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6 results for Data Engineer in Fort Worth, TX

Data Engineer

Coppell, TX
onsite
Temporary / Contract
45 - 50 USD / Hourly
OverviewWe are seeking an experienced Data Engineer to join a growing data team supporting enterprise analytics, reporting, and data science initiatives. This role will focus on supporting and enhancing existing data pipelines while contributing to new development efforts within a modern data environment. The ideal candidate will have strong experience with Databricks, SQL, and Python, along with the ability to partner directly with business stakeholders and translate business requirements into scalable technical solutions. POSITION: DATA ENGINEERLOCATION: DALLAS, TX ONSITEDURATION: 6-MONTH CONTRACT-TO-HIRE RESPONSIBILITIES<ul><li>Develop, support, and enhance ETL and data pipeline solutions.</li><li>Design and build data transformations across Bronze, Silver, and Gold data layers within a Medallion Architecture environment.</li><li>Write, optimize, and troubleshoot complex SQL queries to support reporting, analytics, and operational business needs.</li><li>Develop and maintain data processing solutions using Python and PySpark within Databricks.</li><li>Partner directly with business stakeholders to gather requirements and translate business needs into technical solutions.</li><li>Monitor, troubleshoot, and resolve data pipeline issues while performing root cause analysis.</li><li>Design and maintain data warehouse and database models that support reporting, analytics, and data science initiatives.</li><li>Deliver trusted and certified datasets that power dashboards, self-service analytics, and business reporting.</li><li>Apply best practices related to data quality, testing, monitoring, performance optimization, documentation, and maintainability.</li><li>Collaborate with data engineers, analysts, data scientists, and business teams on strategic initiatives and ongoing support efforts.</li></ul>
2026-09-10T00:00:00Z

Data Engineer

Coppell, TX
onsite
Temporary to Hire
47.5 - 52 USD / Hourly
We are looking for a Data Engineer to join a growing team and contribute to the delivery of reliable, analytics-ready data solutions. This contract opportunity with potential for a permanent role is ideal for someone who enjoys building scalable data pipelines, improving data models, and partnering with technical and business stakeholders to support reporting, self-service analytics, and data science. The role offers the chance to work hands-on with Databricks, Python, PySpark, SQL, and modern data engineering practices in a collaborative environment focused on quality and performance. Responsibilities: • Build, maintain, and enhance data pipelines that support dependable data availability for analytics and reporting needs. • Collaborate with data engineering leaders to troubleshoot defects, resolve pipeline issues, and improve overall platform stability. • Develop transformation logic using Python, PySpark, SQL, and Databricks to prepare clean, usable datasets for downstream consumers. • Design and refine data models that improve usability, consistency, and performance across reporting and analytical workloads. • Apply layered data architecture principles, including Bronze, Silver, and Gold structures, to organize and manage data effectively. • Establish and follow engineering standards for validation, testing, monitoring, and documentation to strengthen data quality and maintainability. • Optimize processing and query performance to support efficient data delivery at scale. • Work with business and technical partners to translate data needs into practical engineering solutions that support trusted insights.
2026-09-11T00:00:00Z

Systems Engineer

Fort Worth, TX
onsite
Permanent / Full Time
90000 - 100000 USD / Yearly
We are looking for an experienced Systems Engineer to join a dynamic energy organization in Fort Worth, Texas. This position supports a predominantly on-premises infrastructure that underpins essential corporate and field operations, requiring a well-rounded, detail-oriented individual who can navigate networking, systems administration, security, and user support. The ideal candidate brings a hands-on approach, strong technical judgment, and the ability to work effectively with a wide range of stakeholders in a fast-paced environment. Responsibilities: • Manage and resolve issues across Cisco-based network environments, including routing, switching, configuration updates, and failover-related events. • Oversee core Microsoft infrastructure services such as Active Directory, Group Policy, Entra ID, and Intune, ensuring reliable access and system performance. • Administer firewall rules, user access permissions, and infrastructure security settings while supporting policy adjustments and related controls. • Collaborate with office staff and field teams to troubleshoot connectivity, application, and platform issues that impact day-to-day operations. • Maintain and support primarily on-premises systems that serve critical business applications used in energy and field-based environments. • Contribute to vulnerability response efforts, compliance-related activities, access reviews, and formal change management practices. • Provide broad technical coverage across infrastructure domains to strengthen overall team support and continuity. • Work across networking, systems, security, enterprise applications, and end-user support in a versatile engineering capacity.
2026-09-01T00:00:00Z

Network Engineer

Irving, TX
onsite
Permanent / Full Time
110000 - 120000 USD / Yearly
We are looking for an experienced Network Engineer to support and enhance a large-scale enterprise network environment in Irving, Texas. This role focuses on designing resilient infrastructure, resolving advanced connectivity issues, and shaping technical standards that strengthen performance and reliability across multiple locations. The ideal candidate brings deep hands-on expertise in routing, switching, firewalls, wireless technologies, and cloud-connected networks, along with the ability to turn business needs into practical engineering solutions. Responsibilities: • Design, deploy, and maintain enterprise network solutions that improve stability, scalability, and overall service performance across distributed sites. • Investigate complex network incidents, identify root causes, and implement corrective actions to restore and strengthen operations. • Create technical designs, architecture documentation, and standardized procedures to support consistent network implementation and governance. • Assess new networking tools and platforms through testing, validation, and pilot activities before broader adoption. • Administer and optimize core technologies including routing, switching, wireless, firewalls, and software-defined networking components. • Establish and maintain configuration backup, change tracking, and version control practices for network devices and related systems. • Work closely with infrastructure, security, and application teams to deliver integrated solutions aligned with operational and business objectives. • Manage vendor and service provider relationships, including coordination for equipment, support services, and third-party technical engagements. • Contribute to infrastructure modernization efforts and support network integration activities tied to business expansion or organizational change.
2026-08-26T00:00:00Z

AI Engineer

Coppell, TX
onsite
Temporary / Contract
70 - 75 USD / Hourly
Seeking an AI Engineer to design, implement, and optimize AI-powered solutions that improve business processes, knowledge management, and operational efficiency. This role will work closely with technical and business teams to develop generative AI applications, build retrieval-based solutions, establish AI best practices, and ensure secure and compliant use of AI technologies. POSITION TITLE: AI EngineerLOCATION: Coppell, TX (Onsite 5 days)DURATION: 6-12 MonthsSALARY: $65-70/hour RESPONSIBILITIES<ul><li>Design, develop, and optimize AI-powered applications and workflows using Large Language Models (LLMs) and generative AI technologies.</li><li>Build and maintain prompt libraries, prompt evaluation frameworks, and best practices to improve AI accuracy, consistency, and user adoption.</li><li>Develop Retrieval-Augmented Generation (RAG) solutions that connect AI platforms to enterprise systems, databases, and document repositories.</li><li>Partner with business stakeholders to identify use cases and implement AI solutions that drive process improvements and operational efficiencies.</li><li>Establish AI governance, security controls, testing procedures, and compliance standards for production deployments.</li></ul>
2026-09-01T00:00:00Z

Computer Vision - AI Engineer

Coppell, TX
onsite
Temporary / Contract
57.4655 - 66.539 USD / Hourly
We are looking for a Computer Vision - AI Engineer 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: •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.
2026-09-03T00:00:00Z