We are looking for a skilled Network Engineer to join our team in The Woodlands, Texas. In this role, you will be responsible for designing, implementing, and maintaining robust network systems to support our organization's operations. This position requires expertise in Cisco networking technologies and security protocols to ensure the reliability and security of our infrastructure.<br><br>Responsibilities:<br>• Configure, manage, and maintain Cisco routers to ensure optimal network performance.<br>• Oversee the implementation and management of Palo Alto Firewalls to enhance network security.<br>• Administer and troubleshoot Cisco ASA devices to support secure remote access and network protection.<br>• Implement and optimize Border Gateway Protocol (BGP) to ensure efficient network routing.<br>• Monitor and maintain network systems to ensure high levels of performance and reliability.<br>• Collaborate with team members to design and execute network upgrades and improvements.<br>• Identify and resolve network issues promptly to minimize downtime and operational impact.<br>• Document network configurations, changes, and processes to maintain accurate records.<br>• Provide technical support and guidance to internal teams regarding network operations.<br>• Stay updated on the latest networking technologies and best practices to improve system efficiency.
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.
<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>
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.
<p>Position Overview</p><p>We are seeking a delivery‑focused Data Automation Engineer to design and implement innovative automation solutions across a Microsoft Azure‑based data analytics platform. This role partners closely with engineering teams and stakeholders to translate business requirements into scalable data engineering and AI‑enabled solutions.</p><p>The ideal candidate is hands‑on with Azure Data Factory, Synapse Pipelines, Apache Spark, Python, and SQL, and brings experience building reliable ETL pipelines across SQL and NoSQL environments. This role emphasizes performance optimization, automation, and proactive data quality within Agile DevOps delivery models.</p><p><br></p><p>Key Responsibilities</p><p>Data Engineering & Automation</p><ul><li>Develop high‑performance data pipelines using Azure Data Factory, Synapse Pipelines, Spark Notebooks, Python, and SQL.</li><li>Design ETL workflows supporting advanced analytics, reporting, and AI/ML use cases.</li><li>Implement data migration, integrity, quality, metadata, and security controls across pipelines.</li><li>Monitor, troubleshoot, and optimize pipelines for availability, scalability, and performance.</li></ul><p>Performance Testing & Optimization</p><ul><li>Execute ETL performance testing and validate load performance against benchmarks.</li><li>Analyze pipeline runtime, throughput, latency, and resource utilization.</li><li>Support tuning activities (e.g., query optimization, partitioning, indexing).</li><li>Validate data completeness and consistency after high‑volume processing.</li></ul><p>Platform Collaboration & DevOps Support</p><ul><li>Collaborate with DevOps and infrastructure teams to optimize compute, memory, and scaling.</li><li>Maintain versioning and configuration control across environments.</li><li>Support production, testing, development, and integration environments.</li><li>Actively participate in Agile delivery processes including Program Increment planning.</li></ul>
<p>We are looking for a highly skilled Network Engineer to join our team in Houston, Texas. In this Contract position, you will play a critical role in designing, managing, and optimizing network and telecommunications systems across a robust manufacturing environment. This is an exciting opportunity to leverage your expertise in network architecture, security, and troubleshooting while contributing to the reliability and efficiency of enterprise-wide IT operations.</p><p><br></p><p>Responsibilities:</p><p>• Design, implement, and manage secure and reliable network and telecommunications systems to support business and manufacturing operations.</p><p>• Oversee the installation, configuration, and maintenance of network components, including switches, routers, and firewalls.</p><p>• Monitor network performance to ensure high availability and resolve issues promptly to minimize downtime.</p><p>• Lead efforts to evaluate, deploy, and optimize new technologies that enhance the organization’s IT infrastructure.</p><p>• Manage network and telecom service providers, ensuring quality and cost-effectiveness in service delivery.</p><p>• Develop and enforce IT operations policies, procedures, and best practices to maintain a secure and efficient network environment.</p><p>• Collaborate with IT leadership to align network infrastructure with organizational goals and system requirements.</p><p>• Train and mentor entry level team members to strengthen the overall capabilities of the IT support team.</p><p>• Manage and execute projects using standard project planning methodologies to improve network and telecom systems.</p><p>• Ensure compliance with change management processes for all network and telecom-related updates.</p>
<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>
<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 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 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 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>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>
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, build, and manage data pipelines and systems to support business operations and decision-making processes. This position offers an exciting opportunity to work with cutting-edge technologies within the energy and natural resources sector.<br><br>Responsibilities:<br>• Develop and maintain scalable data pipelines to efficiently process large volumes of data.<br>• Collaborate with cross-functional teams to gather requirements and design data solutions that meet business needs.<br>• Implement and optimize ETL processes to ensure the accuracy and reliability of data flows.<br>• Utilize technologies such as Apache Spark, Hadoop, and Kafka to manage and process data streams.<br>• Monitor and troubleshoot data systems to ensure optimal performance and reliability.<br>• Perform data integration from multiple sources to create unified datasets for analysis.<br>• Ensure data security and compliance with organizational and industry standards.<br>• Continuously evaluate and adopt new tools and technologies to enhance data engineering practices.<br>• Provide technical guidance and mentorship to entry-level team members as needed.
We are looking for a skilled Business Intelligence Director to lead data-driven strategies and insights for our organization. This is a Contract position based in Houston, Texas, where you will oversee the development and implementation of BI solutions to support business decision-making. The ideal candidate will possess a strong technical background and a proven ability to manage diverse analytics tools and methodologies.<br><br>Responsibilities:<br>• Lead the design and implementation of business intelligence solutions to support organizational goals.<br>• Analyze complex data sets to identify trends, patterns, and actionable insights.<br>• Oversee the integration and optimization of tools such as Atlassian Jira, BusinessObjects, and Cognos BI.<br>• Develop and maintain advanced data visualizations and dashboards to support decision-making.<br>• Collaborate with cross-functional teams to define analytics requirements and deliver tailored solutions.<br>• Utilize Maps API and other technologies to enhance location-based data analysis.<br>• Conduct A/B testing to evaluate the effectiveness of business strategies and solutions.<br>• Provide ad hoc reporting to meet the dynamic needs of stakeholders.<br>• Foster a culture of analytics and data-driven decision-making across the organization.<br>• Ensure adherence to Agile Scrum methodologies in project execution.
<p>We are seeking a <strong>hands-on technical manager</strong> to lead and actively contribute to the design, implementation, and operation of enterprise IT infrastructure. This role combines leadership with deep technical expertise, focusing on <strong>data center technologies, networking, virtualization, and cloud platforms</strong> to ensure reliability, performance, and security across hybrid environments.</p><p><br></p><p><strong>Key Responsibilities</strong></p><ul><li>Act as a <strong>technical lead</strong>, actively configuring, troubleshooting, and optimizing infrastructure systems.</li><li>Manage and participate in the administration of <strong>data center technologies</strong>, including servers, storage, and <strong>VMware virtualization</strong>.</li><li>Design and maintain <strong>enterprise networking solutions</strong>, including <strong>SD-WAN</strong>, network segmentation, and advanced security practices.</li><li>Lead <strong>cloud architecture and migration projects</strong>, with hands-on experience in <strong>Azure</strong> and hybrid cloud environments.</li><li>Implement and manage <strong>Infrastructure as Code (IaC)</strong> and <strong>DevOps practices</strong> for automation and scalability.</li><li>Ensure operational excellence, cybersecurity resilience, and compliance with industry standards.</li><li>Collaborate with cross-functional teams to deliver secure, reliable, and cost-effective technology solutions.</li><li>Mentor and guide team members while remaining actively involved in technical execution.</li></ul><p><br></p>