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10 results for Data Engineer in Dallas, TX

Data Engineer

Dallas, TX
onsite
Temporary to Hire
60 - 70 USD / Hourly
We are looking for a Data Engineer to join a mission-driven team, where you will design and support the data foundation behind clinical reporting, advanced analytics, and predictive healthcare solutions. This contract position offers the opportunity to build dependable, scalable data workflows that deliver information from healthcare platforms and other source systems to clinicians and business teams. The role is highly hands-on and centers on transforming complex healthcare data into trusted, well-structured assets that support operational and clinical decision-making. Responsibilities: • Design, develop, and maintain robust data pipelines that move information from healthcare platforms and related source systems into analytics and reporting environments. • Prepare, standardize, and validate data from claims, clinical records, and social determinants of health sources to ensure accuracy and usability. • Apply sound data modeling practices to organize information for warehousing, business intelligence, and advanced analytical use cases. • Build scalable processing solutions using tools such as Python, Apache Spark, Hadoop, and Kafka to support high-volume data operations. • Partner with analytics, clinical, and business stakeholders to deliver reliable datasets that power descriptive, predictive, and prescriptive insights. • Monitor pipeline performance, troubleshoot data issues, and improve the reliability and efficiency of end-to-end ETL processes. • Support the full lifecycle of data initiatives, from source integration and transformation through delivery for reporting and analytical applications.
2026-09-02T00:00:00Z

Data Engineer

Dallas, TX
onsite
Permanent / Full Time
145000 - 170000 USD / Yearly
We are looking for a Data Engineer to join our team in Texas. In this role, you will create and enhance modern cloud data platforms that power reporting, analytics, and intelligent business solutions. The position is ideal for a hands-on individual who excels at building scalable pipelines, improving data performance, and partnering with technical and business teams to deliver reliable data products. Responsibilities: • Create and maintain cloud-based data solutions on Azure using services such as Databricks, Synapse Analytics, Data Factory, and related platform tools. • Build resilient data pipelines and integration workflows that support enterprise analytics, reporting, and business intelligence across large and complex datasets. • Architect and implement lakehouse and warehouse environments, including layered data models that organize raw, refined, and business-ready data. • Develop reusable notebooks and processing frameworks with Python, PySpark, Spark, and Scala to support scalable engineering patterns. • Tune and troubleshoot data workloads to improve speed, stability, scalability, and overall cost efficiency in production environments. • Deliver end-to-end data solutions by handling design, development, testing, deployment, documentation, and ongoing operational support. • Apply source control, DevOps practices, and automated release processes to enable consistent and secure deployments. • Partner with stakeholders, engineers, and leadership to convert business needs into practical technical designs and data solutions. • Support AI and machine learning initiatives through data preparation, feature development, curated datasets, and platform capabilities for advanced analytics. • Investigate production issues, evaluate new technologies, and recommend improvements that strengthen reliability, efficiency, and business value.
2026-09-02T00:00:00Z

Financial Data Analyst

Dallas, TX
onsite
Temporary / Contract
55 - 68 USD / Hourly
We are looking for a Business Analytics/Data Analyst to join a long-term contract opportunity in Dallas, Texas within the energy and natural resources sector. This position will focus on preparing, organizing, and validating critical business data to support a large-scale enterprise implementation, while partnering with both business and technical teams to maintain accuracy and consistency. The ideal candidate brings strong analytical ability, hands-on data migration experience, and the communication skills needed to guide data-related activities from planning through execution. Responsibilities: • Examine legacy data sources to identify migration needs, data dependencies, and conversion priorities for the new enterprise platform. • Prepare data for migration by performing cleansing, standardization, mapping, and transformation activities to improve quality and usability. • Coordinate extraction, load, and reconciliation efforts to confirm that converted data is complete, accurate, and aligned with business expectations. • Work closely with stakeholders, IT teams, and external implementation partners to investigate discrepancies and resolve data-related issues efficiently. • Assist with test cycles, trial conversions, and cutover readiness activities to support a smooth transition into production. • Create and maintain clear documentation for migration logic, validation rules, workflows, and internal controls. • Monitor data quality throughout the project lifecycle and help uphold governance, integrity, and compliance standards. • Use analytical and reporting tools to evaluate migration results, identify trends, and provide actionable insights to project teams.
2026-08-28T00:00:00Z

Senior Analytics Engineer

Fort Worth, TX
onsite
Permanent / Full Time
115000 - 125000 USD / Yearly
We are looking for a Senior Analytics Engineer to lead and advance the organization’s data and analytics ecosystem in Fort Worth, Texas. This role will serve as the central technical expert for analytics, shaping scalable reporting, data modeling, and platform strategy while working closely with leadership on high-impact business decisions. The ideal candidate combines strong engineering depth with business insight and can independently drive modern analytics initiatives, including future-focused work in predictive modeling and machine learning. Responsibilities: • Lead the day-to-day ownership, support, and continuous improvement of the company’s analytics environment across reporting, modeling, and data delivery. • Design, develop, and refine interactive Power BI solutions that provide clear, reliable insights for operational and executive stakeholders. • Create and maintain robust semantic, relational, and dimensional data models that support consistent reporting and analytical accuracy. • Partner with senior leaders to translate business questions into actionable data products, metrics, and decision-support tools. • Expand the use of Microsoft Fabric, including lakehouse and Direct Lake capabilities, to strengthen scalability and performance across the analytics platform. • Drive initiatives related to predictive analytics and machine learning by identifying opportunities, developing analytical approaches, and supporting implementation. • Establish stronger standards for data governance, documentation, validation, testing, and monitoring to improve trust in analytics outputs. • Support evaluation and onboarding efforts for additional analytics talent, including offshore Power BI resources, while providing technical guidance to future team members. • Contribute to the definition of long-term analytics architecture, development practices, and platform standards that align with business growth. • Manage data integration workflows involving systems such as Salesforce and Fivetran to ensure dependable and timely access to business data.
2026-09-01T00:00:00Z

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

Systems Engineer

Plano, TX
onsite
Permanent / Full Time
115000 - 140000 USD / Yearly
We are looking for a skilled Systems Engineer to join our team in Plano, Texas. In this role, you will be responsible for managing and maintaining server infrastructure, ensuring system security, and supporting disaster recovery initiatives. The ideal candidate will collaborate with various IT teams and vendors to provide reliable and secure technology solutions in a dynamic and fast-paced environment. Responsibilities: • Provide daily support for servers and systems, including Active Directory, Citrix, Microsoft Exchange, file servers, and other applications. • Coordinate and oversee IT projects, ensuring proper documentation of changes made to server systems. • Manage vendor relationships and supervise outsourced services and projects. • Develop and implement disaster recovery processes and business continuity plans, participating actively in related exercises. • Collaborate with network, systems, and application teams to optimize server hardware, software, and applications. • Monitor and enforce security policies and procedures to maintain system integrity. • Perform preventive maintenance tasks, including upgrades, patch management, and firmware updates. • Support end users and IT staff with technical issues and system improvements. • Monitor and report on security performance metrics, addressing areas of non-compliance and recommending solutions. • Stay informed about changes in IT security regulations and advancements in security technologies.
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

Network Engineer

Dallas, TX
onsite
Temporary / Contract
60 - 65 USD / Hourly
We are seeking a Network Engineer to support and maintain enterprise network infrastructure across on-premises, cloud, and hybrid environments. This role focuses on Cisco networking technologies, Fortinet security solutions, and cloud networking while ensuring reliable connectivity, performance, and security for business operations. POSITION TITLE: NETWORK ENGINEERLOCATION: DALLAS, TX (HYBRID)RATE: $60-65/HOURDURATION: 6 MONTHS (POSSIBLE EXTENSION) RESPONSIBILITIES<ul><li>Design, implement, and support enterprise LAN, WAN, SD-WAN, wireless, and VPN solutions using Cisco networking technologies.</li><li>Configure, maintain, and troubleshoot Fortinet firewalls, security policies, routing, and network segmentation.</li><li>Manage cloud networking components within Azure, AWS, or Google Cloud environments, including virtual networks, connectivity, and network security controls.</li><li>Monitor network performance, identify issues, and perform proactive maintenance to ensure high availability and optimal performance.</li><li>Collaborate with infrastructure, cloud, and security teams on network upgrades, migrations, capacity planning, and incident resolution.</li></ul>
2026-09-02T00:00:00Z

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.
2026-08-31T00:00:00Z