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3 results for Network Engineer in Phoenix, AZ
- Glendale, AZ
- onsite
- Temporary / Contract
- 40 - 50 USD / Hourly
- <p>Robert Half is seeking Network Technicians to support client data center environments with installation, troubleshooting, cabling, and network infrastructure support.</p><p>Responsibilities</p><ul><li>Install and troubleshoot switches, routers, and network equipment</li><li>Perform copper and fiber patching</li><li>Troubleshoot network connectivity issues</li><li>Perform port checks, cable testing, and physical layer troubleshooting</li><li>Replace failed network hardware and components</li><li>Assist network engineers with deployments and infrastructure changes</li><li>Document cabling, equipment, and network changes</li><li>Respond to tickets and service requests</li></ul><p><br></p>
- 2026-10-01T00:00:00Z
- Glendale, AZ
- onsite
- Temporary / Contract
- 45 - 55 USD / Hourly
- <p>Robert Half is seeking experienced Data Center Engineers to support clients with infrastructure operations, troubleshooting, deployments, and ongoing data center reliability.</p><p>Responsibilities</p><ul><li>Support servers, storage, networking, and data center infrastructure</li><li>Troubleshoot complex hardware and infrastructure issues</li><li>Coordinate server and network deployments</li><li>Support capacity planning, hardware refreshes, and infrastructure upgrades</li><li>Develop and maintain technical documentation</li><li>Participate in incident response and root-cause analysis</li><li>Coordinate with network, systems, cloud, security, and facilities teams</li><li>Support change management and production maintenance activities</li></ul><p><br></p>
- 2026-10-01T00:00:00Z
- Glendale, AZ
- onsite
- Temporary / Contract
- 60 - 70 USD / Hourly
- <p><strong>Robert Half is working with a client who is looking to hire a Data Engineer</strong> to support a growing enterprise data and analytics initiative. This individual will help build and modernize the data pipelines, integrations, and cloud-based data infrastructure used across the organization.</p><p>The ideal candidate has experience working with large datasets, modern cloud data platforms, and production-grade ETL/ELT pipelines. This role will work closely with Data Architects, Analytics Engineers, BI teams, and business stakeholders as the organization expands its enterprise data capabilities.</p><p>Responsibilities</p><ul><li>Design, build, and maintain scalable ETL/ELT data pipelines.</li><li>Integrate structured and unstructured data from multiple enterprise systems.</li><li>Develop and optimize data models used for analytics and reporting.</li><li>Build solutions within cloud data environments such as Azure, AWS, or GCP.</li><li>Monitor data pipelines for performance, reliability, and data quality.</li><li>Partner with analysts, architects, and application teams to understand data requirements.</li><li>Support the migration of legacy data workloads to modern cloud platforms.</li><li>Develop reusable frameworks and automation for data processing.</li></ul><p><br></p>
- 2026-10-06T00:00:00Z