We are looking for a Software Development Project Manager to lead technology initiatives for a services environment in Houston, Texas. This contract opportunity with potential for a permanent role is suited for someone who can coordinate cross-functional engineering efforts, keep delivery plans on track, and maintain strong oversight of quality, budget, and team resources. The ideal candidate brings a structured approach to project execution and can translate business priorities into organized, measurable development outcomes.<br><br>Responsibilities:<br>• Build and manage project roadmaps that align timelines, milestones, and delivery goals for software development initiatives.<br>• Coordinate resource planning across technical teams to ensure the right skills and capacity are assigned to each phase of work.<br>• Oversee project execution within financial system-related initiatives, tracking progress, risks, and budget considerations.<br>• Partner with engineering stakeholders to define priorities, resolve blockers, and maintain momentum throughout the development lifecycle.<br>• Establish quality control practices that support reliable releases, consistent standards, and successful project outcomes.<br>• Monitor project health through regular status updates, issue management, and clear communication with leadership and stakeholders.<br>• Facilitate collaboration between business and technical teams to clarify requirements and support effective decision-making.<br>• Identify delivery risks early and implement mitigation strategies to protect scope, schedule, and overall project success.
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.