<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>
<p><strong>IAM Architect</strong></p><p><strong>Location: Onsite in Washington DC</strong></p><p><strong>Duration: 6 month contract, extensions/conversion likely</strong></p><p><br></p><p><strong><u>*CURRENT OR PREVIOUS PUBLIC TRUST CLEARANCE (OR HIGHER) IS REQUIRED*</u></strong></p><p><br></p><p>We are seeking a senior-level Identity Access Management (IAM) Architect to serve as the technical authority for enterprise identity and access management capabilities within a highly regulated federal environment. This individual will lead the design, implementation, and governance of modern IAM frameworks supporting secure authentication, authorization, compliance, and least-privilege access across hybrid cloud and on-premises environments.</p><p><br></p><p>This role is heavily focused on architecture, engineering, and strategic IAM leadership rather than program management. The ideal candidate brings deep hands-on expertise with Microsoft Entra ID, Microsoft ICAM, identity governance, privileged access controls, and Zero Trust security principles. The position partners closely with security, infrastructure, cloud, and operations teams to drive IAM modernization, ensure audit readiness, and support enterprise-scale identity services.</p><p><br></p><p><strong>Responsibilities:</strong></p><ul><li>Serve as the enterprise subject matter expert and technical lead for Identity and Access Management architecture and services.</li><li>Design and implement secure authentication and authorization solutions leveraging Microsoft Entra ID, Microsoft ICAM, and role-based access control (RBAC).</li><li>Lead integration of identity services with Microsoft 365 and enterprise applications to support identity lifecycle management and policy enforcement.</li><li>Define IAM standards, architectural patterns, and operating procedures aligned with Zero Trust and federal security requirements.</li><li>Manage identity lifecycle processes, including provisioning, deprovisioning, access changes, and account governance.</li><li>Implement and maintain multifactor authentication (MFA), conditional access, privileged identity management (PIM), privileged access management (PAM), and identity protection controls.</li><li>Establish and administer access reviews, entitlement management processes, and governance workflows to enforce least-privilege access.</li><li>Design and oversee RBAC models, access assignments, recertification efforts, and automated access-control processes.</li><li>Support compliance initiatives by creating and maintaining IAM documentation, control evidence, and audit artifacts.</li><li>Assist with audit remediation efforts, corrective action plans, and resolution of IAM-related risks and findings.</li><li>Lead troubleshooting and resolution of complex identity and access issues across hybrid enterprise environments.</li><li>Drive automation of identity provisioning, policy enforcement, reporting, and administrative processes.</li><li>Collaborate with security, cloud, endpoint, and service management teams to implement identity-dependent security controls.</li><li>Provide strategic IAM guidance, roadmap recommendations, and modernization planning to stakeholder groups.</li></ul><p><br></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.