We are looking for a skilled Data Engineer to design and implement robust technical solutions for enterprise applications. This role involves creating scalable and secure cloud-native systems on Azure, while collaborating closely with stakeholders to meet business requirements. The ideal candidate will possess strong expertise in data architecture and integration strategies, ensuring high engineering standards and seamless orchestration across systems.<br><br>Responsibilities:<br>• Design and maintain comprehensive technical architectures for enterprise applications, ensuring scalability and security.<br>• Develop integration strategies across multiple systems, including manufacturing, field service, and customer portals.<br>• Collaborate with the Principal Architect to define data contracts and establish effective integration patterns.<br>• Partner with teams in Product, AI/ML Engineering, and business units to translate requirements into functional solutions.<br>• Create reference implementations and frameworks to streamline development processes.<br>• Oversee system-level orchestration and elevate engineering standards across projects.<br>• Implement cloud-native solutions on Azure, leveraging modern tools and technologies.<br>• Provide technical guidance and mentorship to engineering teams, fostering best practices.<br>• Continuously monitor and improve system performance, addressing issues proactively.
<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. As part of the Manufacturing industry, you will play a pivotal role in developing and maintaining data infrastructure critical to our operations. This is a long-term contract position that offers the opportunity to work on innovative projects and collaborate with a dynamic team.<br><br>Responsibilities:<br>• Design and implement scalable data pipelines to support business operations and analytics.<br>• Develop, test, and maintain ETL processes for efficient data extraction, transformation, and loading.<br>• Utilize tools such as Apache Spark and Hadoop to manage and process large datasets.<br>• Integrate and optimize data streaming platforms like Apache Kafka.<br>• Collaborate with cross-functional teams to ensure data solutions align with organizational goals.<br>• Monitor and troubleshoot data systems to ensure optimal performance and reliability.<br>• Create and maintain documentation for data processes and systems.<br>• Stay updated on emerging technologies and recommend improvements to enhance data engineering practices.<br>• Ensure data security and compliance with industry standards and regulations.
We are looking for an entry-level Software Engineer to join our dynamic team in Spring, Texas. This role offers an exciting opportunity to contribute to the development and enhancement of cutting-edge software applications. You will work closely with a collaborative team to design, implement, and maintain innovative solutions.<br><br>Responsibilities:<br>• Develop and maintain software applications using C# and .NET frameworks.<br>• Collaborate with team members to design and implement user-friendly features using React.js and JavaScript.<br>• Troubleshoot and resolve software issues to ensure optimal functionality.<br>• Participate in code reviews to uphold high-quality standards.<br>• Assist in testing and debugging applications to ensure reliability and performance.<br>• Create and update technical documentation for software projects.<br>• Implement improvements to existing systems based on user feedback.<br>• Stay updated on emerging technologies and industry trends to continuously enhance skills.
<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 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 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>Position Overview</p><p>We are seeking a Data Governance & Data Quality Platform Engineer to own the technical administration, integration, and optimization of enterprise data governance and data quality platforms (e.g., Atlan, Monte Carlo). This role ensures governance and quality tools are scalable, securely integrated into the enterprise data ecosystem, and maintained for high availability and performance.</p><p>The ideal candidate brings strong platform engineering skills, experience automating data quality and metadata workflows, and a solid understanding of governance, compliance, and modern data architectures.</p><p>Key Responsibilities</p><p><br></p><p>1. Platform Engineering & Administration</p><ul><li>Configure and maintain data governance platforms for metadata management, data lineage, and governance workflows</li><li>Configure data quality tools for profiling, rule creation, and monitoring dashboards</li><li>Manage platform security, including user roles, authentication, SSO, RBAC, and access controls</li></ul><p>e2. Integration & Automation</p><ul><li>Develop and maintain integrations across data sources, databases, data lakes, and BI tools</li><li>Automate metadata ingestion and data quality checks using APIs, Python scripts, or ETL frameworks</li><li>Configure and maintain connectors for analytics and reporting platforms</li></ul><p> 3. Performance, Reliability & Monitoring</p><ul><li>Monitor platform health and optimize performance and scalability</li><li>Apply upgrades, patches, and troubleshoot technical issues</li><li>Implement logging, alerting, and proactive monitoring for governance and data quality environments</li></ul><p>a4. Technical Support & Issue Resolution</p><ul><li>Provide Tier 3 support for platform‑related incidents and escalations</li><li>Debug integration failures and resolve configuration conflicts</li><li>Collaborate with vendors for advanced troubleshooting and roadmap alignment</li></ul><p>r5. Security, Compliance & Risk Management</p><ul><li>Ensure platforms comply with data privacy and security standards (e.g., GDPR, CCPA)</li><li>Implement encryption, audit logging, and access controls</li><li>Support compliance reporting and risk assessments using governance and data quality metrics</li></ul>
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.
<p><strong>Principal Data Scientist (AI/ML Focus)</strong></p><p><strong>Service Type:</strong> 42 Week Contract </p><p><strong>Worksite:</strong> Onsite, Monday–Thursday — Houston, TX</p><p><strong>Pay: </strong>Available on W2 </p><p><strong>Position Overview</strong></p><p>We are seeking a <strong>Principal Scientist, Data</strong> with deep expertise in <strong>AI, Machine Learning, Natural Language Processing (NLP), Computer Vision (CV), and Generative AI</strong>. This role requires a strong technical foundation, excellent communication skills, and the ability to translate complex methodologies into meaningful business outcomes.</p><p>The ideal candidate is proactive, innovative, and passionate about developing advanced AI-driven solutions using modern architectures including <strong>LLMs, deep learning models, multi-agent systems, and generative AI techniques</strong>.</p><p><strong>Requirements</strong></p><ul><li>Strong background in <strong>NLP, Computer Vision, and Generative AI</strong>.</li><li>Broad background in <strong>Artificial Intelligence</strong>.</li><li>Excellent verbal and written communication skills.</li></ul><p> <strong>Key Responsibilities</strong></p><ul><li>Develop, train, and optimize <strong>machine learning and deep learning models</strong>.</li><li>Build advanced AI solutions using <strong>LLMs, multi-agent systems, fine-tuning techniques, and inference optimization</strong>.</li><li>Transform complex data science methodologies into actionable insights.</li><li>Collaborate closely with stakeholders to develop high-value, data-driven solutions.</li><li>Create clear, compelling presentations, dashboards, and deliverables for non-technical audiences.</li><li>Drive full lifecycle AI/ML projects from ideation through deployment.</li></ul>
<p>Position Overview</p><p>We are seeking a highly skilled Data Scientist with deep expertise in Artificial Intelligence, Natural Language Processing (NLP), Computer Vision (CV), and Generative AI. This role is ideal for an innovative problem‑solver who thrives in a fast‑paced environment and is passionate about developing advanced AI/ML models that drive meaningful business value.</p><p>You will design, train, and deploy cutting‑edge AI models—including large language models (LLMs) and multi‑agent systems—turning complex data into scalable, high‑impact solutions.</p><p><br></p><p>Key Responsibilities</p><ul><li>Develop, train, and optimize machine learning and deep learning models</li><li>Build advanced AI solutions leveraging LLMs, multi‑agent systems, fine‑tuning methods, and inference optimization</li><li>Translate complex data science methodologies into clear, actionable insights for business stakeholders</li><li>Collaborate with cross‑functional teams to ensure AI solutions align with business needs</li><li>Create compelling presentations, dashboards, and data stories for non‑technical audiences</li><li>Contribute to innovation initiatives involving NLP, CV, Generative AI, and predictive analytics</li></ul>
<p>The individual in this position will handle daily support practices, incident support, projects, etc. and provide feedback to the technical and leadership teams. Network Engineers install and maintain network & telecom infrastructure, collect network performance data, and resolve network issues in collaboration with vendors, and IT teams. They work at organizations' centralized network operations or data centers. It is expected that the candidate has demonstrated historical competency in networking while also has the technical aptitude to progress towards cross disciplinary technology operations support.</p><p>Responsibilities</p><p>• Provide Tier 3 Technical Support.</p><p>• Occasional travel (primarily day travel by automobile) to branch sites within a region to address technical needs.</p><p>• Resolve incidents by thorough troubleshooting delivering data-driven options utilizing the OSI model.</p><p>• Execute or implement changes and infrastructure requests.</p><p>• Install and configure network & telecom hardware and software, including routers, switches, firewalls, wireless access points, cubes, Adtrans.</p><p>• Monitor network performance to identify and resolve issues promptly.</p><p>• Maintain network security by implementing security measures and protocols per the Bank’s standards.</p><p>• Manage network backup and recovery processes to ensure data integrity and availability.</p><p>• Perform regular maintenance and updates on network & telecom systems to ensure optimal performance.</p><p>• Troubleshoot and provide client support for technology and infrastructure issues.</p><p>• Document and update incident technical details into service desk ticketing system.</p><p>• Maintain comprehensive documentation of network configurations, changes, and inventory.</p><p>• Generate regular reports on network performance, security incidents, and usage statistics.</p><p>• Communicate with key stakeholders to provide frequent status updates regarding technical issues and status of the remediation efforts.</p><p>• Execution of standard operational processes which involve technology and client interfaces.</p><p>• Perform all triage functions</p><p>• Extensive in-depth familiarity with Cisco IOS, UCS, UCM, UCCX, CER and monitoring platforms</p><p>• Perform hardware replacements</p><p>• Troubleshoot software or configuration related issues</p><p>• Adhere to operating procedures</p><p>• Identify and remediate possible major impacting events within the network</p><p>• Work with vendors across the technology to provide the highest possible uptime rate of network services</p><p>• Quickly identify the layer 1 and 2 connections to an IP address</p><p><br></p><p><br></p>
