Data Engineer Senior Coordinator

University of Florida•Gainesville, FL

About The Position

The University of Florida Lastinger Center for Learning seeks a Data Engineer Senior Coordinator to support its mission of improving the quality of teaching, learning, and childcare. The Center researches, develops, and scales educational innovations for adults and children, focusing on kindergarten readiness, third-grade reading proficiency, and algebra proficiency. It works across research, practice, and policy to develop sustainable systems that leverage educational technologies and improve implementation of research-based practices. The Center describes itself as a dynamic, entrepreneurial workplace and is committed to valuing a broad range of thought, skill, and experience. The role supports data infrastructure for data science research, including data collection and reporting, database and data warehouse/lake design across platforms and computing environments, and a flexible but secure data architecture. The coordinator assists developers in streamlining and expanding analysis and reporting for internal use and client reporting, mentors others in database and warehouse application development, and oversees policies and procedures that support database integrity and availability. The position also coordinates analysis and reporting priorities with research, evaluation, and data teams for each Center product, aligned with OKRs. It analyzes data requirements, architectures, dictionaries, and schemas; develops and optimizes database schema designs; and evaluates data credibility, relevance, and meaning. In addition, the coordinator works with product and research teams to identify AI opportunities, establishes practices for prompt engineering and validating model outputs and AI-assisted code or queries, selects suitable AI tools and frameworks, and develops backend structures for data-layer AI tools supporting Center-wide initiatives. The position is soft-funded and time-limited. Applicants must submit a cover letter and resume by 11:55 p.m. Eastern Time on the posting end date. A health assessment is not required.

Requirements

Bachelor’s degree and five years of appropriate experience; appropriate college coursework or vocational/technical training may substitute at an equivalent rate for the required experience.
Submit a cover letter and resume to be considered.

Nice To Haves

Familiarity with data-intensive technologies and practices.
Knowledge of SAS, R, Python, and SQL, or data visualization software.
Understanding of compliance related to disclosure laws, regulations, and other requirements.
Ability to communicate clearly in multiple venues and formats with non-technical audiences.
Expertise in large-scale education data and data from application use.
Experience with data infrastructure and data visualization.
Interest in transforming education through the application of data science.
Commitment to the responsible use of data for the benefit of society.
Proactive, precise, and persistent approach.
Organization and planning skills to ensure timely follow-through.

Responsibilities

Prepare data infrastructure for data science research by building data collection and reporting infrastructure.
Contribute to the development and design of databases and data warehouses or lakes across multiple platforms and computing environments.
Contribute to an overall data architecture that supports business information needs in a flexible and secure environment.
Assist developers in streamlining and expanding analysis and reporting for internal use and client reporting.
Mentor others in developing and designing database and warehouse applications across multiple platforms and computing environments.
Develop, implement, and oversee database policies and procedures to ensure the integrity and availability of databases and accompanying software.
Collaborate with research, evaluation, and data teams to establish actionable, high-value analysis and reporting priorities for each Lastinger Center product, aligned with OKRs.
Analyze data requirements, application and processing architectures, data dictionaries, and database schemas; design, develop, amend, optimize, and certify schema designs to meet system requirements.
Gather, analyze, and normalize information related to business processes, functions, and operations to evaluate data credibility and determine relevance and meaning.
Collaborate with product and research teams to identify opportunities for AI to improve data processing, coordination, or reporting efficiency.
Develop standards and best practices for prompt engineering, model output validation, and AI-assisted code and query generation.
Evaluate and select AI tools, models, and frameworks based on data sensitivity, performance requirements, and long-term maintainability.
Develop backend structure to support data-layer AI tools for Center-wide initiatives.
Perform other duties as assigned.