We are looking for an experienced Data Center Technician to join our team in Ashburn, Virginia. In this role, you will play a critical part in managing and maintaining infrastructure installations, ensuring reliability and efficiency in operations. This is a long-term contract position that offers the opportunity to work on diverse projects and collaborate with various teams to deliver high-quality results.<br><br>Responsibilities:<br>• Oversee infrastructure installation requests from initiation through completion, ensuring all objectives are met.<br>• Conduct certifications of network connections and peripherals prior to deployment.<br>• Coordinate with contractors to manage power remediation projects and ensure Service Levels are consistently achieved.<br>• Provide detailed project estimates, interpreting schematics and drawings, and documenting requirements through collaboration with IT and project management teams.<br>• Handle the creation, approval monitoring, and closure of work tickets and TCMs.<br>• Assist in rack-level capacity management and monitor infrastructure performance.<br>• Participate in meetings related to infrastructure projects and provide input on ongoing initiatives.<br>• Generate Root Cause Analysis reports for power issues and implement corrective measures.<br>• Manage infrastructure installations, including power surveys, cabling setups, and new data center build-outs.<br>• Oversee equipment procurement processes, including ordering materials, tracking purchase orders, and managing inventory.
<p>We are seeking an experienced Deskside Support Technician (Tier II) to provide high‑quality technical support across multiple Federal offices. This role supports critical agency operations by ensuring reliable workstation performance, rapid issue resolution, and exceptional customer engagement for both standard users and senior leadership.</p><p>The ideal candidate brings strong Tier II troubleshooting skills, deep familiarity with Windows enterprise environments, and the ability to deliver timely, professional support in a customer‑focused, mission‑driven setting. This position requires working independently across multiple buildings, prioritizing tickets based on urgency and impact, and maintaining meticulous documentation in an ITSM system.</p><p><br></p><p><strong>Key Responsibilities:</strong></p><p>· Provide deskside support for DOJ users, responding to dispatched tickets and walk-up issues with professionalism and urgency.</p><p>· Perform break/fix repair on laptops, desktops, and related hardware, including hard drive and battery replacements.</p><p>· Install and configure specialty software applications not distributed through SCCM.</p><p>· Remove or disable devices on the network at the direction of Security.</p><p>· Troubleshoot and resolve printer issues, including diagnosing hardware faults and installing toner.</p><p>· Deliver “white glove” support to DOJ senior management and leadership offices with timely, polished, and customer-first execution.</p><p>· Maintain accurate, up-to-date documentation within the ITSM ticketing system to meet SLA and performance reporting standards.</p><p>· Work across multiple Washington, DC buildings independently, managing daily priorities without direct oversight.</p><p>· Support standard DOJ technology environments including Windows 10, Microsoft Office, Exchange/Outlook, and common enterprise productivity tools.</p>
<p>I’m building a world-class team to power our next generation of data products. We’re looking for a Senior Data Engineer who knows AWS inside and out—someone who can <strong>design secure, scalable data pipelines</strong>, <strong>own ETL/ELT workflows</strong>, <strong>engineer cloud data infrastructure</strong>, and <strong>deliver dimensional and semantic models</strong> that our analysts, data scientists, and applications can trust.</p><p>You’ll work closely with product, security, platform engineering, and analytics to move our architecture toward a <strong>real-time, governed, cost-aware</strong>, and <strong>highly automated</strong> data ecosystem.</p><p><strong>What You’ll Do</strong></p><ul><li><strong>Design & build end-to-end pipelines</strong> on AWS (batch and streaming) using services like <strong>Glue, EMR, Lambda, Step Functions, Kinesis, MSK</strong>, and <strong>Fargate</strong>.</li><li><strong>Develop robust ETL/ELT</strong> (PySpark, Spark SQL, SQL, Python) for structured, semi-structured, and unstructured data at scale.</li><li><strong>Own data storage & processing layers</strong>: <strong>S3 (Lake/Lakehouse), Redshift (or Snowflake on AWS), DynamoDB</strong>, and <strong>Athena</strong> with strong partitioning, compaction, and performance tuning.</li><li><strong>Implement data models</strong> (3NF, dimensional/star, Data Vault, Lakehouse medallion) for analytics and operational workloads.</li><li><strong>Engineer secure infrastructure-as-code</strong> with <strong>Terraform</strong> (or <strong>CDK</strong>) across multi-account setups; implement CI/CD via <strong>GitHub Actions</strong> or <strong>AWS CodeBuild/CodePipeline</strong>.</li><li><strong>Harden security & governance</strong>: use <strong>IAM</strong>, <strong>Lake Formation</strong>, <strong>KMS</strong>, <strong>Secrets Manager</strong>, <strong>VPC/PrivateLink</strong>, <strong>GLUE Catalog</strong>, and fine-grained access controls. Partner with SecOps on compliance (e.g., <strong>SOC 2</strong>, <strong>FedRAMP</strong>, <strong>HIPAA</strong> depending on dataset).</li><li><strong>Observability & reliability</strong>: build monitoring with <strong>CloudWatch</strong>, <strong>OpenTelemetry</strong>, and data quality checks (e.g., <strong>Great Expectations</strong>, <strong>Deequ</strong>), implement SLOs and alerts.</li><li><strong>Champion best practices</strong>: code reviews, testing (unit/integration), documentation, runbooks, and blameless postmortems.</li><li><strong>Mentor</strong> mid-level engineers and collaborate on architectural decisions, standards, and technical roadmaps.</li></ul><p><br></p>
<p>Since it’s 2026, the Data Engineering landscape in DC has shifted heavily toward <strong>Cloud-Native architectures</strong> and <strong>GenAI-ready pipelines</strong>. Robert Half typically recruits for both their internal corporate teams and their high-end consulting arm (Protiviti).</p><p>Here is a tailored job description based on current 2026 market standards and Robert Half’s specific hiring trends in the District.</p><p><br></p><p>Job Title: Data Engineer</p><p><strong>Location:</strong> Washington, DC (Hybrid – Downtown DC Office)</p><p><strong>Company:</strong> Robert Half </p><p><strong>Employment Type: </strong>Contract-to-Hire</p><p>Role Overview</p><p>As a Data Engineer at Robert Half, you will be the backbone of our data-driven decision-making process. You aren't just "moving data"; you are architecting the flow of information that powers our localized market analytics and global recruitment engines. In the DC market, this often involves handling high-compliance data environments and integrating cutting-edge AI frameworks into traditional ETL workflows.</p><p><br></p><p><br></p>
We are looking for a skilled Data Engineer to join our team in Washington, District of Columbia. In this role, you will play a key part in designing and implementing secure, scalable solutions to support data and analytics initiatives. This is a long-term contract position, offering the opportunity to work with cutting-edge technologies and contribute to impactful projects.<br><br>Responsibilities:<br>• Develop, test, and maintain robust data pipelines and engineering solutions to support analytics and integrate new data sources.<br>• Collaborate with team members, stakeholders, and external vendors to evaluate and implement reliable, scalable, and secure technologies.<br>• Create efficient, automated processes to handle repetitive data management tasks.<br>• Conduct targeted data manipulation and analysis across diverse datasets.<br>• Implement advanced security measures within data warehouses and analytics platforms to counter evolving threats.<br>• Document technical processes and solutions to ensure seamless collaboration and knowledge sharing.<br>• Monitor and optimize system performance to ensure scalability and reliability.<br>• Stay updated on emerging data engineering trends and incorporate them into workflows.
<p><strong>Public Trust Clearance</strong> (MUST CURRENTLY HOLD OR HAVE THE ABILITY TO OBTAIN) </p><p><strong>Enterprise Architect – Cloud</strong></p><p><strong>Location:</strong> Washington, DC (Hybrid/Remote)</p><p><strong>Duration: </strong>6 month contract, with potential for extension or conversion </p><p><strong>Pay: </strong>Available on W2 </p><p><strong>Overview</strong></p><p>We are seeking an experienced <strong>Enterprise Architect – Cloud</strong> to lead the design, modernization, and implementation of cloud-based architectures across a large-scale enterprise environment. This role is responsible for shaping cloud strategy, guiding migration initiatives, developing architectural roadmaps, and ensuring cloud solutions align with organizational goals and industry best practices.</p><p>This position is hybrid with work performed in the Washington, DC area. Public Trust screening is required. The Public Trust process for this program may take up to three months and includes a personal disclosure review and a soft credit check.</p><p><strong>Key Responsibilities</strong></p><ul><li>Lead the design and implementation of enterprise-level cloud architecture strategies aligned with organizational goals.</li><li>Develop scalable, secure, and high-performing cloud solutions using primarily <strong>Microsoft Azure</strong> with potential involvement in AWS, Google Cloud, or other providers.</li><li>Establish and maintain the cloud architecture roadmap in alignment with business and IT priorities.</li><li>Provide expert guidance on cloud adoption, cloud-native development, and enterprise cloud governance.</li><li>Oversee and guide migrations of legacy and on-premises applications, systems, and workloads to modern cloud platforms.</li><li>Architect hybrid and multi-cloud solutions integrating cloud services with on-premises infrastructure.</li><li>Drive adoption of <strong>Infrastructure as Code (IaC)</strong> practices using tools such as Terraform.</li><li>Partner with senior leadership and technical teams to provide architectural direction and recommendations.</li><li>Ensure teams follow Agile, DevOps, and CI/CD methodologies when designing and deploying cloud applications.</li><li>Stay current with emerging cloud technologies, industry advancements, and best practices to support continuous improvement.</li></ul>