Data Engineer

Cleveland State University • Full-time • Cleveland, Ohio, United States • $66.25k - $97.23k / year • 1m ago

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.

Preferred Qualifications

Master’s degree in computer science, information science, or a related technical discipline.
Experience with cloud-based data platforms (e.g., Azure, AWS, or Google Cloud).
Proficiency with SQL, Python, and ETL tools (e.g., SSIS, Apache Airflow, or Informatica).
Experience managing or mentoring technical teams.
Familiarity with data challenges and compliance requirements in higher education.
Prior leadership experience in a higher education or public sector environment.

Knowledge, Skills, and Abilities (KSAs)

Comprehensive knowledge of data engineering principles, including data modeling, ETL/ELT processes, data warehousing, lakehouse architecture, and metadata management.
Strong knowledge of modern data technologies, platforms, and tools such as SQL, Python, Spark, and cloud-based ecosystems e.g., Azure, AWS, Snowflake, Databricks.
Knowledge of higher education data environments and regulatory compliance requirements, including FERPA, HIPAA, IPEDS, NSF reporting, and other state/federal mandates.
Strategic thinking and adaptability, with the ability to align data initiatives with institutional goals and respond to evolving organizational needs and technologies.
Commitment to data governance and security, ensuring compliance with all relevant policies, standards, and legal requirements.
Excellent communication and interpersonal skills, with the ability to present complex technical concepts clearly to both technical and non-technical stakeholders.
Advanced analytical and technical skills, with the ability to solve complex data architecture problems and translate strategic data needs into actionable engineering solutions.
Possess a high degree of confidentiality to available information.
Proficient in Microsoft Office Suite, including Word, Excel, Outlook, Teams, and PowerPoint.

Requisition Number

PT0703680S

Date grant, position, or appointment expires (For Funds Available, Temporary, and Waiver of Posting

Special Instructions to Applicants

Applicant Instructions

Offer of employment is contingent on satisfactory completion of the University’s verification of credentials and other information required by law and/or University policies or practices, including but not limited to a criminal background check.
Mailed or emailed application materials will not be accepted.

Hours per week

Work Schedule

Monday-Friday, typically 8:00 am- 5:00 pm.

Advertising Copy

Full Time/Part Time

Full Time

Posted Date

08/21/2025

Close Date/Application Deadline

Open Until Filled

Yes

Review Begins

08/28/2025

Tentative Start Date

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