<p><br></p><p>Software Platform Engineer will design, build, and maintain a core Data & Machine Learning platform.</p><p><br></p><p>Platform Development: Design and implement new features for our AWS and Databricks-based platform, staying current with industry trends and advancements in AI. Core Component Implementation: Test and integrate central platform components that support our technology stack and serve tenants across the organization. Collaboration: Partner with other engineering teams to identify and deliver platform enhancements that solve specific business problems. Maintain Excellence: Uphold strict security protocols, compliance controls, and architectural principles in all aspects of your work.</p><p><br></p><p><br></p>
We are looking for a skilled Data Engineer to design and implement robust technical solutions for enterprise applications. This role involves creating scalable and secure cloud-native systems on Azure, while collaborating closely with stakeholders to meet business requirements. The ideal candidate will possess strong expertise in data architecture and integration strategies, ensuring high engineering standards and seamless orchestration across systems.<br><br>Responsibilities:<br>• Design and maintain comprehensive technical architectures for enterprise applications, ensuring scalability and security.<br>• Develop integration strategies across multiple systems, including manufacturing, field service, and customer portals.<br>• Collaborate with the Principal Architect to define data contracts and establish effective integration patterns.<br>• Partner with teams in Product, AI/ML Engineering, and business units to translate requirements into functional solutions.<br>• Create reference implementations and frameworks to streamline development processes.<br>• Oversee system-level orchestration and elevate engineering standards across projects.<br>• Implement cloud-native solutions on Azure, leveraging modern tools and technologies.<br>• Provide technical guidance and mentorship to engineering teams, fostering best practices.<br>• Continuously monitor and improve system performance, addressing issues proactively.
We are looking for an experienced Lead Data Engineer to oversee the design, implementation, and management of advanced data infrastructure in Houston, Texas. This role requires expertise in architecting scalable solutions, optimizing data pipelines, and ensuring data quality to support analytics, machine learning, and real-time processing. The ideal candidate will have a deep understanding of Lakehouse architecture and Medallion design principles to deliver robust and governed data solutions.<br><br>Responsibilities:<br>• Develop and implement scalable data pipelines to ingest, process, and store large datasets using tools such as Apache Spark, Hadoop, and Kafka.<br>• Utilize cloud platforms like AWS or Azure to manage data storage and processing, leveraging services such as S3, Lambda, and Azure Data Lake.<br>• Design and operationalize data architecture following Medallion patterns to ensure data usability and quality across Bronze, Silver, and Gold layers.<br>• Build and optimize data models and storage solutions, including Databricks Lakehouses, to support analytical and operational needs.<br>• Automate data workflows using tools like Apache Airflow and Fivetran to streamline integration and improve efficiency.<br>• Lead initiatives to establish best practices in data management, facilitating knowledge sharing and collaboration across technical and business teams.<br>• Collaborate with data scientists to provide infrastructure and tools for complex analytical models, using programming languages like Python or R.<br>• Implement and enforce data governance policies, including encryption, masking, and access controls, within cloud environments.<br>• Monitor and troubleshoot data pipelines for performance issues, applying tuning techniques to enhance throughput and reliability.<br>• Stay updated with emerging technologies in data engineering and advocate for improvements to the organization's data systems.
We are looking for a highly skilled Network Engineer to join our team in Houston, Texas. In this role, you will act as a senior-level expert, overseeing the design, configuration, and management of enterprise network systems. You will play a crucial part in ensuring seamless operations, providing advanced support, and enhancing security across our organization's network infrastructure.<br><br>Responsibilities:<br>• Design, configure, and deploy network infrastructure including routers, switches, wireless systems, load balancers, and other network devices.<br>• Conduct thorough analysis of network issues and deliver high-level response management to resolve complex problems.<br>• Implement and maintain redundancy and high availability across enterprise connectivity to ensure uninterrupted operations.<br>• Lead efforts to secure network platforms by addressing vulnerabilities and managing patching cycles for hardware and software.<br>• Develop and enforce configuration standards while creating detailed support documentation.<br>• Perform failover testing and ensure changes to network configurations align with change management protocols.<br>• Collaborate with cross-functional teams and customers to develop solutions and troubleshoot network problems.<br>• Provide mentorship to entry level team members and act as the final escalation point for network-related issues.<br>• Manage procurement, implementation, and support of public and private circuits for remote and local networks.<br>• Utilize expert knowledge of firewalls, network segmentation, and monitoring tools to optimize network performance.
We are looking for a skilled Data Engineer to join our team in Houston, Texas. As part of the Manufacturing industry, you will play a pivotal role in developing and maintaining data infrastructure critical to our operations. This is a long-term contract position that offers the opportunity to work on innovative projects and collaborate with a dynamic team.<br><br>Responsibilities:<br>• Design and implement scalable data pipelines to support business operations and analytics.<br>• Develop, test, and maintain ETL processes for efficient data extraction, transformation, and loading.<br>• Utilize tools such as Apache Spark and Hadoop to manage and process large datasets.<br>• Integrate and optimize data streaming platforms like Apache Kafka.<br>• Collaborate with cross-functional teams to ensure data solutions align with organizational goals.<br>• Monitor and troubleshoot data systems to ensure optimal performance and reliability.<br>• Create and maintain documentation for data processes and systems.<br>• Stay updated on emerging technologies and recommend improvements to enhance data engineering practices.<br>• Ensure data security and compliance with industry standards and regulations.
<p>Position Overview</p><p>We are seeking a Data Governance & Data Quality Platform Engineer to own the technical administration, integration, and optimization of enterprise data governance and data quality platforms (e.g., Atlan, Monte Carlo). This role ensures governance and quality tools are scalable, securely integrated into the enterprise data ecosystem, and maintained for high availability and performance.</p><p>The ideal candidate brings strong platform engineering skills, experience automating data quality and metadata workflows, and a solid understanding of governance, compliance, and modern data architectures.</p><p>Key Responsibilities</p><p><br></p><p>1. Platform Engineering & Administration</p><ul><li>Configure and maintain data governance platforms for metadata management, data lineage, and governance workflows</li><li>Configure data quality tools for profiling, rule creation, and monitoring dashboards</li><li>Manage platform security, including user roles, authentication, SSO, RBAC, and access controls</li></ul><p>e2. Integration & Automation</p><ul><li>Develop and maintain integrations across data sources, databases, data lakes, and BI tools</li><li>Automate metadata ingestion and data quality checks using APIs, Python scripts, or ETL frameworks</li><li>Configure and maintain connectors for analytics and reporting platforms</li></ul><p> 3. Performance, Reliability & Monitoring</p><ul><li>Monitor platform health and optimize performance and scalability</li><li>Apply upgrades, patches, and troubleshoot technical issues</li><li>Implement logging, alerting, and proactive monitoring for governance and data quality environments</li></ul><p>a4. Technical Support & Issue Resolution</p><ul><li>Provide Tier 3 support for platform‑related incidents and escalations</li><li>Debug integration failures and resolve configuration conflicts</li><li>Collaborate with vendors for advanced troubleshooting and roadmap alignment</li></ul><p>r5. Security, Compliance & Risk Management</p><ul><li>Ensure platforms comply with data privacy and security standards (e.g., GDPR, CCPA)</li><li>Implement encryption, audit logging, and access controls</li><li>Support compliance reporting and risk assessments using governance and data quality metrics</li></ul>
We are looking for an entry-level Software Engineer to join our dynamic team in Spring, Texas. This role offers an exciting opportunity to contribute to the development and enhancement of cutting-edge software applications. You will work closely with a collaborative team to design, implement, and maintain innovative solutions.<br><br>Responsibilities:<br>• Develop and maintain software applications using C# and .NET frameworks.<br>• Collaborate with team members to design and implement user-friendly features using React.js and JavaScript.<br>• Troubleshoot and resolve software issues to ensure optimal functionality.<br>• Participate in code reviews to uphold high-quality standards.<br>• Assist in testing and debugging applications to ensure reliability and performance.<br>• Create and update technical documentation for software projects.<br>• Implement improvements to existing systems based on user feedback.<br>• Stay updated on emerging technologies and industry trends to continuously enhance skills.
<p>As our portfolio of AI-driven solutions continues to expand, we’re looking for an experienced <strong>Machine Learning Engineer</strong> 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 <strong>NLP</strong>, <strong>LLMs</strong>, and <strong>Generative AI</strong></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><p><br></p>
<p>We are seeking a talented and motivated Python Data Engineer to join our global team. In this role, you will be instrumental in expanding and optimizing our data assets to enhance analytical capabilities across the organization. You will collaborate closely with traders, analysts, researchers, and data scientists to gather requirements and deliver scalable data solutions that support critical business functions.</p><p><br></p><p>Responsibilities</p><ul><li>Develop modular and reusable Python components to connect external data sources with internal systems and databases.</li><li>Work directly with business stakeholders to translate analytical requirements into technical implementations.</li><li>Ensure the integrity and maintainability of the central Python codebase by adhering to existing design standards and best practices.</li><li>Maintain and improve the in-house Python ETL toolkit, contributing to the standardization and consolidation of data engineering workflows.</li><li>Partner with global team members to ensure efficient coordination and delivery.</li><li>Actively participate in internal Python development community and support ongoing business development initiatives with technical expertise.</li></ul>
<p>As the Software Engineer, you will be responsible for designing and developing automated solutions and system integrations to optimize our business operations. You will be a key player in gathering requirements from non-technical stakeholders, translating them into technical specifications, and ensuring that the delivered solutions meet their needs. You will be responsible for fostering and maintaining strong relationships with stakeholders, ensuring they have confidence in the technology solutions that support their business processes. Your advanced skills in solution design, AWS, and programming languages will be critical to delivering scalable, reliable, and impactful solutions. </p><p><br></p><p><br></p><p>Automation Development: Design, develop, and oversee the maintenance of automation scripts and tools to streamline and optimize business processes.</p><p>Cloud Integration: Architect and manage integrations between various systems and AWS services, ensuring seamless data flow and system interoperability.</p><p>Solution Design: Architect scalable and reliable integration solutions that align with business requirements and technical constraints.</p><p>Testing & Validation: Oversee and participate in the testing of automation and integration solutions to ensure functionality, reliability, and security.</p><p>Documentation: Maintain detailed documentation of automation processes, integration workflows, and system configurations.</p><p>Continuous Improvement: Lead efforts to identify opportunities for process improvements, proposing and implementing innovative automation solutions across the organization.</p><p>Support & Troubleshooting: Provide high-level support for existing automation and integration solutions, troubleshooting issues, and implementing fixes as necessary.</p><p><br></p><p><br></p><p><br></p>
<p><strong>Principal Data Scientist (AI/ML Focus)</strong></p><p><strong>Service Type:</strong> 42 Week Contract </p><p><strong>Worksite:</strong> Onsite, Monday–Thursday — Houston, TX</p><p><strong>Pay: </strong>Available on W2 </p><p><strong>Position Overview</strong></p><p>We are seeking a <strong>Principal Scientist, Data</strong> with deep expertise in <strong>AI, Machine Learning, Natural Language Processing (NLP), Computer Vision (CV), and Generative AI</strong>. This role requires a strong technical foundation, excellent communication skills, and the ability to translate complex methodologies into meaningful business outcomes.</p><p>The ideal candidate is proactive, innovative, and passionate about developing advanced AI-driven solutions using modern architectures including <strong>LLMs, deep learning models, multi-agent systems, and generative AI techniques</strong>.</p><p><strong>Requirements</strong></p><ul><li>Strong background in <strong>NLP, Computer Vision, and Generative AI</strong>.</li><li>Broad background in <strong>Artificial Intelligence</strong>.</li><li>Excellent verbal and written communication skills.</li></ul><p> <strong>Key Responsibilities</strong></p><ul><li>Develop, train, and optimize <strong>machine learning and deep learning models</strong>.</li><li>Build advanced AI solutions using <strong>LLMs, multi-agent systems, fine-tuning techniques, and inference optimization</strong>.</li><li>Transform complex data science methodologies into actionable insights.</li><li>Collaborate closely with stakeholders to develop high-value, data-driven solutions.</li><li>Create clear, compelling presentations, dashboards, and deliverables for non-technical audiences.</li><li>Drive full lifecycle AI/ML projects from ideation through deployment.</li></ul>
<p>Position Overview</p><p>We are seeking a highly skilled Data Scientist with deep expertise in Artificial Intelligence, Natural Language Processing (NLP), Computer Vision (CV), and Generative AI. This role is ideal for an innovative problem‑solver who thrives in a fast‑paced environment and is passionate about developing advanced AI/ML models that drive meaningful business value.</p><p>You will design, train, and deploy cutting‑edge AI models—including large language models (LLMs) and multi‑agent systems—turning complex data into scalable, high‑impact solutions.</p><p><br></p><p>Key Responsibilities</p><ul><li>Develop, train, and optimize machine learning and deep learning models</li><li>Build advanced AI solutions leveraging LLMs, multi‑agent systems, fine‑tuning methods, and inference optimization</li><li>Translate complex data science methodologies into clear, actionable insights for business stakeholders</li><li>Collaborate with cross‑functional teams to ensure AI solutions align with business needs</li><li>Create compelling presentations, dashboards, and data stories for non‑technical audiences</li><li>Contribute to innovation initiatives involving NLP, CV, Generative AI, and predictive analytics</li></ul>
We are looking for an experienced Network Architect to design and implement advanced infrastructure solutions tailored to meet organizational needs. This role requires expertise in system architecture, cloud-based platforms, and secure network operations to support business-critical applications. Join our team in The Woodlands, Texas, where you will help shape and optimize the backbone of our technology systems.<br><br>Responsibilities:<br>• Develop and implement robust network architectures that align with business objectives.<br>• Collaborate with stakeholders to identify and integrate solutions for identity and access management (IAM).<br>• Design and oversee API development processes to ensure seamless system interoperability.<br>• Lead efforts in configuring and managing Amazon EC2 instances for scalable cloud operations.<br>• Optimize application architecture to enhance performance and security across platforms.<br>• Provide technical guidance for Snowflake integration and ensure efficient data warehousing.<br>• Monitor and troubleshoot network performance to maintain high availability and reliability.<br>• Establish and enforce security protocols to safeguard critical systems and data.<br>• Conduct regular evaluations of infrastructure to identify areas for improvement.<br>• Document processes and provide training to ensure effective knowledge transfer.
<p><strong>Full Stack Python Developer</strong></p><p>We are looking for a talented <strong>Full Stack Python Developer</strong> to join our team in <strong>Houston, Texas</strong>. In this role, you will collaborate with technical and non-technical stakeholders to design and develop innovative applications that support global commercial and operational functions. This position offers an exciting opportunity to create impactful solutions that enhance decision-making and optimize processes.</p><p><br></p><p><strong>Key Responsibilities</strong></p><ul><li>Design, develop, and maintain full-stack applications using <strong>Python</strong>, <strong>React</strong>, and <strong>C#</strong>.</li><li>Rapidly prototype and iterate on solutions based on user feedback.</li><li>Analyze business requirements and manage project lifecycles independently.</li><li>Collaborate with cross-functional teams to identify opportunities for innovation.</li><li>Optimize and maintain relational databases such as <strong>PostgreSQL</strong> or <strong>Oracle</strong>.</li><li>Develop APIs and integrate existing tools and platforms to enhance system capabilities.</li><li>Stay current with advancements in Python, React, and related technologies.</li><li>Provide technical expertise and support to commercial teams.</li><li>Troubleshoot and resolve issues within existing applications.</li></ul><p><br></p><p><br></p>
We are looking for a skilled Data/AI Consultant to join our team in Houston, Texas, for an exciting Contract to permanent position. In this role, you will leverage AI technologies and expertise to enhance data management processes and provide strategic insights to support commodity training initiatives. If you thrive in environments requiring innovative solutions and enjoy building systems from the ground up, this position offers a unique chance to make a significant impact.<br><br>Responsibilities:<br>• Utilize AI technologies to develop solutions for commodity training and data analysis.<br>• Assess and strategize the best approach for cleaning, organizing, and structuring company data.<br>• Implement data management platforms and frameworks tailored to business needs.<br>• Build and maintain scalable data architecture using public Spark and cloud technologies.<br>• Collaborate with stakeholders to define and document business requirements.<br>• Apply advanced analytics and business intelligence tools to uncover actionable insights.<br>• Work within Agile Scrum methodologies to deliver projects efficiently.<br>• Manage master data using MDM technologies to ensure consistency and accuracy.<br>• Perform database administration tasks, including DB2 database management.<br>• Leverage AWS technologies for cloud-based data solutions.
We are looking for an experienced Programmer Analyst to join our team on a long-term contract basis in Houston, Texas. In this role, you will develop and implement enterprise-level applications, focusing on modern technologies and best practices. This is an excellent opportunity for a motivated and detail-oriented individual to work on innovative solutions within a collaborative environment.<br><br>Responsibilities:<br>• Design, develop, and maintain enterprise applications using Python and Dash frameworks.<br>• Build and enhance user interfaces with a focus on functionality and performance.<br>• Develop and optimize RESTful APIs to support application integration.<br>• Implement cloud solutions using AWS services such as Lambda, EC2, S3, SageMaker, and CloudFormation.<br>• Work with relational databases, including SQL Server, Snowflake, MySQL, and PostgreSQL.<br>• Apply DevOps practices utilizing tools like GitLab, CI/CD pipelines, Docker, and Kubernetes.<br>• Collaborate with cross-functional teams to deliver modern software solutions and ensure project success.<br>• Troubleshoot and resolve complex technical issues with analytical problem-solving skills.<br>• Lead development projects, ensuring timely delivery and alignment with business goals.<br>• Provide exceptional customer service and maintain a positive attitude in all interactions.
<p>Role Summary</p><p><br></p><p>We are seeking a Learning Technology & AI Solutions Consultant to serve as a strategic advisor and subject matter expert across learning technologies, analytics, and AI‑enabled learning solutions. This role owns the learning technology ecosystem and drives scalable, data‑informed, and innovative learning solutions that improve efficiency, effectiveness, and learner experience.</p><p>The ideal candidate blends deep learning‑technology expertise with practical experience applying AI responsibly to real business and learning challenges.</p><p><br></p><p><strong>Key Responsibilities</strong></p><p><br></p><p>Learning Technology Strategy & Governance</p><ul><li>Provide strategic oversight for learning technologies across LMS, LXP, LRS, and authoring tools</li><li>Evaluate platform performance, adoption, and data quality to drive continuous improvement</li><li>Establish standards, documentation, and enablement resources for enterprise learning tools</li><li>Identify, measure, and mitigate risks associated with learning technologies in alignment with compliance policies</li></ul><p>AI‑Enabled Learning Solutions</p><ul><li>Translate emerging AI capabilities into practical, ethical, value‑driven learning solutions</li><li>Establish guardrails for responsible AI use, including data privacy, bias mitigation, and explainability</li><li>Reduce manual effort and accelerate delivery through automation and AI enablement</li></ul><p>Vendor & Platform Management</p><ul><li>Evaluate, select, and manage learning technology vendors</li><li>Influence platform roadmaps to align with enterprise learning needs</li><li>Optimize learning platform ecosystems to support scalability and reliability</li></ul><p>Consulting & Enablement</p><ul><li>Act as a consultative partner to Learning Enablement, Sales Enablement, Leadership Development, and other stakeholders</li><li>Recommend appropriate technologies and AI approaches based on business needs—not trends</li><li>Build learning team capability in learning technology fluency, analytics literacy, and AI awareness</li></ul>
We are looking for an experienced Cloud Administrator to oversee and enhance our cloud and hybrid infrastructure, ensuring optimal performance, security, and scalability. This role requires proactive management of enterprise systems and a hands-on approach to Azure-based technologies. You will play a critical role in implementing best practices, collaborating with teams, and driving innovation within our IT operations.<br><br>Responsibilities:<br>• Design, implement, and maintain robust Azure-based infrastructure, including virtual machines, networking, storage, and identity management.<br>• Manage Azure Active Directory configurations, ensuring secure access and identity governance.<br>• Optimize cloud resources to achieve maximum performance, scalability, and cost efficiency.<br>• Implement and monitor security protocols across both cloud and on-premises environments.<br>• Ensure compliance with industry standards while managing firewalls, VPNs, and endpoint security solutions.<br>• Administer hybrid systems that integrate on-premises and Azure cloud infrastructures.<br>• Troubleshoot and resolve complex infrastructure issues while monitoring system performance.<br>• Develop and maintain automation scripts using tools such as PowerShell, Terraform, or Azure templates.<br>• Collaborate with DevOps teams to improve CI/CD pipelines and adopt cloud-native practices.<br>• Mentor less experienced team members, contribute to strategic IT planning, and support disaster recovery initiatives.
We are looking for a highly skilled Systems Administrator to oversee and enhance critical project cost systems for large-scale export initiatives. This position involves close collaboration with the Project Controls team to ensure optimal configuration, administration, and performance of EcoSys and associated applications. The ideal candidate will play a key role in maintaining system integrity, supporting end-users, and driving efficient project cost management.<br><br>Responsibilities:<br>• Configure and administer EcoSys modules, workflows, and settings within production and non-production environments.<br>• Manage user provisioning and permissions based on least-privilege principles, ensuring secure access aligned with contracts and funding structures.<br>• Convert business requirements into effective technical solutions and functional system enhancements.<br>• Monitor system performance, troubleshoot issues, and collaborate with vendors to resolve technical challenges.<br>• Implement system upgrades while adhering to established IT change management protocols.<br>• Develop and maintain custom reports, dashboards, and data visualizations to support business operations.<br>• Integrate EcoSys with other organizational platforms, maintaining smooth data flow and functionality.<br>• Support customized configurations within EcoSys to meet specific contract module requirements.<br>• Conduct advanced data analysis to assist project cost control teams and optimize system usage.<br>• Manage and update master data, including organizational structures, contract lines, and security groups.
