We are looking for an experienced Senior Data Engineer to help design and enhance scalable data platforms that support critical business operations in Houston, Texas. This role is ideal for someone who enjoys building reliable pipelines, improving data accessibility, and working with modern big data technologies in a service-focused environment. The successful candidate will play a key role in shaping data architecture, enabling analytics, and maintaining high standards for performance, quality, and governance.<br><br>Responsibilities:<br>• Design, build, and optimize large-scale data pipelines that collect, transform, and deliver data from multiple sources.<br>• Develop robust ETL workflows using Python and Spark to support reporting, analytics, and operational data needs.<br>• Implement and maintain data solutions across distributed processing environments, including Hadoop and Azure Databricks.<br>• Create streaming and batch data integrations using Kafka and related technologies to ensure timely and dependable data movement.<br>• Collaborate with analysts, engineers, and business stakeholders to translate requirements into scalable technical solutions.<br>• Monitor pipeline performance, troubleshoot data issues, and apply improvements that increase reliability and efficiency.<br>• Establish data quality controls, validation processes, and documentation to support governance and long-term maintainability.<br>• Contribute to platform enhancements and technical initiatives, including changes to data infrastructure or internal processing frameworks when needed.
We are looking for a strategic product leader to guide the development and expansion of an enterprise AI and automation capability in Houston, Texas. This role will shape the roadmap for agentic AI solutions, align stakeholders across business and technology teams, and turn promising concepts into scalable services with clear operational value. The ideal candidate brings strong product management discipline, a practical understanding of AI technologies, and the ability to balance innovation with governance, quality, and responsible deployment.<br><br>Responsibilities:<br>• Drive the vision, roadmap, and service strategy for enterprise agentic AI and automation offerings across the organization.<br>• Partner with executive stakeholders, technical architects, security leaders, data governance teams, and delivery groups to uncover priority opportunities and define business value.<br>• Evaluate, rank, and manage a portfolio of AI agent and automation initiatives based on feasibility, impact, risk, and strategic alignment.<br>• Lead product efforts from discovery through launch, ensuring pilots are translated into production-ready solutions with measurable outcomes.<br>• Establish operating standards for solution design, validation, release management, monitoring, and ongoing support to enable consistent delivery at scale.<br>• Promote responsible AI practices by embedding compliance, trust, security, and governance considerations into product planning and execution.<br>• Facilitate agile product management processes, including backlog refinement, prioritization, and cross-functional coordination to keep initiatives moving effectively.<br>• Track performance indicators and adoption metrics to continuously improve product offerings and demonstrate business results.