<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>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><strong>Overview:</strong></p><p> We are looking for a Data Engineer with deep experience in AWS and Databricks to support our big data initiatives and analytics platforms.</p><p><strong>Responsibilities:</strong></p><ul><li>Build and maintain scalable data pipelines using AWS Glue, Lambda, and Databricks.</li><li>Integrate data from various sources into a unified data lake.</li><li>Optimize Spark jobs and manage cluster performance.</li><li>Collaborate with cross-functional teams to deliver data solutions.</li><li>Implement data quality checks and monitoring frameworks.</li></ul><p><br></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>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>
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>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>The successful candidate will be able to:</strong></p><ul><li>Actively participate in the planning design and implementation of network related projects</li><li>Act as an escalation resource for reported network or application performance issues</li><li>Manage and support the network monitoring and configuration management software</li><li>Provide technical and architectural support for field networks to include industrial switches routers and wireless bridges</li><li>Assist in developing the overall network strategy</li><li>Utilize service portal to manage and create service requests outages and change requests</li><li>Identify evaluate and recommend technologies using best practices/industry standards</li><li>Identify innovative ways to utilize existing applications and technologies</li><li>Forecast and coordinate management of change for scheduled maintenance weekends</li><li>Effectively communicate with end users and peers around the world</li><li>International and Domestic travel may be required</li></ul><p><br></p>
<p>We’re seeking a highly skilled and proactive <strong>Senior Infrastructure Engineer</strong> to lead the design, optimization, and automation of our enterprise data center and cloud environments. This role is ideal for a seasoned professional with deep expertise in <strong>Cisco UCS</strong>, <strong>VMware</strong>, <strong>SAN technologies</strong>, and <strong>AWS cloud infrastructure</strong>, who thrives in a fast-paced, mission-critical setting.</p><p>You’ll be responsible for architecting and maintaining robust, scalable systems that support virtualization, storage, backup, and hybrid cloud operations—while mentoring junior engineers and driving automation through tools like <strong>Terraform</strong>, <strong>PowerCLI</strong>, and <strong>Ansible</strong>.</p><p>Architect and manage <strong>Cisco UCS</strong> infrastructure including blade/rack servers, Fabric Interconnects, and service profiles</p><p>Lead administration and optimization of <strong>VMware vSphere</strong> environments: ESXi hosts, vCenter, clustering, and resource planning</p><p>Oversee <strong>SAN</strong> platforms (e.g., Pure Storage, NetApp), including provisioning, Fibre Channel zoning, and performance tuning</p><p>Design and implement enterprise <strong>backup and disaster recovery</strong> strategies to ensure data resilience</p><p>Drive <strong>AWS</strong> cloud initiatives, including EC2 provisioning, hybrid cloud integration, and infrastructure scaling</p><p>Automate infrastructure provisioning and configuration using <strong>Terraform</strong>, <strong>PowerCLI</strong>, and <strong>Ansible</strong></p><p>Lead lifecycle management, patching, and capacity planning across physical and virtual environments</p><p>Maintain detailed documentation including architecture diagrams, operational procedures, and recovery plans</p><p>Provide Tier 3 support for escalated infrastructure issues and mentor junior team members</p><p>Collaborate with cross-functional teams to align infrastructure solutions with business goals</p>
<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>
<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><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>
