<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>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>
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>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>
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 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><br></p><ul><li>Design and implement scalable data architectures using Azure services, especially Azure Data Factory</li><li>Build, deploy, and maintain data pipelines for structured and unstructured data</li><li>Lead the integration of Microsoft Fabric into enterprise data solutions</li><li>Collaborate with data scientists to operationalize AI/ML models and embed them into business processes</li><li>Ensure data governance, security, and best practices across the entire data lifecycle</li><li>Partner with cross-functional teams to translate business needs into technical solutions</li></ul><p><br></p><p> Nice to Have</p><ul><li>Microsoft certifications (e.g., Azure Data Engineer, Azure Solutions Architect)</li><li>Experience with Power BI integration</li><li>Exposure to data mesh or data fabric concepts</li></ul><p><br></p><p><br></p>
<p>Overview Hands-</p><p>on IT leader with deep technical expertise in Microsoft Azure, Microsoft 365, and enterprise infrastructure. Experienced in leading IT operations teams, balancing tactical execution with strong leadership and communication. Brings oil & gas industry context, ensuring reliable support across offices and remote field operations. </p><p>Core Technical Skills </p><p>• Microsoft Azure: VMs, storage, networking, hybrid cloud, AD Connect. </p><p>• Microsoft 365: Exchange Online, Teams, SharePoint, OneDrive, Azure AD. • Infrastructure: Windows Server, Active Directory, VMware/Hyper-V, SAN/NAS, backup & disaster recovery.</p><p> • Networking: LAN/WAN, VPNs, firewalls, routers/switches, VoIP, field connectivity. </p><p>• Endpoint Management: Intune/SCCM, patching, imaging, inventory lifecycle. </p><p>• Cybersecurity: Identity & access, endpoint protection, incident response, compliance controls</p>
