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4 results for Engineer in Willis, TX

Network Engineer (PM)

Houston, TX
onsite
Temporary / Contract
50 - 55 USD / Hourly
KEY RESPONSBILITIES<ul><li>Lead and support network infrastructure upgrades, with a strong focus on modernizing Aruba and Palo Alto environments (hardware refresh, configuration, migration)</li><li>Manage and support LAN/WAN/WLAN, firewalls, VPNs, and routing/switching across enterprise environments</li><li>Act as day-to-day service lead, coordinating with offshore teams to ensure incidents, changes, and requests meet SLAs </li><li>Troubleshoot complex network performance and connectivity issues across on-prem and hybrid environments </li><li>Support network security controls, including firewall rules, segmentation, and access management </li><li>Oversee network monitoring, incident response, and root cause analysis</li><li>Maintain network documentation, diagrams, and operational standards</li><li>Assist with cloud connectivity (Azure/AWS) and hybrid networking (VPNs, routing, firewall integration) </li></ul>
2026-05-29T00:00:00Z

Network Engineer/PM

Houston, TX
onsite
Temporary / Contract
45.125 - 52.25 USD / Hourly
We are looking for a Network Engineer/PM to support a major network modernization initiative for an O&G organization in Houston, Texas. This Long-term Contract opportunity is ideal for a hands-on networking specialist who can also coordinate workstreams, review project schedules, and help keep delivery efforts aligned with technical objectives. The role combines deep infrastructure expertise with project oversight, including collaboration with offshore teams and support for key deployment milestones throughout the engagement. Responsibilities:• Lead network engineering activities for a large-scale refresh initiative, ensuring technical work is completed in line with project goals and agreed timelines.• Coordinate day-to-day efforts with offshore resources, providing direction, tracking progress, and helping resolve delivery issues.• Evaluate project plans, schedules, and implementation approaches to confirm they are practical, accurate, and aligned with business needs.• Support the execution of network changes and cutover events, including occasional after-hours involvement when required and approved.• Configure, troubleshoot, and optimize Aruba networking environments, including wireless access points and switching infrastructure.• Administer and support Palo Alto firewall solutions to maintain secure, reliable network connectivity across the organization.• Work with routing technologies such as BGP to sustain stable communications between sites and critical network segments.• Partner with technical and project stakeholders to communicate status, identify risks, and help drive the refresh project through completion.• Contribute to deployment planning and, when needed, travel to support implementation activities while maintaining a standard work schedule.
2026-06-01T00:00:00Z

Data Engineer I

Houston, TX
remote
Temporary / Contract
39 - 44 USD / Hourly
Data Automation Engineer – Azure / AI / Data PlatformsClearance Requirement: ability to obtain Public Trust Position OverviewWe are seeking a highly motivated Data Automation Engineer to design and implement modern, AI‑driven data solutions within a Microsoft Azure-based analytics ecosystem. This role focuses on building scalable pipelines, automating workflows, and integrating advanced analytics and AI capabilities across enterprise data platforms.The ideal candidate brings strong experience in Azure data services, ETL pipeline development, and automation, along with a delivery-focused mindset and the ability to translate complex business requirements into technical solutions. This role supports mission-critical environments and requires eligibility for a Public Trust clearance. Key ResponsibilitiesData Engineering & Pipeline Development<ul><li>Design and implement data pipelines using Azure Data Factory, Synapse, Spark, SQL, and Python</li><li>Build and maintain ETL/ELT workflows across structured and unstructured data sources</li><li>Support data ingestion, transformation, and integration for enterprise analytics platforms</li></ul>Automation & AI Integration<ul><li>Develop automation solutions to improve efficiency, scalability, and reliability of data workflows</li><li>Research and implement AI/ML and Generative AI tools to enhance data processing and insights</li><li>Eliminate bottlenecks through intelligent automation and workflow optimization</li></ul>Data Quality, Governance & Performance<ul><li>Implement data quality, integrity, and metadata management practices</li><li>Monitor and troubleshoot pipelines to ensure high availability and performance</li><li>Perform performance testing, tuning (query optimization, indexing), and pipeline benchmarking</li></ul>Collaboration & Delivery<ul><li>Partner with engineering, DevOps, and business stakeholders to develop solutions</li><li>Participate in Agile/DevOps processes and continuous delivery cycles</li><li>Document pipeline performance, test results, and system improvements</li></ul>
2026-06-12T00:00:00Z

AI Network Engineer

Houston, TX
onsite
Temporary / Contract
60 - 70 USD / Hourly
Overview:We are seeking an experienced AI Network Engineer to support and optimize high-performance infrastructure powering AI/ML workloads. This role focuses on designing and maintaining GPU-accelerated environments leveraging NVIDIA technologies, high-throughput networking, and low-latency architectures. Key Responsibilities:<ul><li>Design, implement, and support high-performance networks for AI/ML workloads, including GPU clusters and distributed training environments</li><li>Deploy and optimize NVIDIA-based infrastructure (DGX systems, HGX platforms, or GPU clusters)</li><li>Configure and manage high-speed networking technologies such as InfiniBand, RoCE, and 100/200/400Gb Ethernet</li><li>Optimize network performance for east-west traffic, low latency, and large data throughput required for AI model training</li><li>Integrate NVIDIA software stack (CUDA, NCCL, GPU Cloud, AI Enterprise) with networking and compute environments</li><li>Troubleshoot performance bottlenecks across network, storage, and GPU interconnects</li><li>Collaborate with AI/ML engineers to ensure infrastructure meets training and inference demands</li><li>Support automation and infrastructure-as-code initiatives for scalable AI environments</li></ul>
2026-06-05T00:00:00Z