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Field
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the organization for advanced analytics, automation, and AI/ML adoption, without holding full enterprise-wide ownership reserved for the Principal Data Engineer. Responsibilities Leads Design and Optimization
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opportunity to make an impact and do good across the planet), an exclusive Incentive Pay Program is offered, as available, to qualifying UTISO employees. You will help design, build, and securely operate CI/CD
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, the center’s internal cloud-based biomedical data platform. The candidate will be performing their activities within an interdisciplinary team of research scientists, data engineers and other full-stack
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California State University, Northridge | Northridge, California | United States | about 21 hours ago
. Experience working in an enterprise-scale data network (e.g., corporation or university), including management of the Network Engineering staff, and Experience managing a hybrid-cloud network infrastructure is
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. Demonstrated knowledge of software technologies, including software development processes, cloud computing, artificial intelligence/machine learning, data analytics, cybersecurity, mobile applications
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container-based deployment solutions (Docker, Kubernetes); modern database and data analytics technologies (Postgres, MySQL, NoSQL, Elasticsearch, Spark, Hadoop, etc.); and High performance/cloud computing
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borderless computing community providing knowledge at its fingertips by enhancing the use of effective applications and services for teaching and learning. We drive a culture that is forward-looking. With a
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, workstations, HPC clusters, and cloud environments. We are hiring a Scientific Platform Engineer to help lead the modernization, security, reliability, and engineering evolution of this platform. This is a
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(AI) technologies and systems. We currently lead a community-wide movement to mature the discipline of AI Engineering for Defense and National Security. As our government customers adopt AI and machine
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like Snowflake, Redshift, or BigQuery. Configures cloud-based storage and compute environments (AWS, Azure, GCP). Implements schema design, indexing, and partitioning strategies. Ensures high