Coordinator, Data Engineer

$65,000 - $75,000/Yr

University of Florida - Gainesville, FL

Full-time

Gainesville, FL

Educational Services

About the position

The Coordinator, Data Engineer position at the University of Florida Lastinger Center for Learning focuses on improving educational outcomes through effective data management and infrastructure. The role involves maintaining data systems, leading data projects, and providing consultation to faculty and staff on data solutions. The position is integral to the Center's mission of enhancing teaching and learning through research-based practices and educational technologies.

Responsibilities

• Leads in the selection, installation, and maintenance of data systems.
• Interfaces with vendors and University organizations to resolve data problems.
• Consults on programming and administration for applications and databases.
• Develops and maintains programs and scripts to aid in data management.
• Provides oversight for the configuration, maintenance, and security of data systems.
• Manages the development of plans, schedules, and requirements for the deployment and lifecycles of data systems.
• Leads and provides oversight for development data projects of moderate to large scale.
• Develops proposals, work plans, training plans, budgets, and reports of data projects.
• Provides consultation to faculty and staff in the design and structure of data solutions for operations, development, research, and evaluation.

Requirements

• Bachelor's degree in an appropriate area and two years of relevant experience; or an equivalent combination of education and experience.

Nice-to-haves

• Azure administrator and data experience, training and/or certifications.
• Ability to use data to tell compelling stories, both within the team and with external stakeholders.
• The ability to navigate ongoing changes related to new data sources and evolving business requirements.
• Data professionals who enjoy learning new skills and adapting to changes in their environment, tools, and responsibilities at pace.
• Understanding business needs, and then identifying, defining, and resolving business problems leveraging data.
• Ability to frame data insights in terms of business value.