pay is often lower, but your odds of staying are dramatically higher.
Lottery odds assume a STEM candidate.
Personalize to your clock →H-1B wage level
the lottery is wage-weighted — each level is one more entry
$21,497 more — $110,573 — moves this role to Level II and 2 lottery entries. That figure is inside the range the employer already advertised.
Based on the DOL prevailing wage for this occupation and worksite, a base salary of $110,573 would place this position at wage Level II. That figure is within the posted range, and I'd like to target it. This role classifies under "Software Developers" for prevailing-wage purposes.
DOL prevailing wage, 2026-27 wage year · Software Developers (15-1252) · Orlando-Kissimmee-Sanford, FL. Wage level is derived by USCIS from the offered wage, occupation and worksite; the occupation shown is inferred from the job title.
Employer immigration record
from this employer's Department of Labor filings
States it is exempt from the H-1B cap
Files H-1B transfers
Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.
Community outcomes
No reports yet — be the first to help the next applicant.
About the role
- The UCF IT department within University Operations is seeking to hire a Data Engineer IV, Data Platforms.
- Classification Title: Software Systems Engineer IV
Responsibilities
- Design, build, and maintain Microsoft Fabric and Azure data platform solutions, ensuring scalability, performance, security, and cost efficiency.
- Lead the modernization of legacy reporting systems and data stores to the enterprise data platform.
- Develop and maintain enterprise data models, semantic models, and certified datasets that support university reporting and analytics.
- Build and maintain ETL/ELT pipelines, dataflows, notebooks, and integrations, including orchestration, monitoring, and data quality processes.
- Implement approved data and AI standards, policies, and governance practices in collaboration with university stakeholders and governance teams.
- Consult with university stakeholders and IT partners to design data and AI solutions, evaluate options, and provide technical recommendations.
- Serve as a senior technical lead by conducting design and code reviews, mentoring team members, resolving complex issues, and promoting knowledge sharing and documentation.
- Maintain current knowledge of data, analytics, and AI technologies through professional development and training.
- Perform other duties as assigned.
Requirements
- Bachelor's degree and 5 years of relevant experience
Nice to have
- Master's degree in Computer Science, Information Technology, Data Science, Information Systems, Engineering, or a related field.
- Experience designing, implementing, and administering enterprise data platforms, particularly Microsoft Fabric and Azure data services.
- Experience administering and supporting enterprise AI platforms, such as Microsoft Copilot, Google Gemini, or similar technologies.
- Experience implementing data governance, security, quality, and architecture standards across enterprise technology environments.
- Professional certifications or advanced training in Microsoft Azure, Microsoft Fabric, data engineering, cloud technologies, or artificial intelligence.
- Special Instructions to the Applicants:
- Position requires a valid Class E driver's license.
- We urge you to please take the time to complete the application in its entirety.
Compensation
- The anticipated salary range for this position is $89,076 - $111,345.
Visa & Work Authorization
- All applicants must be authorized to work for any U.S. employer.
This listing is sourced directly from University of Central Florida's careers page and normalized into a canonical job model.