Data Analytics Engineer, College of Natural Sciences
Core
Designs, develops, and supports integrated data solutions enabling informed decision-making across academic, research, and administrative functions of the university.
Role type
Data Analytics Engineer
Builds
Integrated data structures, relational databases, and scalable data pipelines within the UT Data Hub framework.
Domain
Higher Education / Data Engineering & Analytics
Deliverable
production ML models | product features | dashboards & analysis
Required skills
SQL, relational database design, data cleaning and orchestration, data transformation, data visualization design, data governance compliance, version control, pipeline automation
Preferred skills
Cloud data platforms, PostgreSQL, BI tools (Power BI, Tableau), metadata management, higher education data domains
Technologies
SQL, PostgreSQL, Power BI, Tableau, UT Data Hub
Responsibilities
Develop and validate relational databases and integrated data structures; collaborate with partners to collect requirements and refine business logic; locate, clean, and orchestrate source data; craft code for translating business logic into high-scale database environments; design database structures for data visualizations and interactive tools; engage in best practices for data analytics and engineering including testing, documentation, and automation; assist with special projects and ad hoc data requests.
Seniority
Mid-level, hands-on IC