DATA ENGINEER / SENIOR DATA ENGINEER -- Gies Business

Information Technology Partners

Job Summary

Development and management of academic and administrative data
• Develop and manage college databases, data systems, and pipelines that support customer relationship management, student success and engagement, corporate and alumni engagement, instructional excellence, learning outcomes, accreditation, and other administrative data.
• Work collaboratively with IT Partners Data Strategy Management group to make actionable data available to college stakeholders
• Work collaboratively with college stakeholders involved in customer relationship management, learning outcomes, accreditation, and other administrative areas.

Data transformation and integration
• Develop and manage data pipelines for regular movement and transformation of data between systems
• Leverage system APIs to integrate data between college systems and platforms

Data standards and integrity
• Create and manage documentation of data systems and processes
• Regularly audit and ensure data integrity in college data delivery
• Develop and ensure compliance with data quality best practices including metadata curation and change control systems

Duties & Responsibilities - SENIOR DATA ENGINEER

Development and management of academic and administrative data
• Architect and lead development of complex data systems and pipelines that support customer relationship management, student success and engagement, corporate and alumni engagement, instructional excellence, learning outcomes, accreditation, and other administrative data.
•Define project technical data requirements and scope of work within IT Partners Data Strategy Management group to make actionable data available to college stakeholders
•Lead the team in client relations with college stakeholders involved in customer relationship management, learning outcomes, accreditation, and other administrative areas

Data transformation and integration
• Optimize data workflows for performance and scalability between systems
• Lead integration of data across platforms using advanced API and cloud technologies
• Triage data pipeline errors and identify potential solutions with the team

Data standards and integrity
• Maintain comprehensive documentation and metadata systems
• Establish and enforce data quality and governance standards

• High school diploma or equivalent.
• Two (2) years of work experience in IT‐related functions such as hardware/software support, programming, network design, network engineering, IT systems integration, or closely related field.
• College coursework which includes Information Technology (IT), IT Management, Programming, IT systems, or a closely related discipline may be substituted as follows:
30 semester hours equals one (1) year, Associate’s Degree (60 semester hours) equals eighteen (18) months, 90 semester hours equals two (2) years, Bachelor’s Degree (120 semester hours) equals three.
• Demonstrated experience in data pipelines, data management, data analytics, business intelligence, and/or data process management

• Bachelor’s or Master's degree in computer science or information/data science-related fields
• Experience in developing metadata and process documentation
• Experience with Git or similar versioning software
• Experience in data visualization
• Experience with data ingestion from third-party applications and APIs
• Experience with Tableau or Power BI
• Experience with Salesforce, Coursera, Canvas or similar platforms
• Experience with Azure Data Factory
• Experience with Microsoft SQL (or similar)
• Experience within the University of Illinois and understanding internal processes

Knowledge, Skills and Abilities - DATA ENGINEER

• Significant experience in SQL, Python, or similar
• Fluency with Git or similar
• Cloud computing experience
• Data Architecture best practices

Specialty Factors - SENIOR DATA ENGINEER

• High school diploma or equivalent.
• Six (6) years of work experience in IT‐related functions such as hardware/software support, programming, network design, network engineering, IT systems integration, or closely related field.
• College coursework which includes Information Technology (IT), IT Management, Programming, IT systems, or a closely related discipline may be substituted as follows:
30 semester hours equals one (1) year, Associate’s Degree (60 semester hours) equals eighteen (18) months, 90 semester hours equals two (2) years, Bachelor’s Degree (120 semester hours) equals three.
• Demonstrated experience in data pipelines, data management, data analytics, business intelligence, or data process management

Preferred Qualifications - SENIOR DATA ENGINEER

• Bachelor’s or Master's degree in computer science or information/data science-related fields
• Expertise in developing metadata
• Expertise with Git or similar versioning software
• Expertise in data visualization
• Expertise with data ingestion from third-party applications and APIs
• Microsoft Certifications in Data Engineering (or equivalent)
• Expertise with Microsoft SQL (or similar)
• Experience with .NET, PHP, or similar web data related technologies
• Experience with Tableau or Power BI
• Experience with Salesforce, Coursera, Canvas or similar platforms
• Experience within the University of Illinois and understanding internal processes

Knowledge, Skills and Abilities - SENIOR DATA ENGINEER

• Significant experience in SQL, Python, or similar
• Mastery of Git or similar
• Cloud computing certifications
• Strong experience with cloud-based database management (Azure preferred)
• Data Architecture best practices
• Data Governance and Data Management expertise

Appointment Information

This is a 100% full-time Civil Service 5031 - Information Technology Technical Associate position, appointed on a 12-month basis. The expected start date is as soon as possible after the search closes. Salary is competitive and commensurate with qualifications and experience, while also considering internal equity. The budgeted salary range for the position is $83,500 to $100,000 at the Data Engineer level and $100,000 to $120,000 at the Senior Data Engineer level. Sponsorship for work authorization is not available for this position.

For more information about Gies Business, visit https://inside.giesbusiness.illinois.edu/work-at-gies.

For more information on Civil Service classifications, please visit the SUCSS web site at https://www.sucss.illinois.gov/pages/classspec/default.aspx.

Application Procedures & Deadline Information

Applications must be received by 6:00 pm (Central Time) on December 12, 2025. Apply for this position using the Apply Now button at the top or bottom of this posting, and upload your cover letter, resume (months and years of employment must be included), and names/contact information for three professional references. Please remember to include specific information on how you meet the qualifications of the position in your resume, including all relevant experience. In order to be considered as a transfer candidate, you must apply for this position. Applications not submitted through https://jobs.illinois.edu will not be considered. If required by the position, transcripts or other documentation of credentials are to be provided no later than the first day of employment. For further information about this specific position, please contact rgoben@illinois.edu. For questions regarding the application process, please contact 217-333-2137.

This position is intended to be eligible for benefits. This includes Health, Dental, Vision, Life Insurance, a Retirement Plan, Paid time Off, and Tuition waivers for employees and dependents.

The University of Illinois System is an equal opportunity employer, including but not limited to disability and/or veteran status, and complies with all applicable state and federal employment mandates. Please visit Required Employment Notices and Posters to view our non-discrimination statement and find additional information about required background checks, sexual harassment/misconduct disclosures, and employment eligibility review through E-Verify.

Applicants with disabilities are encouraged to apply and may request a reasonable accommodation under the Americans with Disabilities Act (2008) to complete the application and/or interview process. Accommodations may also be requested on the basis of pregnancy, childbirth, and related conditions, or religion. Requests may be submitted through the reasonable accommodations portal, or by contacting the Accessibility & Accommodations Division of the Office for Access and Equity at 217-333-0885, or by emailing accessibility@illinois.edu.

Requisition ID: 1033396
Job Category: Technical
Apply at: https://jobs.illinois.edu