Data Engineer

Cleveland State UniversityCleveland, OH, US

job_description.job_card.variable_days_ago

serp_jobs.job_preview.job_type

serp_jobs.job_card.full_time

job_description.job_card.job_description

Posting Details

Posting Details Business Title Data Engineer Posting Category IT / Technology Salary Grade 08T Salary Plan Professional Staff - SEIU Hiring Range / Pay Rate Department Institutional Research Department Description Position Location Main Campus FTE 1.0 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.

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.

serp_jobs.job_alerts.create_a_job

Data Engineer • Cleveland, OH, US