We are looking for a Systems Engineer to support and enhance a mixed infrastructure environment in Baltimore, Maryland. This role focuses on maintaining stable server operations, strengthening security and access controls, and contributing to cloud-connected solutions across on-premises and Microsoft platforms. The ideal candidate brings hands-on experience with Windows-based systems administration, a strong understanding of core infrastructure services, and a practical approach to reliability and continuous improvement.<br><br>Responsibilities:<br>• Oversee daily administration of Windows and Linux servers to ensure dependable performance, availability, and system health.<br>• Manage core identity and policy services, including Active Directory and Group Policy, while maintaining secure and consistent access controls.<br>• Support and maintain virtual infrastructure across platforms such as VMware and Hyper-V to meet operational and business needs.<br>• Provide technical support for Azure and Microsoft 365 environments, helping maintain connectivity and functionality across hybrid systems.<br>• Contribute to cloud adoption efforts by assisting with hybrid deployments and migration-related infrastructure tasks.<br>• Monitor server performance, patch compliance, and overall platform reliability, taking action to resolve issues before they impact users.<br>• Handle complex troubleshooting for escalated server and infrastructure incidents, identifying root causes and restoring service efficiently.<br>• Strengthen operational resilience by improving automation, backup procedures, and disaster recovery readiness.<br>• Keep technical documentation current and establish configuration standards that promote consistency, security, and scalability.
We are looking for an experienced Sr. Software Engineer to join a real estate and property organization in Reston, Virginia. This role will help create and maintain enterprise-grade software solutions that support core business operations, with a strong emphasis on scalable architecture, reliable integrations, and modern application development. The ideal candidate brings deep experience across Microsoft Dynamics 365, backend engineering in C# and .NET, and front-end development using contemporary web technologies.<br><br>Responsibilities:<br>• Design and deliver enterprise software solutions that support business-critical functions and scale effectively as operational needs grow.<br>• Develop, customize, and maintain Microsoft Dynamics 365 applications, ensuring they align with business requirements and integrate smoothly with connected platforms.<br>• Build and support backend services and application components using C#, .NET, and ASP.NET with a focus on performance, stability, and maintainability.<br>• Create responsive user-facing features using JavaScript and React.js to improve usability and overall application experience.<br>• Implement integrations between Dynamics 365 and other enterprise systems to enable consistent data flow and streamlined processes.<br>• Troubleshoot production issues, resolve defects, and optimize existing applications to improve reliability and efficiency.<br>• Collaborate with cross-functional stakeholders to translate technical and operational needs into well-structured software solutions.<br>• Contribute to application configuration, enhancement planning, and ongoing support for enterprise platforms throughout the software lifecycle.
<p>We are looking for an experienced Data Engineer for a full time opportunity in Northern, Virginia. In this role, you will design reliable data solutions that support analytics and business decision-making while helping improve the overall data environment. The ideal candidate brings strong technical depth in modern data engineering practices and enjoys building scalable systems from the ground up.</p><p><br></p><p>Responsibilities:</p><p>• Design, develop, and maintain robust data pipelines that collect, transform, and deliver high-quality data for reporting and analysis.</p><p>• Create and optimize data models that support business intelligence, analytics, and operational use cases across the organization.</p><p>• Build and manage ETL workflows using Python and related technologies to ensure efficient movement of data between systems.</p><p>• Work with large-scale data processing tools such as Apache Spark and Hadoop to handle complex and high-volume datasets.</p><p>• Integrate streaming and batch data sources using technologies such as Apache Kafka to support timely and reliable data availability.</p><p>• Collaborate with analysts, engineers, and business stakeholders to translate data needs into scalable engineering solutions.</p><p>• Improve data warehouse performance, structure, and reliability to support accurate and accessible enterprise data.</p><p>• Use dbt and other modern data transformation practices to organize, test, and document datasets effectively.</p>
We are looking for an experienced Full Stack Senior Software Engineer to join a growing team in Reston, Virginia. This role is ideal for someone who enjoys creating robust, business-focused software solutions and can contribute across both front-end and back-end development. You will help build scalable applications, work with modern Microsoft technologies, and collaborate with cross-functional partners to deliver high-quality products.<br><br>Responsibilities:<br>• Design, develop, and enhance full-stack software solutions using C#, .NET, ASP.NET, JavaScript, and React.js.<br>• Build reliable enterprise applications that emphasize scalability, maintainability, and strong overall performance.<br>• Create data-centric features that connect effectively with databases, external APIs, and related service layers.<br>• Partner with product managers and business stakeholders to translate business needs into practical technical solutions.<br>• Contribute to application architecture decisions and support the adoption of cloud-based development approaches.<br>• Write clean, well-structured code and participate in testing, troubleshooting, and ongoing system improvements.
<p><strong>Machine Learning Engineer</strong></p><p><strong>Pay: </strong>$70-75/hr, available solely on W2 Basis</p><p><strong>Consultant I (Contractor)</strong></p><p><strong>Work Location:</strong> Remote</p><p><strong>Engagement Type: </strong>34 Week Contract, Potential for Extension or Conversion</p><p><strong>Position Overview</strong></p><p>We are seeking a Machine Learning Engineer to support the design, development, and optimization of machine learning solutions for real‑world applications. This role focuses on model development, data pipeline construction, and performance evaluation within a collaborative engineering environment.</p><p><strong>Key Responsibilities</strong></p><ul><li>Design, build, train, and evaluate machine learning and deep learning models for production and analytical use cases</li><li>Develop and maintain scalable data pipelines for data collection, cleaning, transformation, and ingestion</li><li>Conduct experiments and analyze performance metrics such as accuracy, recall, and AUC</li><li>Optimize models for performance, speed, reliability, and scalability</li><li>Collaborate with cross‑functional teams to support data‑driven solutions</li></ul>
<p>We are looking for an experienced Engineering Manager to oversee and enhance engineering functions within a chemical manufacturing environment. This role is integral to ensuring operational excellence, compliance with safety standards, and the successful execution of capital projects. The position is based in Glen Rock, Pennsylvania, and offers an opportunity to lead a multidisciplinary team in driving innovation and reliability.</p><p><br></p><p>Responsibilities:</p><p>• Provide leadership and guidance to a team of engineers across multiple disciplines, fostering attention to detail and strong performance.</p><p>• Define engineering priorities, allocate resources effectively, and align team efforts with organizational safety, production, and capital objectives.</p><p>• Oversee the planning and execution of capital projects, including budgeting, scheduling, contractor management, and commissioning.</p><p>• Drive process improvement initiatives to enhance yield, throughput, energy efficiency, and cost-effectiveness.</p><p>• Ensure strict compliance with safety, environmental, and regulatory standards applicable to chemical manufacturing.</p><p>• Collaborate with operations and maintenance teams to improve equipment reliability, minimize downtime, and support continuous improvement.</p><p>• Lead risk assessments, process hazard analyses (PHAs), and incident investigations to enhance workplace safety.</p><p>• Review and approve technical designs, specifications, and other engineering documentation to ensure quality and accuracy.</p><p>• Manage the engineering department budget, including planning for capital expenditures and operational expenses.</p><p>• Contribute to long-term site strategies, including technology upgrades, facility expansions, and modernization efforts.</p>
We are looking for an experienced Business Intelligence Engineer to lead and elevate our enterprise analytics environment in Reston, Virginia. This role is ideal for a hands-on technical expert who can shape data strategy, deliver trusted reporting, and partner with senior stakeholders to turn complex information into clear business direction. You will influence how analytics are governed, prioritized, and scaled while helping expand the use of AI-driven solutions across reporting and decision support.<br><br>Responsibilities:<br>• Lead the design, development, and ongoing optimization of the organization’s analytics ecosystem across cloud data platforms, reporting solutions, and integrated data services.<br>• Build and maintain reliable data pipelines, structured data models, and system integrations that support accurate, scalable, and timely business intelligence delivery.<br>• Create and enhance Power BI dashboards and semantic models, with attention to usability, performance, security, and content governance.<br>• Partner with executive, finance, operations, and clinical leadership to define meaningful KPIs, refine business questions, and translate analytical needs into actionable solutions.<br>• Establish practical standards for data governance, documentation, prioritization, and delivery to ensure analytics work is consistent, transparent, and sustainable.<br>• Design and implement AI-enabled analytics tools such as natural-language query experiences, retrieval-based applications, or agent-driven workflows that improve access to insights.<br>• Evaluate AI solutions for safety, reliability, accuracy, and cost efficiency, and apply appropriate controls to support responsible adoption.<br>• Serve as the senior technical owner for analytics initiatives, working independently while coordinating with contractors or external partners when specialized support is needed.
<p>Overview</p><p>We are seeking a <strong>Senior Cloud & Infrastructure Engineer (Azure)</strong> to lead the design, implementation, and support of secure, scalable, and resilient cloud infrastructure environments. This role is ideal for a hands-on engineer with deep Microsoft Azure expertise and a strong background in production cloud operations, infrastructure reliability, and disaster recovery.</p><p>The Senior Cloud & Infrastructure Engineer will play a key role in building and maintaining modern Azure environments, with a focus on networking, security, identity, backup, and recovery strategies. This individual will collaborate closely with cross-functional teams to ensure cloud platforms are optimized, secure, and aligned with business needs.</p><p>Key Responsibilities</p><ul><li>Design, implement, and support Azure-based infrastructure solutions for production environments</li><li>Manage and optimize cloud infrastructure with a focus on performance, availability, scalability, and security</li><li>Support Azure networking, identity, and security configurations, including private and hybrid connectivity models</li><li>Maintain and enhance backup, recovery, and disaster recovery solutions across cloud infrastructure</li><li>Troubleshoot complex infrastructure and cloud-related issues in production environments</li><li>Partner with application, security, and operations teams to support modern platforms hosted in Azure</li><li>Contribute to infrastructure standards, architecture decisions, and operational best practices</li><li>Implement and support secure cloud designs that align with organizational compliance and security requirements</li><li>Develop and maintain infrastructure automation and repeatable deployment processes where applicable</li><li>Provide technical leadership and guidance on cloud infrastructure strategy and operational excellence</li></ul><p><br></p>