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 detail-oriented Business Analyst I to support service operations in Houston, Texas. This role focuses on analyzing business needs, improving customer service processes, and translating findings into clear documentation for stakeholders. The ideal candidate is comfortable working in Agile Scrum environments and can evaluate current workflows to identify opportunities for stronger performance and better alignment with business goals.<br><br>Responsibilities:<br>• Analyze operational workflows and business needs to identify process improvements and support informed decision-making.<br>• Gather, organize, and clarify requirements from stakeholders to ensure project objectives are accurately defined.<br>• Review business and customer service documentation for completeness, accuracy, and alignment with organizational standards.<br>• Partner with call center and service teams to understand pain points, evaluate current practices, and recommend practical solutions.<br>• Support Agile Scrum activities by contributing to backlog refinement, user story development, and cross-functional collaboration.<br>• Perform gap analysis to compare existing processes with desired outcomes and highlight areas needing change or enhancement.<br>• Track action items, document findings, and communicate updates to stakeholders throughout the project lifecycle.
We are looking for an Artificial Intelligence (AI) Engineer to join a fast-paced team and help shape intelligent, scalable solutions that support healthcare technology initiatives. This contract position with potential for a permanent role is ideal for someone who combines strong software and data engineering fundamentals with a genuine interest in applied AI, automation, and modern cloud platforms. In this role, you will contribute to building robust data products, intelligent workflows, and AI-enabled services that improve operational insight and decision-making across the healthcare lifecycle.<br><br>Responsibilities:<br>• Design and implement scalable data workflows and system integrations using Azure-based services to support enterprise healthcare applications.<br>• Partner with technical and business teams to uncover opportunities where AI-driven automation can streamline processes and improve outcomes.<br>• Build and enhance autonomous or semi-autonomous agent capabilities that interact with data platforms, observe system behavior, and surface actionable insights.<br>• Develop and maintain cloud-based analytics and data warehousing solutions using tools such as Azure Synapse, Data Lake, and Power BI.<br>• Apply machine learning and AI methods to strengthen data processing, classification, detection, and operational decision support.<br>• Ensure engineering solutions align with security, compliance, and deployment standards required for regulated healthcare environments.<br>• Contribute to API development, platform reliability, and performance optimization across data and application ecosystems.<br>• Participate in Agile team activities, share technical recommendations, and help advance engineering best practices through continuous improvement.
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.