We are looking for an experienced Software Engineer to join a team in Houston, Texas, building and enhancing business-critical applications with a strong focus on Microsoft Dynamics 365 and modern web technologies. This role is well suited for someone who enjoys designing scalable solutions, working across application layers, and translating operational needs into reliable software. The ideal candidate brings deep hands-on development experience, strong problem-solving ability, and a solid foundation in software engineering principles.<br><br>Responsibilities:<br>• Design, build, and maintain software solutions using C#, .NET, and ASP.NET to support core business and field service operations.<br>• Develop and customize Microsoft Dynamics 365 capabilities to align platform functionality with operational and user requirements.<br>• Create and optimize SQL queries, data models, and backend processes to ensure strong application performance and data integrity.<br>• Build and support ETL workflows that move and transform data between systems for reporting, integration, and business processes.<br>• Collaborate with cross-functional stakeholders to gather technical requirements, define solution approaches, and deliver high-quality enhancements.<br>• Develop responsive user-facing features with JavaScript and React.js to improve usability and streamline business workflows.<br>• Troubleshoot application defects, identify root causes, and implement durable fixes across integrated systems.<br>• Contribute to software architecture, coding standards, testing practices, and continuous improvement efforts throughout the development lifecycle.
We are looking for a Software Engineer to join a long-term contract opportunity supporting a secure research data platform in Houston, Texas. In this role, you will help create and enhance web-based tools that allow researchers to work with large-scale learning and behavioral data while maintaining strong privacy protections. This position blends full-stack development, data-focused problem solving, and close collaboration with technical and academic stakeholders. The ideal candidate brings strong TypeScript-based engineering experience and enjoys building reliable products that support meaningful research outcomes.<br><br>Responsibilities:<br>• Build and enhance end-to-end platform capabilities across user-facing applications and backend services, with a strong focus on scalable full-stack delivery.<br>• Create responsive interfaces using modern JavaScript frameworks and develop server-side functionality that supports secure and efficient data workflows.<br>• Design and integrate data models that connect information from multiple research sources into a cohesive platform architecture.<br>• Contribute to cloud-based infrastructure and automated delivery processes to improve system reliability, performance, and release quality.<br>• Work closely with engineers, product leaders, data specialists, and research partners to translate complex needs into practical software solutions.<br>• Improve code quality through thoughtful system design, peer reviews, testing practices, and clear technical documentation.<br>• Support platform stability by identifying performance issues, troubleshooting technical problems, and helping optimize large application codebases.<br>• Provide guidance to less experienced team members and contribute to a collaborative, high-accountability engineering culture.
We are looking for a SCADA Engineer to lead the engineering, performance, and long-term reliability of real-time control systems that support distributed energy and microgrid operations in Houston, Texas. This position blends hands-on technical execution with system-level ownership, giving you the opportunity to shape scalable architectures, strengthen operational visibility, and support critical grid-connected assets. The ideal candidate brings deep experience with SCADA platforms, field integrations, and utility telemetry, along with the ability to guide standards and technical decisions across a growing fleet.<br><br>Responsibilities:<br>• Lead the design and ongoing improvement of SCADA architecture for distributed generation and microgrid assets, ensuring the environment can support expansion without sacrificing reliability.<br>• Manage the configuration, administration, and optimization of real-time operational systems in partnership with operations, IT, and engineering teams to improve system performance and data accessibility.<br>• Act as the senior technical resource for SCADA platforms and connected control environments, providing design direction, resolving escalated issues, and helping set engineering priorities.<br>• Define and maintain standards for telemetry mapping, tag hierarchy, alarm strategy, and data quality to promote consistency across sites and systems.<br>• Support around-the-clock control center operations by helping maintain stable system availability and responding to complex technical issues affecting monitoring or control functions.<br>• Direct utility and market integrations by designing secure data exchanges and telemetry frameworks that align with grid participation and compliance needs.<br>• Oversee the engineering and commissioning of new site connections, including review of control drawings, point structures, HMI layouts, historian configuration, and controller programming.<br>• Partner with infrastructure and operations teams to strengthen cybersecurity, harden system connectivity, and maintain readiness for high-impact grid events.<br>• Drive automation, tooling, database improvements, and governed deployment practices, including support for upgrades and technology changes within the SCADA environment.
We are looking for a Data Engineer to join our Data & Analytics team in Houston, Texas, and help strengthen the reporting foundation that supports decisions across the business. In this role, you will shape data into reliable, business-ready models, develop scalable reporting structures, and work closely with teams such as Finance and Operations to turn complex rules into clear insights. This position blends technical data engineering with analytics-focused development, offering the opportunity to improve reporting quality, maintain dependable data flows, and contribute to ongoing enhancements in our analytics environment.<br><br>Responsibilities:<br>• Develop and maintain structured data models, including staging layers, reporting tables, and dimensional designs within the Azure-based data warehouse environment.<br>• Create and support Power BI semantic models, calculated measures, security configurations, dashboards, and reports used for operational and enterprise reporting.<br>• Monitor scheduled data workflows and dataset refresh activity, investigate processing issues, and resolve failures to keep reporting available and accurate.<br>• Adjust and enhance existing ETL and orchestration processes as business needs evolve, using tools such as Azure Data Factory and related Microsoft data platforms.<br>• Collaborate with stakeholders across functions to translate reporting needs, financial logic, and operational rules into dependable analytical solutions.<br>• Produce clear technical and business documentation covering model design, metric definitions, transformation logic, and data ownership.<br>• Apply and help refine development standards for naming, modeling approach, query design, and reporting structure to improve consistency and quality.<br>• Identify opportunities to streamline current data practices, improve performance, and introduce effective tools or methods that strengthen analytics capabilities.
We are looking for a Software Engineer Team Lead to join a Texas-based organization in the credit services industry and play a key role in building and evolving business-critical applications. This contract-to-permanent opportunity is ideal for a senior technical leader who enjoys staying close to the code while guiding engineering direction, partnering with internal stakeholders, and supporting distributed teams. The position is primarily hands-on, with a strong emphasis on application architecture, modernization, and delivery across a Microsoft and Azure-focused environment.<br><br>Responsibilities:<br>• Lead technical design and contribute directly to development efforts, dedicating the majority of time to coding, solution architecture, and problem-solving.<br>• Build, enhance, and support web applications using C#, .NET, Angular, SQL Server, and Azure services such as App Services, Functions, monitoring, and messaging components.<br>• Drive modernization initiatives for existing systems while ensuring ongoing reliability, performance, and maintainability of current applications.<br>• Partner with engineering team members across regions to coordinate development efforts, share technical guidance, and maintain delivery quality.<br>• Work closely with business and technology stakeholders across the department to translate needs into scalable software solutions.<br>• Establish and improve CI/CD practices to strengthen release processes, development efficiency, and code quality.<br>• Incorporate AI-assisted development tools and emerging agent-based workflows into engineering practices to improve speed and output quality.<br>• Provide technical leadership through mentorship, design oversight, and hands-on support without focusing primarily on people management or task administration.
<p>As our portfolio of AI-driven solutions continues to expand, we’re looking for an experienced Machine Learning Engineer to join our high-impact data science team. This role offers the opportunity to work across trading, operations, and support functions—delivering production-grade machine learning systems that solve real business problems.</p><p>You’ll collaborate with data scientists, software engineers, and commercial stakeholders to design, build, and deploy models that drive decision-making and innovation. From project scoping to model deployment, you’ll have visibility and influence across the full ML lifecycle.</p><p>🔧 Core Responsibilities</p><ul><li>Act as a thought partner to commercial teams, identifying high-value opportunities for AI/ML applications</li><li>Lead the design, development, and deployment of machine learning systems, with a focus on NLP, LLMs, and Generative AI</li><li>Prioritize projects based on business impact and evolving market conditions</li><li>Collaborate with cross-functional teams to gather requirements and align solutions with strategic goals</li><li>Integrate ML solutions—including GenAI—into existing platforms to ensure seamless user experiences and scalable adoption</li><li>Participate in code reviews, experiment design, and tooling decisions to maintain high engineering standards</li><li>Share knowledge and mentor colleagues to build machine learning fluency across the organization</li></ul>