We are seeking a skilled Infrastructure Engineer to join our team in Houston, Texas, on a long-term contract. In this role, you will be responsible for managing and maintaining essential IT infrastructure, including servers, networks, cloud platforms, and security systems. Your expertise will be crucial in ensuring the reliability, scalability, and security of our organization's technology environment.<br><br>Responsibilities:<br>• Serve as an escalation point for server, network, cloud, and security-related issues.<br>• Install, configure, and manage Windows servers, Active Directory, Group Policy Objects (GPOs), and file/print services.<br>• Provide end-user support for Microsoft 365 applications, including Exchange Online, SharePoint, Teams, Intune, and OneDrive.<br>• Monitor system performance, network connectivity, and compliance using tools such as Fortinet and Bitdefender.<br>• Research and recommend IT infrastructure solutions that align with business needs.<br>• Implement upgrades and optimizations for systems, including patch management and backups.<br>• Deploy and maintain services in virtualized and containerized environments using VMware and Hyper-V.<br>• Troubleshoot and resolve incidents, and perform root-cause analysis to prevent recurrence.<br>• Contribute to disaster recovery planning and execution, ensuring minimal downtime during critical situations.<br>• Document processes, update technical knowledge bases, and provide guidance to entry-level IT staff to build team expertise.
<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 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 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.
We are looking for a skilled Business Intelligence (BI) Engineer to join our team in Houston, Texas, on a long-term contract basis. In this role, you will be responsible for designing, implementing, and optimizing BI solutions that support business decision-making processes. This is an exciting opportunity to collaborate with cross-functional teams and leverage cutting-edge technologies to deliver impactful insights.<br><br>Responsibilities:<br>• Develop and maintain BI solutions using technologies such as BusinessObjects, Cognos, and DAX.<br>• Collaborate with business users to gather and analyze requirements, translating them into actionable insights.<br>• Create and manage dashboards, reports, and visualizations to support organizational analytics needs.<br>• Work with APIs, including Maps API, to integrate data sources and enhance reporting capabilities.<br>• Optimize data pipelines and workflows using Informatica to ensure accuracy and efficiency.<br>• Design comprehensive Business Requirement Documents (BRDs) that outline project objectives and deliverables.<br>• Perform data analysis to identify trends, patterns, and opportunities for business improvement.<br>• Ensure data security and compliance across all BI processes and solutions.<br>• Provide ongoing technical support and training to business users.<br>• Stay updated on emerging BI technologies and recommend their integration into existing systems.
We are looking for a skilled Data Engineer to join our team in Houston, Texas. This Contract to permanent position offers an exciting opportunity to work at the intersection of data engineering, analytics, and business strategy. If you have a strong background in building and optimizing data pipelines and are passionate about leveraging technology to drive insights, we encourage you to apply.<br><br>Responsibilities:<br>• Design, develop, and optimize scalable data pipelines and workflows to support business analytics.<br>• Collaborate with cross-functional teams to gather and analyze data requirements.<br>• Implement ETL processes to extract, transform, and load data from diverse sources.<br>• Utilize tools such as Apache Spark and Hadoop to manage large-scale data processing.<br>• Integrate streaming data systems using Apache Kafka to enhance real-time analytics.<br>• Monitor and troubleshoot data flow and systems to ensure high performance and reliability.<br>• Develop and maintain documentation for data engineering processes and systems.<br>• Ensure data security and integrity across all platforms and processes.<br>• Work closely with stakeholders to translate business needs into technical solutions.<br>• Stay updated with industry trends and emerging technologies to improve data engineering practices.
We are looking for an experienced Data Engineer to join our team on a long-term contract basis. Based in Houston, Texas, this role offers an exciting opportunity to work with cutting-edge data technologies, design scalable solutions, and contribute to data-driven decision-making processes. If you are passionate about optimizing data systems and driving innovation, we encourage you to apply.<br><br>Responsibilities:<br>• Develop, maintain, and optimize scalable data pipelines using Apache Spark and Python.<br>• Implement ETL processes to ensure seamless extraction, transformation, and loading of data across systems.<br>• Collaborate with cross-functional teams to integrate Apache Hadoop and Apache Kafka into the data architecture.<br>• Monitor and troubleshoot data systems to ensure reliability and performance.<br>• Design and maintain data models, ensuring alignment with business requirements.<br>• Conduct thorough testing and validation of data processes to guarantee accuracy.<br>• Document data workflows and processes for future reference and team collaboration.<br>• Provide technical guidance and support to team members on data engineering best practices.<br>• Stay current on emerging technologies and trends in big data and analytics.<br>• Contribute to improving data governance and security protocols.
<p>We are seeking a skilled Data Engineer to design, build, and maintain scalable data pipelines and analytics solutions that support enterprise reporting and advanced dashboards. This role will work with cross‑cloud data sources, including SAP, GCP, and BigQuery, and partner closely with analytics and business teams to deliver high‑quality, analytics‑ready datasets powering BI and AI initiatives.</p><p><br></p><p>Key Responsibilities</p><ul><li>Design, build, and maintain data pipelines following <strong>Medallion Architecture (Bronze, Silver, Gold)</strong> best practices.</li><li>Develop and support ETL processes pulling data from <strong>SAP, Google Cloud Platform (GCP), and BigQuery</strong>.</li><li>Ensure high data quality, reliability, and performance across ingestion and transformation layers.</li><li>Support analytics and visualization teams by delivering clean, well‑modeled datasets for:</li><li><strong>Power BI dashboards using DAX</strong></li><li><strong>Google Looker dashboards using LookML</strong></li><li>Collaborate with stakeholders to understand data requirements and translate them into scalable data models.</li><li>Maintain documentation on data sources, transformations, and architecture.</li><li>Support AI and API‑driven initiatives, including planned usage of <strong>Google ADK for API integrations</strong></li></ul><p><br></p><p><br></p>
We are looking for a skilled Data Engineer to join our team in Houston, Texas. In this Contract to permanent position, you will play a key role in designing, developing, and optimizing data solutions while collaborating with cross-functional teams to deliver impactful results. This role offers an excellent opportunity to contribute to innovative projects and mentor other developers.<br><br>Responsibilities:<br>• Design and implement scalable data solutions using tools such as Apache Spark, Hadoop, and Kafka.<br>• Build and maintain efficient ETL processes to ensure seamless data transformation and integration.<br>• Collaborate with product owners, business analysts, and stakeholders to gather requirements and translate them into technical solutions.<br>• Optimize and troubleshoot complex data workflows to enhance performance and reliability.<br>• Lead technical discussions and provide architectural guidance for best practices and development standards.<br>• Mentor entry level developers and conduct code reviews to ensure high-quality deliverables.<br>• Integrate data solutions with existing systems and third-party tools using APIs and cloud platforms.<br>• Stay updated with the latest data engineering technologies and proactively recommend improvements.<br>• Work within Agile/Scrum teams to deliver solutions aligned with user stories and project goals.<br>• Ensure compliance with security and quality standards through thorough documentation and testing.
We are looking for a highly skilled Data Engineer to join our team in Houston, Texas. This Contract to permanent position offers an exciting opportunity to work on cutting-edge data solutions and collaborate with cross-functional teams to deliver impactful results. The ideal candidate will possess strong technical expertise and a passion for creating efficient and scalable data systems.<br><br>Responsibilities:<br>• Design and implement scalable data architectures to support business needs and analytics requirements.<br>• Develop and optimize ETL pipelines for data extraction, transformation, and loading across diverse data sources.<br>• Collaborate with stakeholders to gather requirements and translate them into technical solutions.<br>• Utilize tools such as Apache Spark, Hadoop, and Kafka to manage large-scale data processing and real-time streaming.<br>• Ensure data quality and security by implementing best practices and conducting thorough testing.<br>• Develop and maintain technical documentation related to system design, development processes, and operational workflows.<br>• Work with Agile teams to deliver solutions efficiently while actively participating in sprints and ceremonies.<br>• Troubleshoot and resolve issues in existing data systems to maintain optimal performance.<br>• Provide guidance and conduct code reviews for entry level team members.<br>• Stay updated on emerging technologies and recommend improvements to enhance data engineering practices.
We are looking for a skilled Data Engineer to join our team on a long-term contract basis in Houston, Texas. In this role, you will design, develop, and maintain data pipelines and systems that support critical business operations within the manufacturing industry. Your expertise in data engineering technologies and frameworks will be key to ensuring efficient data processing and integration.<br><br>Responsibilities:<br>• Develop, optimize, and maintain scalable data pipelines to process large datasets efficiently.<br>• Implement ETL processes to extract, transform, and load data from various sources into centralized systems.<br>• Leverage Apache Spark, Hadoop, and Kafka to design solutions for real-time and batch data processing.<br>• Collaborate with cross-functional teams to understand data requirements and translate them into technical solutions.<br>• Monitor and troubleshoot data systems to ensure reliability and performance.<br>• Document data workflows and processes to ensure clarity and maintainability.<br>• Conduct testing and validation of data systems to ensure accuracy and quality.<br>• Apply Python programming to automate data tasks and streamline workflows.<br>• Stay updated on industry trends and emerging technologies to propose innovative solutions.<br>• Ensure compliance with data security and privacy standards in all engineering efforts.
We are looking for a skilled Data Engineer to join our team in Houston, Texas. This contract position offers an exciting opportunity to leverage your expertise in data processing and analytics within the dynamic energy and natural resources industry. You will play a pivotal role in designing, implementing, and optimizing data solutions to support critical business operations.<br><br>Responsibilities:<br>• Develop and maintain scalable data pipelines using Apache Spark, Python, and ETL processes.<br>• Design and implement data storage solutions utilizing Apache Hadoop for efficient data management.<br>• Build real-time data streaming architectures with Apache Kafka to support operational needs.<br>• Optimize data workflows to ensure high performance and reliability across systems.<br>• Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions.<br>• Perform data quality checks and validation to ensure accuracy and consistency of datasets.<br>• Troubleshoot and resolve technical issues related to data processing and integration.<br>• Document processes and workflows to ensure knowledge sharing and operational transparency.<br>• Monitor and improve system performance, ensuring the infrastructure meets business demands.
We are looking for a skilled Data Engineer to join our team in Houston, Texas. This long-term contract position offers an exciting opportunity to work in the manufacturing industry, leveraging your expertise in data processing and engineering. You will play a pivotal role in designing, implementing, and optimizing data solutions to support critical business operations.<br><br>Responsibilities:<br>• Develop and maintain scalable data pipelines using tools such as Apache Spark and Python.<br>• Design efficient ETL processes to extract, transform, and load data from various sources.<br>• Collaborate with cross-functional teams to understand data requirements and deliver actionable insights.<br>• Implement and manage big data solutions using Apache Hadoop and Apache Kafka.<br>• Monitor and optimize the performance of data systems to ensure reliability and scalability.<br>• Ensure data quality and integrity through rigorous testing and validation processes.<br>• Troubleshoot and resolve issues related to data pipelines and infrastructure.<br>• Maintain documentation for data workflows and processes to ensure clarity and consistency.<br>• Stay updated on emerging technologies and best practices in data engineering to continuously improve systems.
<p>We are seeking an experienced MLOps Engineer to design, deploy, monitor, and maintain machine learning solutions in production across AWS, Microsoft Azure, and Snowflake environments. This role will collaborate closely with data scientists, platform engineers, and cloud teams to operationalize ML models, automate pipelines, and build reliable, secure, and scalable ML/data platforms.</p><p>The ideal candidate brings strong hands-on expertise across the end-to-end ML lifecycle, cloud-native deployment, CI/CD automation, model monitoring, and production-grade data pipelines.</p><p><br></p><p><strong>Key Responsibilities:</strong></p><p>· Design and implement end-to-end ML pipelines for ingestion, feature engineering, training, validation, deployment, and monitoring.</p><p>· Deploy and manage ML models in production across AWS, Azure, and Snowflake ecosystems.</p><p>· Build batch and real-time inference pipelines using cloud-native and platform-native services.</p><p>· Automate model packaging, testing, releases, and rollback using CI/CD best practices.</p><p>· Integrate ML workflows with AWS SageMaker, AWS Lambda, Azure Machine Learning, Azure Data Factory, and Snowflake.</p><p>· Build and maintain orchestration workflows using Airflow, Azure Data Factory, or similar tools.</p><p>· Implement experiment tracking, model registries, and model governance processes.</p><p>· Monitor model accuracy, drift, latency, throughput, pipeline performance, and infrastructure usage.</p><p>· Establish advanced deployment strategies (canary, shadow, blue-green, rollback).</p><p>· Collaborate with cross-functional teams to transition models from research to production.</p><p>· Ensure security, compliance, traceability, and access control for ML systems and data.</p><p>· Optimize platform reliability, performance, and cost across AWS, Azure, and Snowflake.</p>
<ol><li>Own and define the enterprise application architecture vision across line-of-business systems, customer-facing applications, and internal operational and industrial digital platforms. Translate business strategy into a clear, scalable application roadmap that aligns with organizational standards, cloud strategy, and long-term technology goals.</li><li>Create and maintain application architecture standards, reference architectures, and reusable design patterns covering APIs, integrations, security, application development, and deployment. Enforce consistent adoption of architectural practices through design reviews, technical governance, and collaboration with engineering leadership</li><li>Serve as the senior technical authority for application architecture, providing direction on complex system design, integrations, scalability, performance, and security concerns. Partner closely with engineering leadership and development teams to guide architectural decisions and act as the final escalation point on application design matters.</li></ol>
<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><strong>IT Architect & Technical Lead – ADMS / OMS </strong></p><p><strong>Location:</strong> Remote PST (occasional travel required)</p><p><strong>Position Type:</strong> 6 Month Contract, Potential for Extension </p><p><br></p><p><strong>Overview</strong></p><p>We are seeking a highly skilled <strong>IT Architect and Technical Lead</strong> with deep expertise in <strong>Emerson / AspenTech Advanced Distribution Management System (ADMS) and Outage Management System (OMS)</strong> solutions. This role will lead the architecture, design, implementation, and integration of Digital Grid Management (DGM) platforms to support reliable, scalable, and high-performing utility operations.</p><p>The ideal candidate brings strong technical leadership, hands-on configuration and integration experience, and the ability to collaborate effectively with cross-functional teams to deliver complex utility control center solutions.</p><p><strong>Key Responsibilities</strong></p><ul><li>Lead end-to-end architecture design for ADMS/OMS implementations, including SCADA, DMS, OMS, and integrations with GIS, AMI, Distribution Automation, and enterprise systems.</li><li>Define control center configurations, system topologies, high-availability architectures, and disaster recovery strategies aligned with industry and vendor best practices.</li><li>Support delivery of ADMS, OMS, and/or DERMS projects, including solution design, system integration, configuration, testing, and go-live support.</li><li>Lead and support integration of ADMS/OMS with utility systems such as SCADA, GIS, SAP, and Switch Order Management (SOM) to ensure seamless data flow and operational efficiency.</li><li>Lead and support ADMS/OMS configuration, including outage job workflows from call intake through job closure and reporting.</li><li>Lead and assist with data modeling and data migration from legacy OMS platforms to new systems.</li><li>Provide technical leadership to project delivery teams, including mentoring junior staff and contributing hands-on to technical development activities.</li><li>Conduct workshops, validate solution designs, and oversee configuration of OMS functionality (e.g., prediction rules, ETR matrices, crew management, outage assist displays).</li><li>Oversee configuration, testing, and commissioning of Emerson/AspenTech ADMS/OMS solutions, ensuring accurate real-time modeling of power system conditions.</li><li>Collaborate with stakeholders to gather requirements, perform system evaluations, and support procurement processes; coordinate with vendors to ensure solution compatibility.</li><li>Develop and execute quality assurance plans to validate system functionality, performance, and compliance with applicable standards.</li><li>Create and maintain technical documentation, including architecture diagrams, standards, procedures, security controls, and long-term roadmaps.</li><li>Ensure solutions incorporate cybersecurity best practices, scalability for increasing DER penetration, and real-time performance for outage management and grid optimization.</li><li>Troubleshoot complex technical issues related to ADMS/OMS implementations and provide effective resolution.</li><li>Identify opportunities to enhance grid automation capabilities, including integration with DERMS and other advanced technologies.</li></ul>