13 days ago
Tampa, FL, USAMid Level

Responsibilities

  • Develop and maintain complex data processes, programs, and pipelines for data integration, transformation, cleansing, consolidation, and validation.
  • Create and maintain SAS, SQL, and related data processing programs for large and complex databases and institutional systems.
  • Design and implement data models, data structures, and integration processes supporting analytics, reporting, and data sharing.
  • Develop, enhance, publish, and schedule reports, dashboards, and analytical outputs.
  • Maintain data integrity, completeness, accuracy, consistency, reliability, and reproducibility across data products and technical deliverables.
  • Collaborate with faculty, operational staff, business users, stakeholders, external institutions, and agencies to define requirements and deliver technical solutions.
  • Apply data governance, security, privacy, and data management requirements while documenting systems, processes, workflows, and standard operating procedures.
  • Identify and implement improvements in data processing, integration, reporting, automation, standardization, and reuse.
  • Communicate project progress, timelines, risks, issues, accomplishments, and mitigation strategies to management.
  • Develop domain expertise in enterprise applications, institutional data systems, data processing technologies, and business intelligence tools.

Requirements

  • Bachelor’s degree in Computer Science, MIS, or another field involving software and analytical training plus two years of relevant work experience.
  • Alternatively, a bachelor’s degree in any field plus three years of relevant work experience.
  • Preferred qualifications include a master’s degree plus one year of relevant work experience, or six years of relevant work experience combined with validated training.
  • Preparation for a relevant IT certification may qualify as related training when validated through certification requirements and completion documentation.
  • Relevant IT, data processing, analytical, data modeling, reporting, and stakeholder collaboration experience is required for the role.

Tech Stack

SassSQL

Categories

Data Engineering
University of South Florida

About University of South Florida

1,001-5,000 employees

The University of South Florida is a public research university that educates undergraduate, graduate, and professional students while conducting sponsored research for government and industry partners. Its revenue comes from tuition and fees, state appropriations, research grants and contracts, and auxiliary services. Founded in 1956, USF is headquartered in Tampa with additional campuses in St. Petersburg and Sarasota-Manatee, and holds Carnegie R1 status within the State University System of Florida.

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