<p>Robert Half is looking for a Network Engineer with heavy load balancing experience to work 100% onsite in Fort Worth, TX.</p><p> </p><p><strong>POSITION: NETWORK ENGINEER</strong></p><p><strong>LOCATION: FORT WORTH</strong></p><p><strong>DURATION: PERMANENT PLACEMENT</strong></p><p><strong>RATE: $110-125K DEPENDING ON EXPERIENCE</strong></p><p><br></p><p><strong><u>RESPONSIBILITIES</u></strong></p><ul><li>Experience with Cisco iOS/Nexus OS and Fortinet</li><li>Design and implement network infrastructure (LAN, WAN, WLAN, VPN).</li><li>Monitor, analyze, and enhance network performance and reliability.</li><li>Collaborate with internal teams to gather and define network requirements.</li><li>Support the rollout of new technologies and assist with capacity planning.</li><li>Maintain accurate network documentation and stay informed on industry developments.</li><li>Troubleshoot and support store connectivity issues.</li><li>Work cross-functionally to ensure smooth integration of network systems.</li></ul>
<p>A growing financial services and retail-focused organization is seeking a Senior Network Engineer to support and enhance enterprise network infrastructure across multiple locations. This role is responsible for designing, implementing, securing, and optimizing complex network environments that support critical business operations.</p><p><br></p><p><strong>POSITION TITLE:</strong> Senior Network Engineer</p><p><strong>LOCATION:</strong> Fort Worth, TX</p><p><strong>SALARY:</strong> $120,000 - $130,000 (DOE)</p><p><br></p><p><strong>RESPONSIBILITIES</strong></p><ul><li>Design, deploy, and maintain enterprise network infrastructure, including LAN, WAN, WLAN, and VPN environments.</li><li>Monitor network performance, troubleshoot connectivity issues, and implement improvements to maximize reliability and uptime.</li><li>Partner with internal stakeholders to gather business requirements and develop scalable networking solutions.</li><li>Support network expansion initiatives, technology upgrades, and capacity planning efforts across multiple locations.</li><li>Configure and administer network security solutions while ensuring compliance with industry and organizational standards.</li><li>Maintain network documentation, diagrams, and operational procedures.</li><li>Collaborate with cross-functional IT teams to integrate network services and support business-critical applications.</li></ul><p><br></p>
<p>An established organization is seeking a Cybersecurity Engineer to strengthen the security posture of enterprise systems and infrastructure. This role will focus on threat detection, vulnerability management, incident response, and security architecture initiatives.</p><p><strong> </strong></p><p><strong>POSITION TITLE:</strong> Cybersecurity Engineer</p><p><strong>LOCATION:</strong> Dallas-Fort Worth, TX (Hybrid)</p><p><strong>SALARY:</strong> $115,000 - $155,000</p><p><strong> </strong></p><p><strong>RESPONSIBILITIES</strong></p><ul><li>Implement and maintain security controls across servers, endpoints, cloud environments, and networks.</li><li>Investigate security alerts and support incident response activities.</li><li>Perform vulnerability assessments and coordinate remediation efforts.</li><li>Support security monitoring through SIEM and endpoint detection platforms.</li><li>Assist with security architecture reviews and compliance initiatives.</li></ul><p><strong> </strong></p>
We are looking for a Data Engineer to join a confidential enterprise organization in McKinney, Texas and help advance a large-scale cloud data environment. This contract opportunity with potential for a permanent role focuses on building and refining a modern lakehouse platform in Azure, with a strong emphasis on Azure Databricks and scalable data engineering practices. The role will work across technical and business teams to create dependable, secure, and high-performing data solutions that support analytics and decision-making.<br><br>Responsibilities:<br>• Create and maintain robust data pipelines in Azure Databricks using Spark-based engineering approaches to support large-volume processing needs.<br>• Build ingestion frameworks that bring data from APIs, event streaming platforms, cloud storage, and enterprise systems into structured lakehouse layers.<br>• Apply lakehouse design standards across bronze, silver, and gold environments to improve data usability, consistency, and downstream reporting value.<br>• Enhance platform efficiency by tuning Spark workloads, refining storage strategies, and improving processing performance and cost management.<br>• Connect Databricks solutions with Azure services such as Data Factory, Synapse, Data Lake Storage, Event Hub, Key Vault, and Azure DevOps.<br>• Establish secure data access patterns through governance controls, identity-based access, and protection measures such as masking and policy alignment.<br>• Partner with architects, analysts, data scientists, and business stakeholders to deliver trusted datasets, metrics, and KPI-ready data assets.<br>• Strengthen data reliability by implementing validation checks, monitoring, lineage tracking, alerting, and recovery processes for critical workflows.<br>• Contribute technical leadership through code reviews, engineering guidance, and mentoring support for other members of the data team.
<p>We are looking for a Data Engineer to help strengthen financial decision-making by building reliable data and automation capabilities that support planning and analysis. This position works closely with finance leaders and business partners to turn strategic goals into scalable data solutions, improving visibility, speed, and confidence in reporting. </p><p><br></p><p>Responsibilities:</p><p>• Design and maintain data pipelines that convert financial and operational information into trusted, analysis-ready datasets for planning and reporting.</p><p>• Create scalable data models and structured finance data assets within the broader enterprise ecosystem to support consistent, governed analytics.</p><p>• Develop automation solutions using tools such as Python, Excel, and workflow platforms to streamline recurring finance processes and increase team capacity.</p><p>• Build near real-time data transformation processes that improve the timeliness and accuracy of performance visibility for stakeholders.</p><p>• Apply AI-enabled techniques such as anomaly detection, forecasting support, and variance analysis to enhance financial insight generation.</p><p>• Deliver self-service analytics tools and reporting frameworks that allow business users to explore key metrics and make informed decisions independently.</p><p>• Establish documentation, data standards, and governance practices that improve maintainability, quality, and long-term adoption of solutions.</p><p>• Monitor and support automated jobs and bot-driven processes, including troubleshooting, performance oversight, and control management.</p><p>• Translate complex data findings into clear, executive-level outputs that help guide business strategy and financial priorities</p>