Cleveland State University
Data Engineer
🇺🇸 Hybrid - Cleveland, OH
🕑 Full-Time
💰 TBD
💻 Data Science
🗓️ August 22nd, 2025
Edtech.com's Summary
- Lead design and maintenance of data infrastructure and pipelines.
- Support institutional reporting requirements including IPEDS, ODHE, and accreditation.
- Transform raw data for analytics, business intelligence, and visualization.
- Collaborate with institutional research, IT, and academic departments for data integrity and accessibility.
- Develop and optimize data models and automate ETL processes.
- Provide technical expertise for data architecture strategies and tools.
- Required skills include proficiency with SQL, Python, ETL tools, and cloud data platforms (Azure, AWS, Google Cloud).
- Minimum qualifications: Bachelor's degree in computer science or related field and three years of progressive experience in data engineering or related fields.
- Preferred qualifications include a Master’s degree, cloud platform experience, leadership skills, and familiarity with higher education data compliance.
- Work within the Institutional Research department supporting campus-wide data governance and literacy initiatives.
Data Engineer Full Description
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. 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.
Applications will be exclusively accepted online at http://www.csuohio.edu/offices/hrd/employment.html. Mailed or emailed application materials will not be accepted.
Hours per week | 40
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 |
- * How did you hear about this employment opportunity?
- Public Job Posting
- Internal Job Posting
- Agency Referral
- Advertisement/Publication
- Personal Referral
- CSU Website
- Other
- * Do you have a bachelor's degree in computer science, information systems, data engineering, or a related field?
- Yes
- No
- * Do you have three (3) years of progressive experience in data engineering, database management, or enterprise data systems?
- Yes
- No
- * Are you a current, internal SEIU applicant/team member?
- Yes
- No
- If you selected 'Public Job Posting" or "Other" please provide source.
(Open Ended Question) - * Do you require any type of accommodation, should you be invited to campus for further screening? Please contact CSU at (216) 687-3636 if you need accommodation.
- Yes
- No
- * Are you able to perform the essential functions of this position with or without reasonable accommodation?
- Yes
- No
- Resume
- Cover Letter/Letter of Application
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