Data Warehouse Professional
Listed on 2026-01-11
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IT/Tech
Data Analyst, Data Engineer
Posting Details
Posting Number: S14564P
Working Title: Data Warehouse Professional I
Department: EITS-Institutional Research
About the University of Georgia: Chartered by the state of Georgia in 1785, the University of Georgia is the birthplace of public higher education in America and is the state's flagship university. UGA is currently ranked among the top 20 public universities in U.S. News & World Report. The University’s main campus is located in Athens, approximately 65 miles northeast of Atlanta, with extended campuses in Atlanta, Griffin, Gwinnett, and Tifton.
UGA employs approximately 3,100 faculty and more than 7,700 full-time staff. The University’s enrollment exceeds 41,000 students including over 31,000 undergraduates and over 10,000 graduate and professional students. Academic programs reside in 19 schools and colleges, including the School of Medicine.
About the College/Unit/Department:
College/Unit/Department website: oir.uga.edu
Posting Type: External
Retirement Plan: TRS or ORP
Employment Type: Employee
Benefits Eligibility: Benefits Eligible
Full/Part time: Full Time
Work Schedule: 8am - 5pm, Monday - Friday. This position is not eligible for a remote schedule.
Advertised Salary: Up to 70,000;
Commensurate with Experience
Posting Date: 01/06/2026
Open until filled: Yes
Closing Date:
Proposed Starting Date: 02/23/2026
Special Instructions to Applicants: Please provide name and contact information for three professional references. This position is not eligible for work authorization sponsorship.
Location of Vacancy: Athens Area
EEO Policy Statement: The University of Georgia is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to age, color, disability, genetic information, national origin, race, religion, sex, veteran status or other protected status. Persons needing accommodations or assistance with the accessibility of materials related to this search are encouraged to contact Central HR (hrweb).
USG Core Values Statement: The University System of Georgia is comprised of 26 institutions of higher education and the System Office. Our USG Statement of Core Values are Integrity, Excellence, Accountability, and Respect. More details on the USG Core Values and Code of Conduct are available in USG Board Policy 8.2.18.1.2 at https://(Use the "Apply for this Job" box below). Additionally, USG supports Freedom of Expression as stated in Board Policy 6.5 Freedom of Expression and Academic Freedom at https://.
PositionInformation
Classification Title: Data Warehouse Pro I
FLSA: Exempt
FTE: 1.00
Minimum Qualifications: Bachelor s degree in a related field or equivalent
Preferred Qualifications:
- Experience in a Higher Education environment.
- Experience with SSIS or Azure Data Factory.
- Experience with Python/Pyspark.
- Experience with API data extraction.
- Experience with Power BI.
- Experience with Excel Pivot Tables and/or OLAP cubes.
Position Summary: The Office of Institutional Research at the University of Georgia is seeking a skilled and motivated Data Warehouse Professional to join our team. This role is responsible for designing, developing, and maintaining our data infrastructure, including data warehouse, data lakes, and other storage solutions that support reporting and operational data needs across the institution. The successful candidate will collaborate with other data warehouse team members, DBAs, business analysts, and other stakeholders to ensure efficient, secure, and effective data management practices that deliver high value to the university.
Knowledge,Skills, Abilities and/or Competencies
- Understanding of data warehousing and lakehouse concepts (bronze, silver, gold layers).
- Experience with traditional relational database systems (SQL Server, Oracle) and lakehouse environments like Microsoft Fabric or Databricks.
- Proficiency with SQL (T-SQL, Spark SQL) for data transformation, modeling and optimization.
- Experience developing ETL/ELT pipelines using SSIS, Azure Data Factory or Microsoft Fabric Data Factory.
- Skilled in Python or PySpark and creating notebooks for data processing and…
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