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.
<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 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 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>
<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>
<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>
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.
<p>We are seeking a Data Governance & Data Quality Platform Engineer responsible for the technical administration, integration, and optimization of enterprise data governance and data quality tools such as Atlan and DQ Labs / Monte Carlo. This role ensures these platforms are scalable, secure, integrated across enterprise data ecosystems, and maintained for high availability and performance. The position also supports automation, data quality monitoring, and compliance reporting initiatives across the organization.</p><p><br></p><p>Key Responsibilities</p><p><br></p><p>1. Platform Engineering & Administration</p><ul><li>Configure and maintain Atlan for metadata management, lineage tracking, and governance workflows</li><li>Configure DQ Labs / data quality tools for data profiling, rule creation, and monitoring dashboards</li><li>Manage user roles, authentication, SSO, RBAC, and security settings across governance platforms</li></ul><p>2. Integration & Automation</p><ul><li>Develop and maintain integrations between 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 connectors for enterprise data and analytics platforms</li></ul><p>3. Performance, Scalability & Reliability</p><ul><li>Monitor system health and optimize performance across governance and data quality environments</li><li>Apply patches, updates, and troubleshoot technical issues as needed</li><li>Implement logging, alerting, and proactive monitoring across the platform ecosystem</li></ul><p>4. Technical Support & Issue Resolution</p><ul><li>Provide Tier 3 support for platform‑related issues</li><li>Debug integration failures and resolve configuration conflicts</li><li>Collaborate with vendors for advanced troubleshooting, feature requests, and roadmap alignment</li></ul><p>5. Security & Compliance</p><ul><li>Ensure platforms comply with security and data privacy standards (e.g., GDPR, CCPA)</li><li>Implement encryption, access controls, and audit logging</li><li>Support compliance reporting and risk assessments using platform governance features and data quality metrics</li></ul>
Job description: Serve as an escalation point with responsibility for servers, networks, security, and cloud platforms. · Install, configure, and maintain Windows servers, Active Directory, DNS, DHCP, GPOs, and file/print services. · Manage end user support for Microsoft 365 (Exchange Online, SharePoint, Teams, Intune, OneDrive) and Azure Active Directory environments. · Monitor system performance, network connectivity, and security compliance using tools such as Fortinet, Bitdefender, and other compliance related applications. · Research, evaluate, and recommend IT infrastructure solutions to meet business requirements. · Implement infrastructure upgrades, including patching, backups, and resource optimization. · Deploy and maintain services in Windows, virtualized, and containerized environments (VMware, Hyper-V). · Provide incident resolution, problem determination, and root-cause analysis. · Support disaster recovery planning, testing, and execution. · Document processes, maintain technical knowledge base, and coach entry level IT staff. · Complete small projects, infrastructure deployments, and system migrations according to deadlines. · Maintain SSL certificates, domain registrations, and system security standards
We are looking for an experienced Cloud Developer to join our team in Houston, Texas. In this long-term contract position, you will play a pivotal role in designing, implementing, and optimizing cloud-based solutions tailored to the energy and natural resources industry. This role offers an exciting opportunity to work on cutting-edge AI technologies and contribute to the development of innovative solutions.<br><br>Responsibilities:<br>• Design and deploy scalable cloud solutions using AWS and Azure services.<br>• Develop and integrate AI-powered applications to enhance operational efficiency.<br>• Implement automation tools, such as Ansible, to streamline processes and improve system performance.<br>• Optimize cloud infrastructure through advanced techniques like auto-scaling and resource allocation.<br>• Collaborate with cross-functional teams to align AI strategies with business goals.<br>• Create and maintain pipelines for data processing and machine learning workflows using Azure ML and Azure Pipelines.<br>• Conduct process modeling and mapping to identify opportunities for AI integration.<br>• Deploy and manage AI models on cloud platforms, ensuring reliability and scalability.<br>• Monitor and troubleshoot cloud environments to ensure optimal performance.<br>• Stay updated with emerging cloud technologies and AI advancements to drive innovation.
<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>Prior Roles</strong></p><ul><li>Previously held a role responsible for design and implementation of IT systems crossing multiple operational contexts (e.g. infrastructure + applications; applications + network; cloud + on premises)</li><li>Prior experience as a Solutions Architect, Solutions Engineer, or in a “hands-on” systems design role in a pre-sales or “Customer Success” role strongly preferred</li></ul><p><strong> </strong></p><p><strong>Technical Experience and Knowledge</strong></p><ul><li>Recent hands-on design, deployment, and/or administration experience in Windows Server and Linux systems administration</li><li>Working familiarity with Unix variants and Mac OS; prior administration experience a plus</li><li>Working familiarity with Microsoft Azure and other IaaS providers preferred</li><li>Strong enterprise networking design, deployment, and/or administration experience</li><li>Working familiarity with enterprise-class vendors and product lines strongly preferred (e.g. Cisco, Cisco Meraki, HPE/Aruba, Juniper, Extreme, Brocade)</li><li>Working familiarity with enterprise-class network security appliance vendors and product lines strongly preferred (e.g. Cisco, Cisco Meraki, Palo Alto, Fortinet)</li><li>Working familiarity with SMB/”prosumer” vendors and product lines a plus (e.g. Ubiquiti/UBNT, SonicWall, Mikrotik) a plus</li><li>Working familiarity with load balancers, VPN appliances/concentrators a plus</li><li>In depth understanding of current enterprise design patterns and norms for basic networking capabilities/concepts (e.g. TCP/IP, DNS, DHCP, VLAN segmentation, routing and switching, wireless)</li><li>Strong familiarity with SMB and entry-level on premises computing infrastructure technologies</li><li>Working familiarity with multiple server hardware vendors and associated management tools/platforms (e.g. Dell, HPE, Cisco, SuperMicro) strongly preferred</li><li>Working familiarity with hypervisor platforms (e.g. VMware vSphere/ESXi, Microsoft Hyper-V, Nutanix AHV, or others) strongly preferred</li><li>Strong familiarity with enterprise storage</li><li>Working familiarity with DAS, SAN, and NAS/filer solutions</li><li>Working understanding of contemporary network storage protocols and interconnect methods (e.g. iSCSI, CIFS, FibreChannel, NFS)</li><li>Strong familiarity with basic on premises infrastructure management best practices</li><li>Rack management</li><li>Power and cooling demand management</li><li>Strong familiarity with scripting for administrative, auditing, and other operational purposes</li><li>Prior experience writing PowerShell, Python, BASH/other Linux shell scripts strongly preferred </li><li>Prior experience with typical infrastructure and server/endpoint management toolsets</li><li>Performance and capacity management tools</li><li>Endpoint management / RMM platforms</li><li>Patch and vulnerability management tools</li><li>Prior experience with capacity planning, VM/server “right-sizing”, performance analysis</li><li>Prior experience and ownership designing server, network, application solutions through deployment phase</li><li>Prior experience administrating Office 365 services</li><li>Prior experience administrating Microsoft Exchange, Google G Suite/Workspace is a plus</li></ul><p><br></p>
<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 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.
We are looking for a skilled Programmer Analyst to join our team in Houston, Texas. In this role, you will leverage your expertise in programming and application development to design and implement solutions that meet organizational needs. This is a Contract to long-term opportunity within the energy and natural resources sector, offering the potential for ongoing growth.<br><br>Responsibilities:<br>• Develop and maintain software applications using .NET technologies, including C# and ASP.NET.<br>• Collaborate with cross-functional teams to design, test, and deploy technical solutions.<br>• Utilize Microsoft SQL Server to manage databases and ensure data integrity.<br>• Implement and customize ServiceNow ITSM modules to align with business processes.<br>• Conduct troubleshooting and resolve technical issues within ServiceNow applications.<br>• Create and modify workflows and scripts on the ServiceNow platform.<br>• Provide technical support and training to end-users on ServiceNow functionalities.<br>• Analyze system requirements and translate them into scalable application designs.<br>• Document processes and maintain clear records of software development activities.<br>• Monitor application performance and optimize systems as needed.
We are looking for a skilled Programmer Analyst to join our team in Houston, Texas. In this Contract-to-permanent position, you will play a critical role in designing, developing, and maintaining software applications. This role offers an exciting opportunity to work with advanced technologies and contribute to impactful projects.<br><br>Responsibilities:<br>• Design and develop software applications using .NET technologies to meet business needs.<br>• Write and maintain clean, efficient, and well-documented code in C#.<br>• Create and manage web applications using ASP.NET frameworks.<br>• Perform database design, development, and optimization tasks using Microsoft SQL Server.<br>• Troubleshoot and debug applications to ensure optimal performance and reliability.<br>• Collaborate with cross-functional teams to gather requirements and implement solutions.<br>• Conduct testing and quality assurance to ensure software functionality and security.<br>• Provide technical support and resolve issues related to software applications.<br>• Participate in code reviews to ensure adherence to best practices and coding standards.
