<p>We are seeking a Systems Administrator with experience managing enterprise infrastructure and leading cloud migration initiatives. This role will support on-premises and cloud environments while helping drive modernization efforts across the organization.</p><p>Responsibilities</p><ul><li>Administer Windows Server, Active Directory, Citrix, Exchange 2019, Exchange Online, file servers, and remote access solutions.</li><li>Support and maintain hybrid cloud environments.</li><li>Lead infrastructure and cloud migration projects from planning through implementation.</li><li>Develop and maintain disaster recovery and business continuity processes.</li><li>Perform system upgrades, patching, maintenance, and security remediation.</li><li>Monitor system performance, availability, and compliance.</li><li>Coordinate with vendors and internal IT teams to deliver infrastructure projects.</li><li>Provide occasional on-call support.</li></ul><p><br></p>
We are looking for a Data Engineer to join our Data & Analytics team in Houston, Texas, and help strengthen the reporting foundation that supports decisions across the business. In this role, you will shape data into reliable, business-ready models, develop scalable reporting structures, and work closely with teams such as Finance and Operations to turn complex rules into clear insights. This position blends technical data engineering with analytics-focused development, offering the opportunity to improve reporting quality, maintain dependable data flows, and contribute to ongoing enhancements in our analytics environment.<br><br>Responsibilities:<br>• Develop and maintain structured data models, including staging layers, reporting tables, and dimensional designs within the Azure-based data warehouse environment.<br>• Create and support Power BI semantic models, calculated measures, security configurations, dashboards, and reports used for operational and enterprise reporting.<br>• Monitor scheduled data workflows and dataset refresh activity, investigate processing issues, and resolve failures to keep reporting available and accurate.<br>• Adjust and enhance existing ETL and orchestration processes as business needs evolve, using tools such as Azure Data Factory and related Microsoft data platforms.<br>• Collaborate with stakeholders across functions to translate reporting needs, financial logic, and operational rules into dependable analytical solutions.<br>• Produce clear technical and business documentation covering model design, metric definitions, transformation logic, and data ownership.<br>• Apply and help refine development standards for naming, modeling approach, query design, and reporting structure to improve consistency and quality.<br>• Identify opportunities to streamline current data practices, improve performance, and introduce effective tools or methods that strengthen analytics capabilities.
We are looking for a Data Scientist to help strengthen turbine reliability and improve operational visibility across a power generation fleet in Houston, Texas. This position combines hands-on data preparation, advanced analytics, and business reporting to turn complex equipment and performance data into practical insights for engineering and leadership teams. The ideal candidate can move comfortably between developing dashboards, analyzing downtime patterns, and creating predictive tools that support maintenance and performance decisions.<br><br>Responsibilities:<br>• Create and enhance dashboard reporting that highlights fleet financial results, equipment availability, and the primary factors affecting cost and performance.<br>• Convert operational and maintenance data into meaningful metrics and recurring reports for engineering teams, business partners, and leadership stakeholders.<br>• Gather, organize, and refine downtime, outage, and maintenance records from multiple operational sources and field documentation to support reliable analysis.<br>• Evaluate failure and outage events to identify root causes and categorize trends across mechanical, electrical, controls, weather, and grid-related issues.<br>• Build and maintain a dependable historical data set that supports querying, trend analysis, and long-term reliability reviews across the turbine fleet.<br>• Design and implement statistical and machine learning models that anticipate downtime risk, detect component deterioration, and support earlier intervention.<br>• Develop anomaly detection and early alert solutions using sensor and operating data such as vibration, temperature, pressure, and combustion-related measurements.<br>• Partner with reliability, operations, engineering, and asset management teams to validate analytical findings, improve data pipelines, and recommend maintenance strategy adjustments based on observed trends.<br>• Present technical conclusions and business implications clearly to both specialized and non-technical audiences, including management and leadership teams.
We are looking for a Systems Security Administrator to support and strengthen the security posture of our transport operations in Houston, Texas. This Long-term Contract position is ideal for someone who is detail oriented and can monitor threats, respond to incidents, and maintain security platforms across a Microsoft-centered environment. The role requires a hands-on approach to endpoint protection, vulnerability management, and defensive monitoring, along with the ability to collaborate effectively with technical teams. Success in this position will come from combining sound security judgment with clear communication and dependable operational support.<br><br>Responsibilities:<br>• Monitor Microsoft security technologies, including Office 365 E5 security capabilities and endpoint protection tools, to identify, assess, and resolve cyber threats.<br>• Respond to security events with urgency by investigating alerts, containing risks, and supporting remediation efforts across affected systems.<br>• Administer and optimize vulnerability management platforms such as Rapid7 or Tenable, including tuning scans and helping drive effective patching activities.<br>• Review intrusion detection and prevention alerts, examine suspicious behavior, and conduct proactive threat-hunting activities to uncover potential risks.<br>• Maintain and support security applications through installation, configuration, updates, and ongoing system upkeep.<br>• Help develop, apply, and reinforce security policies and technical controls across the environment.<br>• Work closely with internal teams to address security issues tied to patch cycles, system hardening, and operational challenges.<br>• Provide support during after-hours or weekend security incidents when timely response is required.<br>• Contribute to DevSecOps-related security efforts where applicable, including collaboration with development and toolchain environments such as GitHub.<br>• Assist in strengthening security architecture by applying knowledge of Windows systems, networking, firewalls, and defensive best practices.
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>Join a growing data engineering team supporting mission-critical analytics and business operations within the <strong>energy, commodities trading, oil & gas, or financial services sector</strong>. This role is focused on designing and supporting cloud-based data solutions using <strong>Python, Snowflake, and AWS</strong>, enabling scalable, reliable, and high-performance data platforms.</p><p>You will work closely with business stakeholders, analysts, and engineering teams to build production-grade data pipelines, modernize legacy data environments, and deliver trusted datasets that support operational and strategic decision-making.</p><p><br></p><p>Responsibilities</p><ul><li>Design, develop, and maintain scalable <strong>Python-based data pipelines</strong> that ingest, transform, and deliver data from internal and external sources.</li><li>Build and optimize data models within <strong>Snowflake</strong>, ensuring performance, scalability, and cost efficiency.</li><li>Develop ELT/ETL solutions leveraging cloud-native AWS services.</li><li>Create, monitor, and support batch and near real-time data integration workflows.</li><li>Work with structured, semi-structured, and time-series datasets from operational, trading, financial, and market data systems.</li><li>Modernize legacy data processes and migrate legacy database workloads into modern cloud architectures.</li><li>Implement data quality, reconciliation, monitoring, and alerting capabilities across the data platform.</li><li>Collaborate with analysts, traders, business users, and technology teams to deliver data solutions aligned with business objectives.</li><li>Participate in code reviews, testing, documentation, and deployment activities following engineering best practices.</li><li>Support production environments and troubleshoot data pipeline issues as needed.</li></ul><p><br></p><p><br></p><p><br></p>