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Advancements Salesforce Marketing Cloud strategy, supporting audience segmentation, journey building, automation, A/B testing, AI-enabled tools, and campaign optimization. The ideal candidate is a collaborative
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, and operational use of institutional data. The role is focused on ETL/ELT development, data pipeline orchestration, cloud data infrastructure, relational and dimensional data modeling, data warehousing
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use of AI technologies. As part of the AI and Research Computing team, you will play a critical role in supporting and advancing enterprise AI services across the University. Ongoing AI Platform Support
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Lead Cloud Platform & Dev Ops Engineer - 40286 University Staff Description Join Our Team and Make a Difference in Higher Education! At the System Administration office at the University of Colorado
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ETL/ELT pipelines, optimizing SQL across MSSQL/PostgreSQL, integrating diverse data sources (APIs, relational, file‑based), leveraging cloud compute services (Azure Functions, AWS Lambda), and
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additional benefits through CU Advantage, we prioritize well-being and holistic development. Want to know your total compensation? Use our calculator to get the complete picture! Summary Reporting
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, reproducible pipelines, and advanced cloud infrastructure to tackle large-scale real-world data. Apply advanced statistical, computational, and emerging AI methods to evaluate specialty access, utilization
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the responsible use of AI technologies. As part of the AI and Research Computing team, you will play a critical role in designing, developing, supporting, and optimizing AI agents, workflows, and integrations
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guidance from the Instructional Design Program Manager and instructional design team. Assist with developing content that aligns with established learning outcomes and instructional design standards. Help
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cloud-based integration and messaging solutions within distributed computing environments. This position provides technical expertise across integration initiatives, translating complex business and