Engineer Jobs in Fort Worth, TX

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Network Engineer

Fort Worth, TX
onsite
Temporary to Hire
0 - 0 USD / Yearly
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. POSITION TITLE: Senior Network EngineerLOCATION: Fort Worth, TXSALARY: $120,000 - $130,000 (DOE) RESPONSIBILITIES<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>
2026-10-27T00:00:00Z

Data Engineer

Arlington, TX
onsite
Permanent / Full Time
120000 - 150000 USD / Yearly
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. Responsibilities:• Design and maintain data pipelines that convert financial and operational information into trusted, analysis-ready datasets for planning and reporting.• Create scalable data models and structured finance data assets within the broader enterprise ecosystem to support consistent, governed analytics.• Develop automation solutions using tools such as Python, Excel, and workflow platforms to streamline recurring finance processes and increase team capacity.• Build near real-time data transformation processes that improve the timeliness and accuracy of performance visibility for stakeholders.• Apply AI-enabled techniques such as anomaly detection, forecasting support, and variance analysis to enhance financial insight generation.• Deliver self-service analytics tools and reporting frameworks that allow business users to explore key metrics and make informed decisions independently.• Establish documentation, data standards, and governance practices that improve maintainability, quality, and long-term adoption of solutions.• Monitor and support automated jobs and bot-driven processes, including troubleshooting, performance oversight, and control management.• Translate complex data findings into clear, executive-level outputs that help guide business strategy and financial priorities
2026-10-17T00:00:00Z

MLOps Engineer II (GPU Compute)

Coppell, TX
onsite
Temporary / Contract
75 - 80 USD / Hourly
We are looking for a MLOps Engineer II w/ a focus on GPU Compute to join a team in Coppell, Texas, on a Long-term Contract assignment. In this role, you will design and refine vision-based AI solutions that support real-world image and video use cases, while partnering with cross-functional teams to move ideas from research into production. The position is ideal for someone who combines strong machine learning expertise with practical understanding of hardware constraints and model performance in live environments. Responsibilities:•Deploy GPUs (Graphics Processing Units) workflows in a retail environment that requires processing massive amounts of image, video, customer, and transaction data.•Design, build, and enhance computer vision and machine learning models for use cases involving object detection, image segmentation, classification, and video-based analysis.•Compare modeling approaches, assess trade-offs across accuracy, speed, and scalability, and recommend fit-for-purpose solutions aligned with business goals.•Train and adapt deep learning models using frameworks such as PyTorch or TensorFlow, applying techniques like transfer learning and optimization for efficient performance.•Establish evaluation methods, track key performance measures, investigate error patterns, and iterate on models to improve reliability and response time.•Incorporate practical considerations related to cameras, sensors, lighting conditions, and edge hardware when developing and tuning solutions.•Create and support data preparation, annotation, and validation workflows that enable consistent experimentation and dependable deployment.•Work closely with software, hardware, and MLOps partners to transition models from proof of concept into production-ready applications.•Contribute to deployment readiness by helping optimize models for inference and operational use in resource-constrained environments.
2026-10-27T00:00:00Z

3 results for Engineer in Fort Worth, TX