<p>Core Responsibilities</p><ul><li>Lead Root Cause Analysis (RCA/FA) and implement corrective actions to prevent repeat failures.</li><li>Utilize SCADA, CMMS, and maintenance data to identify equipment degradation and support predictive maintenance.</li><li>Improve uptime and optimize asset lifecycle in partnership with Maintenance, Operations, and Engineering.</li><li>Develop and maintain reliability programs, spare part strategies, and asset hierarchy improvements in CMMS.</li><li>Track and report KPIs such as MTBF, MTTR, downtime, availability, and warranty life.</li><li>Support and execute RCM initiatives and ensure reliability considerations are included in CapEx planning.</li></ul><p><br></p>
We are looking for a skilled Sr. Software Engineer to join our dynamic team in Houston, Texas. In this role, you will collaborate with data scientists and machine learning engineers to develop advanced AI tools and applications, including supporting firmwide virtual assistant technologies. This position offers a unique opportunity to work across the entire machine learning lifecycle, from data sourcing and integration to solution design and implementation. If you are passionate about leveraging your technical expertise to drive business value, we encourage you to apply.<br><br>Responsibilities:<br>• Collaborate with global data scientists to deliver machine learning models and solutions for business users and technology teams.<br>• Develop, test, and maintain scalable software tools and data pipelines for machine learning applications.<br>• Provide expertise in software engineering, emphasizing maintainability, performance, and reliability, particularly in Python.<br>• Take ownership of critical technical infrastructure as needed to ensure seamless operations.<br>• Engage with projects at various stages, debugging and enhancing bespoke applications to improve performance and reliability.<br>• Manage multiple projects simultaneously, prioritizing tasks to maximize business impact.<br>• Lead and participate in code reviews, experiment design, and tooling decisions to enhance team productivity and quality.<br>• Act as a bridge between the Data Science team and other technology units for application integration, data sourcing, and infrastructure needs.
<p>Our team in <strong>Houston, TX</strong> is growing, and we’re looking for a skilled <strong>Citrix Engineer</strong> to join us. If you’re passionate about optimizing virtual desktop environments, ensuring seamless user experiences, and working with cutting-edge infrastructure, we’d love to hear from you!</p><ul><li>Responsible for the design, implementation, and support of a Citrix virtual desktop/infrastructure environment (e.g., Citrix Virtual Apps and Desktops, Citrix ADC / NetScaler).</li><li>Collaborate with cross-functional teams (network, storage, security) to ensure high availability and performance of VDI and Citrix-based solutions.</li><li>Troubleshoot Citrix infrastructure issues, manage upgrades, maintain policies and capacity planning.</li><li>Provide documentation, runbooks, and assist in automation of tasks.</li><li>Some on-call or after hours support may be required.</li></ul>
<p>Are you obsessed with data and thrive on turning complexity into clarity? We’re looking for a <strong>Lead Data Engineer</strong> who lives and breathes Python, knows Snowflake inside out, and can architect scalable solutions in AWS. If you love solving hard problems, building elegant data platforms, and communicating your ideas with clarity and impact—this is your role.</p><p>🔍 What You’ll Do</p><ul><li>Design and implement cloud-native data platforms using <strong>AWS</strong> and <strong>Snowflake</strong></li><li>Build robust data pipelines and services using <strong>Python</strong> and modern engineering practices</li><li>Architect scalable solutions for data ingestion, transformation, and analytics</li><li>Collaborate with analysts, scientists, and business stakeholders to translate ideas into technical reality</li><li>Lead cross-functional teams to deliver high-impact data products</li><li>Migrate legacy systems to cloud-based platforms with minimal disruption</li><li>Define long-term data architecture strategies aligned with business goals</li><li>Mentor junior engineers and champion best practices in design, testing, and deployment</li><li>Communicate complex technical concepts in a way that resonates with non-technical audiences</li></ul><p><br></p>
<p>Architect and implement a scalable Azure Data Fabric to unify on-prem and cloud data sources.</p><p>Design and develop ETL/ELT pipelines using Azure Data Factory (ADF/FDF) and potentially Apache Airflow.</p><p>Migrate and optimize data workflows from Snowflake and other platforms into Azure.</p><p>Collaborate with BI and AI teams to connect models to data sources and enable enterprise-wide intelligence.</p><p>Develop in Python and SQL, leveraging modern data engineering practices.</p><p>Support AI initiatives using tools like Enterprise Copilot and OpenAI, integrating models with real-time data.</p><p>Ensure data governance, security, and performance across all layers of the data architecture.</p><p>Mentor and collaborate with cross-functional teams, fostering a culture of innovation and data literacy</p>
<p>We are looking for an experienced Data Engineer to join our team in Houston. In this role, you will design and optimize data pipeline architecture, ensuring the seamless integration and analysis of structured and unstructured data. You will collaborate with stakeholders to deliver reliable and scalable data solutions that align with organizational objectives.</p><p><br></p><p>Responsibilities:</p><p>• Design, develop, and maintain scalable data pipelines using Microsoft Fabric components, including Azure Data Factory, Lakehouse, Data Warehouses, and Dataflows.</p><p>• Implement solutions for extracting, integrating, and processing large volumes of structured and unstructured data.</p><p>• Collaborate with data scientists, analysts, and stakeholders to understand data requirements and deliver tailored solutions.</p><p>• Optimize and troubleshoot data pipelines to ensure high performance and reliability.</p><p>• Apply data governance and security best practices to maintain data integrity and compliance.</p><p>• Monitor and enhance data infrastructure to ensure scalability and availability.</p><p>• Stay informed on advancements in data engineering and Microsoft Fabric technologies to drive innovation.</p><p>• Manage the Data Platform roadmap, including capacity planning, future-proofing, and optimization.</p><p>• Address data quality issues by tracing lineage, implementing cleansing processes, and ensuring consistency.</p><p>• Coordinate with IT Operations and external vendors to resolve production issues and improve platform capabilities.</p>
<p><strong>Overview:</strong></p><p> We are seeking a skilled Data Engineer with expertise in Azure cloud services and Snowflake to design, build, and maintain scalable data pipelines and infrastructure.</p><p><strong>Responsibilities:</strong></p><ul><li>Develop and optimize data pipelines using Azure Data Factory, Databricks, and Snowflake.</li><li>Implement ETL/ELT processes for structured and unstructured data.</li><li>Collaborate with data scientists and analysts to ensure data availability and quality.</li><li>Monitor and troubleshoot data workflows and performance issues.</li><li>Ensure data security and compliance with governance policies.</li></ul><p><br></p>
<p>Design and execute performance and load tests using LoadRunner and JMeter.</p><p>Analyze results to uncover bottlenecks, latency issues, and scalability limits.</p><p>Collaborate with developers, architects, and fellow Q/A engineers to define performance KPIs and test strategies.</p><p>Build and maintain realistic test environments and data sets.</p><p>Integrate performance testing into CI/CD pipelines for continuous validation.</p><p>Participate in sprint planning, design reviews, and production troubleshooting.</p><p>Stay current with performance testing trends, tools, and best practices.</p>
<p><strong>Overview:</strong></p><p> We are hiring a Python Developer with AWS experience to develop backend services and automation tools for cloud-native applications.</p>
<p>Develop and maintain front-end interfaces using .NET, Blazor, and HTML.</p><p>Build and optimize backend systems using SQL to support scalable AI-driven applications.</p><p>Integrate Azure AI Search into intelligent workflows and search experiences.</p><p>Collaborate on agentic architecture—designing and deploying autonomous agents for decision-making and task execution.</p><p>Work with tools like Semantic Kernel to build modular, reusable AI components.</p><p>Participate in adjacent AI projects, contributing to experimentation and innovation in intelligent system</p>
<p><strong>Overview:</strong></p><p> We are seeking a Full Stack Java Developer with strong experience in modern Angular frameworks and a background in the oil and gas industry. The ideal candidate will be comfortable working onsite and collaborating with cross-functional teams to deliver enterprise-grade applications.</p><p><strong>Responsibilities:</strong></p><ul><li>Design, develop, and maintain full stack applications using Java (Spring Boot) and Angular (v10+).</li><li>Collaborate with business analysts and stakeholders to gather requirements and translate them into technical solutions.</li><li>Build responsive and intuitive user interfaces using Angular and TypeScript.</li><li>Develop RESTful APIs and integrate with backend services.</li><li>Optimize application performance and ensure scalability.</li><li>Participate in code reviews, testing, and deployment activities.</li><li>Support and enhance existing applications in production environments.</li></ul><p><br></p>
Essential Duties and Responsibilities Develop and implement a cloud adoption roadmap, focusing on a seamless transition from on-premises infrastructure to a cloud environment. Lead cloud migration initiatives, including workload assessments, application modernization, and data migrations. Evaluate and recommend cloud service providers and technologies that align with business goals. Optimize and secure the O365 tenant, implementing best practices for governance, compliance, and operational efficiency. Enhance collaboration tools such as Teams, SharePoint, OneDrive, and Exchange Online to maximize user productivity. Implement best practices for identity and access management (IAM), including Azure AD, Conditional Access, and MFA. Ensure compliance with data retention, security, and regulatory requirements within the O365 ecosystem. Work closely with cybersecurity teams to harden cloud environments and ensure security best practices are followed. Develop and enforce policies for resource provisioning, cost management, access control, and data protection within cloud environments. Act as a trusted advisor to leadership, providing recommendations on cloud technologies and industry best practices. Work with application, networking, and security teams to design automated and scalable cloud solutions. Mentor and educate IT staff on cloud technologies, best practices, and operational efficiencies. Qualifications To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Proven experience with Microsoft Azure and strong expertise in Microsoft 365 administration and optimization. Hands-on experience in cloud migrations, including on-prem to cloud transitions and Microsoft 365 tenant-to-tenant migrations (mergers, acquisitions, and divestitures). Strong understanding of identity consolidation and migration strategies (e.g., Azure AD tenant migrations, hybrid identity) Expertise in cloud networking, security, and identity management (IAM, RBAC, Conditional Access, MFA). Experience with Infrastructure as Code (IaC) tools (Terraform, CloudFormation, ARM Templates, or similar). Strong knowledge of licensing, compliance, and data governance in M365. Hands-on experience with OneDrive & SharePoint content migrations (user file mapping, permissions transfer). Proven experience securing cloud environments through advanced security configurations, threat detection, and incident response strategies <br> <br> Education and/or Experience Bachelor’s degree in computer science, information technology, or a related field. Cloud Platform Certifications such as Azure Solutions Architect Expert, AWS Solutions Architect, or Google detail oriented Cloud Architect Microsoft 365 Certified: Administrator Expert or equivalent experience 5+ years of experience in cloud architecture, infrastructure design, and migration projects. 5+ years managing collaboration tools such as Microsoft O365
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.
