<p>We are seeking a hands-on IT Field Infrastructure Technician to support the deployment, maintenance, and ongoing operation of technology infrastructure across multiple locations. This role is responsible for installing and configuring network equipment, setting up end-user devices, supporting site openings, and providing on-site technical support.</p><p>The ideal candidate enjoys working in the field, troubleshooting hardware and network issues, and collaborating with both technical and non-technical stakeholders to ensure reliable technology operations.</p><p><br></p><p>Key Responsibilities: </p><p><strong>Infrastructure Deployment</strong></p><ul><li>Install and configure firewalls, switches, wireless access points, and network-connected devices</li><li>Coordinate ISP circuit activations and configure basic network services (VLANs, DHCP, DNS)</li><li>Deploy laptops, printers, VoIP phones, displays, and backup power systems</li><li>Validate infrastructure readiness prior to site go-live</li></ul><p><strong>Field Support</strong></p><ul><li>Travel to locations to troubleshoot network, hardware, and connectivity issues</li><li>Replace and reconfigure equipment as needed</li><li>Support hardware refreshes and technology lifecycle initiatives</li><li>Maintain accurate network and asset documentation</li></ul><p><strong>IT Support</strong></p><ul><li>Provision, image, and deploy endpoint devices</li><li>Support Microsoft 365 workstation setup and user onboarding</li><li>Collaborate with internal and outsourced support teams on escalations</li><li>Assist with asset management and inventory tracking</li></ul>
<p>Lead Data Engineer</p><p>Salary: Up to $160,000 Location:</p><p>On-Site | South Los Angeles Area</p><p>Employment Type: Full-Time</p><p><br></p><p>Build the Foundation for Enterprise Analytics</p><p><br></p><p>We are seeking a Lead Data Engineer to drive the architecture, modernization, and expansion of a growing enterprise data platform built within the Microsoft Azure ecosystem. This is a highly visible technical leadership role where you'll help shape the future of data across multiple business functions by building scalable, secure, and high-performing data solutions.</p><p><br></p><p>If you're passionate about Databricks, cloud data platforms, and mentoring engineering teams while remaining hands-on with development, this is an opportunity to make a significant impact.</p><p><br></p><p>What You'll Do</p><ul><li>Lead the design, implementation, and optimization of an enterprise Azure Databricks Lakehouse environment utilizing Bronze, Silver, and Gold data layers.</li><li>Architect and execute migrations from SQL Server and legacy platforms into modern cloud-native data solutions.</li><li>Develop and optimize large-scale ETL/ELT pipelines supporting operational reporting, business intelligence, advanced analytics, and data science initiatives.</li><li>Integrate data from multiple enterprise systems, APIs, operational platforms, and third-party sources.</li><li>Establish best practices for data engineering, data modeling, testing, CI/CD, monitoring, governance, and production support.</li><li>Implement and maintain data governance frameworks, security controls, lineage tracking, and access management.</li><li>Lead code reviews, technical design discussions, and engineering standards across the data team.</li><li>Mentor and support data engineers while fostering a culture of technical excellence.</li><li>Partner closely with business stakeholders, analysts, and data scientists to deliver trusted, scalable data products.</li></ul><p>For immediate consideration, apply now and direct message Reid Gormly on LINKEDIN</p>