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6 results for Data Engineer in Coppell, 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.
2026-08-21T00:00:00Z

Data Analytics Engineer (DBT / Snowflake)

Arlington, TX
onsite
Permanent / Full Time
0 - 0 USD / Yearly
Robert Half is partnering with a growing organization seeking a Senior Data & Analytics Engineer to support enterprise reporting, analytics, and data transformation initiatives.This individual will partner closely with technical and business stakeholders to develop scalable data solutions, improve data accessibility, and support strategic decision-making across multiple business functions. Responsibilities<ul><li>Design and develop scalable data solutions supporting reporting and analytics initiatives</li><li>Build and maintain data transformation workflows</li><li>Develop logical and physical data models</li><li>Support enterprise reporting and self-service analytics capabilities</li><li>Collaborate with cross-functional teams to define and deliver data requirements</li><li>Improve data quality, governance, and consistency across platforms</li><li>Participate in development best practices, testing, and code management processes</li><li>Support ongoing data modernization efforts</li></ul>
2026-08-12T00:00:00Z

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.
2026-08-06T00:00:00Z

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.
2026-07-30T00:00:00Z

Cybersecurity Engineer

Fort Worth, TX
onsite
Temporary / Contract
60 - 70 USD / Hourly
This opportunity is with a growing organization in the energy industry that is investing heavily in its cybersecurity capabilities. The team is seeking an experienced Cybersecurity Engineer to help strengthen security operations, protect enterprise systems and cloud environments, and support ongoing security modernization initiatives. POSITION TITLE: Cybersecurity EngineerLOCATION: Midland, TX (Onsite 5 Days per Week) - RELOCATION PROVIDEDSALARY: $120,000 - $150,000 Base + Bonus + Long-Term Incentives RESPONSIBILITIES<ul><li>Manage and enhance Identity and Access Management (IAM) solutions, including SSO, MFA, RBAC, Conditional Access, and Privileged Access Management.</li><li>Lead cybersecurity incident response activities, including threat detection, containment, remediation, recovery efforts, and post-incident analysis.</li><li>Administer and improve vulnerability management processes through security scanning, risk prioritization, remediation tracking, and collaboration with infrastructure teams.</li><li>Deploy, maintain, and optimize EDR/XDR, SIEM, and other security monitoring technologies to identify and respond to security threats.</li><li>Design and implement enterprise security controls, security policies, cloud security solutions, firewalls, DLP technologies, and intrusion prevention capabilities.</li></ul>
2026-08-11T00:00:00Z

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.
2026-08-21T00:00:00Z