Add your latest resume to match with open positions.

5 results for Cybersecurity Engineer in Washington, DC

Systems Engineer

Baltimore, MD
onsite
Permanent / Full Time
80000 - 100000 USD / Yearly
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. Responsibilities: • Oversee daily administration of Windows and Linux servers to ensure dependable performance, availability, and system health. • Manage core identity and policy services, including Active Directory and Group Policy, while maintaining secure and consistent access controls. • Support and maintain virtual infrastructure across platforms such as VMware and Hyper-V to meet operational and business needs. • Provide technical support for Azure and Microsoft 365 environments, helping maintain connectivity and functionality across hybrid systems. • Contribute to cloud adoption efforts by assisting with hybrid deployments and migration-related infrastructure tasks. • Monitor server performance, patch compliance, and overall platform reliability, taking action to resolve issues before they impact users. • Handle complex troubleshooting for escalated server and infrastructure incidents, identifying root causes and restoring service efficiently. • Strengthen operational resilience by improving automation, backup procedures, and disaster recovery readiness. • Keep technical documentation current and establish configuration standards that promote consistency, security, and scalability.
2026-09-01T00:00:00Z

Machine Learning Engineer

Herndon, VA
remote
Temporary / Contract
70 - 75 USD / Hourly
Machine Learning EngineerPay: $70-75/hr, available solely on W2 BasisConsultant I (Contractor)Work Location: RemoteEngagement Type: 34 Week Contract, Potential for Extension or ConversionPosition OverviewWe 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.Key Responsibilities<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>
2026-09-03T00:00:00Z

Network Engineer II

Washington, DC
onsite
Temporary / Contract
45 - 55 USD / Hourly
We are looking for a Network Engineer II to support enterprise network initiatives and deliver reliable engineering solutions across a diverse portfolio of programs. This long-term contract position is ideal for someone who is detail oriented and can apply strong technical judgment throughout the full engineering lifecycle, from analysis and design through testing and deployment. The role requires an individual who can work with limited supervision, collaborate with stakeholders, and help maintain performance, security, and operational continuity in complex network environments. Responsibilities: • Provide network engineering support across multiple programs, ensuring infrastructure solutions align with technical objectives and operational needs. • Participate in the complete system engineering process by translating requirements into network designs, supporting development activities, validating performance, and assisting with implementation. • Assess existing network environments, identify improvement opportunities, and recommend technologies or design changes that strengthen capability, reliability, and security. • Analyze technical issues of moderate complexity, apply sound engineering methods, and resolve problems while balancing schedule, performance, and customer expectations. • Monitor project milestones and service outcomes to help ensure network deliverables are completed on time and in accordance with established standards. • Work closely with customers, internal teams, and peer groups to coordinate activities, communicate technical information clearly, and build cooperation across functions. • Contribute to the refinement of engineering practices, procedures, and policy recommendations that support effective network operations and organizational goals. • Provide guidance to less experienced team members when needed, share technical knowledge, and assist in maintaining consistent execution across assigned tasks.
2026-08-07T00:00:00Z

Data Engineer

Arlington, VA
onsite
Permanent / Full Time
150000 - 170000 USD / Yearly
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. Responsibilities:• Design, develop, and maintain robust data pipelines that collect, transform, and deliver high-quality data for reporting and analysis.• Create and optimize data models that support business intelligence, analytics, and operational use cases across the organization.• Build and manage ETL workflows using Python and related technologies to ensure efficient movement of data between systems.• Work with large-scale data processing tools such as Apache Spark and Hadoop to handle complex and high-volume datasets.• Integrate streaming and batch data sources using technologies such as Apache Kafka to support timely and reliable data availability.• Collaborate with analysts, engineers, and business stakeholders to translate data needs into scalable engineering solutions.• Improve data warehouse performance, structure, and reliability to support accurate and accessible enterprise data.• Use dbt and other modern data transformation practices to organize, test, and document datasets effectively.
2026-08-26T00:00:00Z

Business Intelligence (BI) Engineer

Herndon, VA
onsite
Permanent / Full Time
100000 - 125000 USD / Yearly
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. Responsibilities: • Lead the design, development, and ongoing optimization of the organization’s analytics ecosystem across cloud data platforms, reporting solutions, and integrated data services. • Build and maintain reliable data pipelines, structured data models, and system integrations that support accurate, scalable, and timely business intelligence delivery. • Create and enhance Power BI dashboards and semantic models, with attention to usability, performance, security, and content governance. • Partner with executive, finance, operations, and clinical leadership to define meaningful KPIs, refine business questions, and translate analytical needs into actionable solutions. • Establish practical standards for data governance, documentation, prioritization, and delivery to ensure analytics work is consistent, transparent, and sustainable. • 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. • Evaluate AI solutions for safety, reliability, accuracy, and cost efficiency, and apply appropriate controls to support responsible adoption. • Serve as the senior technical owner for analytics initiatives, working independently while coordinating with contractors or external partners when specialized support is needed.
2026-09-01T00:00:00Z