Data Engineer II: Pipelines & Analytics

University of South Florida; Tampa (FL); Presencial; USD 90.000 - 120.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Health insurance

Tuition benefits

Retirement plan options

Generous leave and discounts

Descripción de la vacante

University of South Florida is seeking a Data Engineer II to collaborate with faculty, staff, and stakeholders to develop and optimize data pipelines, datasets, and reports supporting Florida Parkinson’s Disease Registry initiatives. The role focuses on data integration, quality assurance, governance, and secure data sharing across programs.

You will design data models, implement robust data processes, and produce analytics outputs while ensuring compliance with institutional data governance

Formación

• Bachelor's degree in CS, MIS or related field with 2 years of relevant experience, or Bachelor's with 3 years.
• Experience designing and maintaining data pipelines and data integration.
• Familiarity with data governance, security, and compliance.

Responsabilidades

• Develop, maintain, and optimize data pipelines and datasets.
• Create SAS and SQL programs to extract and transform data.
• Design data models and integration processes.
• Develop reports, dashboards, and analytical outputs.
• Ensure data quality, integrity, and governance.
• Collaborate with faculty, staff, and stakeholders to translate requirements.
• Coordinate with external institutions for data exchange.

Conocimientos

SAS

SQL

Data Pipelines

Data Modeling

Data Governance

Stakeholder Collaboration

Educación

Bachelor's degree in CS, MIS or related field

Herramientas

SQL Server

ETL Tools

Data Visualization Tools

Descripción del empleo

University of South Florida is seeking a Data Engineer II to collaborate with faculty, staff, and stakeholders to develop and optimize data pipelines, datasets, and reports supporting Florida Parkinson’s Disease Registry initiatives. The role focuses on data integration, quality assurance, governance, and secure data sharing across programs.

You will design data models, implement robust data processes, and produce analytics outputs while ensuring compliance with institutional data governance