We are looking for a Data Engineer to support scalable data solutions for a long-term contract opportunity in The Woodlands, Texas. This role focuses on designing and optimizing data pipelines, integrating large-scale data sources, and enabling reliable access to critical business information. The ideal candidate will bring strong hands-on experience with modern big data technologies and a practical approach to building efficient ETL workflows.<br><br>Responsibilities:<br>• Build, maintain, and enhance robust data pipelines to process large volumes of structured and unstructured information.<br>• Develop ETL workflows that transform raw data into reliable datasets for analytics, reporting, and operational use.<br>• Use Python and Apache Spark to engineer high-performance data processing solutions across distributed environments.<br>• Work with Apache Hadoop ecosystems to manage storage and support scalable data operations.<br>• Integrate streaming and event-driven data using Apache Kafka to improve data availability and timeliness.<br>• Monitor data workflows, troubleshoot processing issues, and implement improvements that increase reliability and efficiency.<br>• Collaborate with technical and business stakeholders to understand data needs and translate them into practical engineering solutions.<br>• Document pipeline architecture, data flow logic, and operational procedures to support maintainability and team knowledge sharing.
We are looking for a Data and Governance Manager to lead the administration, reliability, and oversight of core database and end-user technology environments in Houston, Texas. This position combines technical leadership with hands-on support across directory services, virtualization tools, desktop operations, and data platforms. The ideal candidate will strengthen system performance, guide governance practices, and ensure teams have dependable access to the technology they need to operate effectively.<br><br>Responsibilities:<br>• Oversee daily operations for database and infrastructure systems, ensuring stable performance, security, and availability across the environment.<br>• Manage directory services and user access controls, maintaining appropriate permissions and supporting identity-related administration.<br>• Support and optimize Citrix-based environments to provide reliable application and desktop access for internal users.<br>• Lead desktop administration activities, including device setup, configuration standards, lifecycle coordination, and issue resolution.<br>• Troubleshoot computer hardware and remote connectivity problems, delivering timely technical support to minimize business disruption.<br>• Administer and monitor Snowflake and related data platforms, helping maintain data integrity, accessibility, and governance standards.<br>• Develop and enforce technology governance practices, documenting procedures and promoting compliance with internal controls.<br>• Partner with cross-functional stakeholders to identify system improvements, address operational risks, and align technical solutions with business needs.
We are looking for an Artificial Intelligence (AI) Engineer to design and enhance intelligent solutions with a strong emphasis on computer vision and machine learning. This role focuses on building practical AI capabilities that support detection-driven applications while working collaboratively in a fully remote environment. The position is based in Houston, Texas, and is ideal for someone who combines technical depth with the ability to turn complex models into reliable business solutions.<br><br>Responsibilities:<br>• Design, develop, and refine AI models that support computer vision and detection-focused use cases.<br>• Build and optimize machine learning pipelines for training, validation, deployment, and performance monitoring.<br>• Apply TensorFlow to create scalable models that deliver accurate and efficient results in production environments.<br>• Partner with cross-functional stakeholders to translate business objectives into effective AI-driven solutions.<br>• Evaluate model behavior using appropriate metrics and improve outcomes through testing, tuning, and iteration.<br>• Prepare, clean, and structure image and related datasets to improve model quality and consistency.<br>• Contribute to the integration of AI capabilities with tools and workflows that may include Microsoft Copilot-enabled environments.<br>• Document technical approaches, model assumptions, and implementation details to support maintainability and knowledge sharing.