Data Engineer II

University of Florida•Gainesville, FL

4d•$82,000 - $95,000•Onsite

About The Position

UF Information Technology (UFIT) is currently seeking an intermediate level Data Engineer II to join Data Platform and Analytics – Data Engineering, a unit within UFIT. UF Information Technology (UFIT) enables teaching, learning, research, and service on campus and across the region with state-of-the-art enterprise IT systems, including SEC and SUS universities, and the opportunity to teach using HiPerGator. As a key contributor to the Data Engineering team within Data Platform and Analytics, you will actively engage in diverse projects, undertaking responsibilities such as implementing data pipelines, optimizing data structures, integrating datasets, developing scalable compute workloads, and advancing enterprise metadata and semantic management. This intermediate-level role, under general supervision, entails close collaboration with customers, business analysts, and team members to understand business requirements and translate them into high-quality technical solutions. Your primary focus will include supporting the analysis and design of data and semantic solutions that improve data accessibility, understanding, and use across the organization. With a robust understanding of IT systems and capabilities, you will actively participate in and demonstrate proficiency in IT systems, development lifecycles, quality assurance and testing, data integration methodologies, semantic modeling, and emerging technologies that support intelligent and AI-enabled data applications.

Requirements

Associate's degree and two years of relevant experience; or a high school diploma or equivalent and four years of relevant experience.
Appropriate college coursework or vocational/technical training may substitute at an equivalent rate for the required experience, but does not negate the minimum degree requirement(s).

Nice To Haves

Knowledge of approaches, tools, and techniques for recognizing, anticipating, and resolving organizational, operational, and data-related problems; ability to apply this knowledge appropriately to diverse situations.
Ability to learn and apply new technologies, methodologies, and concepts in a rapidly evolving data and AI environment.
Understanding of data pipeline methodologies, including data ingestion, transformation, integration, and orchestration.
Understanding of database concepts, functionality, and data modeling principles.
Understanding of object-based storage concepts and technologies.
Understanding of metadata management, data semantics, and ontology concepts, including their role in establishing consistent meaning and relationships across enterprise data.
Understanding of data governance, data quality, and data management principles.
Ability to work with technical and business stakeholders to understand data requirements and translate business concepts into data and semantic models.

Responsibilities

Design, develop, and maintain data solutions supporting data accuracy, replication, transformation, metadata management, and data repository creation within the UF OneLake, which provides data repositories for information systems managed by UFIT.
Troubleshoot and performance tune existing data pipelines. Make recommendations toward the development of new code or reuse/enhancement of existing code. Review processes that audit data synchronization for data corrections.
Support enterprise metadata management and the development of semantic models and ontologies that define relationships, concepts, and business meaning across data domains to enable AI, machine learning, knowledge graph, and natural-language data applications.
Assist in the development, maintenance, and support of the UF OneLake and corresponding data models, including near-real-time and batch data pipelines, dimensional and star schema design, and operational reporting data models. Debug and modify program code, manage project deadlines, and ensure established quality control and data management practices are followed.