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Data Engineer

Data Engineer

Cleveland State UniversityCleveland, OH, US
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Job Summary

Leads the design, development, and maintenance of robust data infrastructure and pipelines to support Cleveland State University's (CSU) enterprise data needs. Ensures efficient data flow between systems, supporting institutional reporting requirements such as IPEDS, ODHE, accreditation, and strategic planning efforts. Transforms raw data into structured formats that support analytics, business intelligence, and data visualization. Collaborates with institutional research, IT, and academic departments to promote data consistency, integrity, and accessibility. Develops and optimizes data models, builds automation for data extraction, transformation, and loading (ETL), and supports campus-wide data governance and literacy initiatives. Provides technical expertise to define and implement CSU's data architecture strategies and tools. Performs other functionally related duties as assigned.

Job Summary

Leads the design, development, and maintenance of robust data infrastructure and pipelines to support Cleveland State University's (CSU) enterprise data needs. Ensures efficient data flow between systems, supporting institutional reporting requirements such as IPEDS, ODHE, accreditation, and strategic planning efforts. Transforms raw data into structured formats that support analytics, business intelligence, and data visualization. Collaborates with institutional research, IT, and academic departments to promote data consistency, integrity, and accessibility. Develops and optimizes data models, builds automation for data extraction, transformation, and loading (ETL), and supports campus-wide data governance and literacy initiatives. Provides technical expertise to define and implement CSU's data architecture strategies and tools. Performs other functionally related duties as assigned.

Minimum Qualifications

  • Bachelor's degree in computer science, information systems, data engineering, or a related field.
  • Three (3) years of progressive experience in data engineering, database management, or enterprise data systems.

Seniority level

Seniority level

Mid-Senior level

Employment type

Employment type

Full-time

Job function

Job function

Information Technology

Industries

Higher Education

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