1) Serve as primary data engineer for a small unit (50+ staff with a 4-person data/IT team) with a high growth profile
2) Design and build standardized and secure ETL tools and APIs for critical data sets; these tools and APIs must work for users of R, Python, and Tableau; data sourced from OBIEE, public data APIs, Hadoop utilities, and other enterprise systems
3)Â Collaborate with central IT and business intelligence units to leverage institutional economies of scale
4)Â Work with analysts and end users to understand unit needs
5)Â Produce best practice documents for data extraction and use
6) Advance institutional mission by supporting data-driven and policy-compliant decision making
7)Â Evaluate SaaS licensing contracts
1) Proficiency in SQL
2)Â Exposure to big data environments, particularly Hadoop
3)Â Exposure to statistical languages, including either R or Python
5) Create robust, high-quality, and tested data pipeline
6) Background in understanding GDPR-compliant data storage practices
7) Background in higher education or public sector
8) Interest in small-team environments
9)Â Strong initiative and a resourceful approach to problem solving and strategic thinking
10) Strong interpersonal skills
1) Bachelorâ™s or masterâ™s degree in computer science, information systems, data science, analytics, economics, statistics, or a closely related field.
1) Five years of related experience
1)Â Â Resume
2)Â Â Cover letter
3)Â Â Reference Contact Information
NOTE:Â When applying, all required documents MUST be uploaded under the Resume/CV section of the application.
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Staff Job seekers in need of a reasonable accommodation to complete the application process should call 773-702-5800 or submit a request via the Applicant Inquiry Form.
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Internal Number: JR07004
About University of Chicago
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