<p>We are looking for a Hardware Engineer / Deskside Support Technician to provide onsite technical support in a high-availability enterprise environment supporting a federal agency. This role is responsible for performing hands-on desktop support, hardware deployment, and system troubleshooting across Windows-based devices.</p><p>This position supports hardware products and systems through installation, maintenance, testing, and troubleshooting activities. Work includes deploying new systems, supporting end users, and ensuring devices meet operational and security requirements. The role requires collaboration across Tier 2 and Tier 3 teams and includes both routine operational support and participation in system upgrades, testing, and process improvements.</p><p>The ideal candidate is customer-focused, detail-oriented, and capable of working independently under limited supervision while contributing to team objectives.</p><p><br></p><p><strong>Key Responsibilities:</strong></p><p>· Provide Tier 2 deskside support for desktops, laptops, and related hardware in a Windows 10/11 environment</p><p>· Perform break/fix support, troubleshooting hardware/software issues, and resolving user tickets</p><p>· Deploy, configure, and image Dell laptops and desktops for end users</p><p>· Utilize ServiceNow (or similar ITSM tools) for ticket tracking, documentation, and CMDB updates</p><p>· Support patching, system updates, and ensure endpoint compliance with security requirements</p><p>· Coordinate with Tier 3 teams on escalations, upgrades, and major incidents</p><p>· Assist with asset management, procurement support, and hardware lifecycle activities</p><p>· Participate in disaster recovery (DR/COOP) exercises and provide onsite support</p><p>· Perform system maintenance tasks including backups, upgrades, and recovery procedures</p><p>· Provide clear communication and status updates to stakeholders and end users</p><p>· Support occasional after-hours/on-call activities as needed</p>
<p>Data Engineer – Databricks / Azure / AI Analytics</p><p><br></p><p>You must be able to obtain and maintain a public trust clearance,</p><p><br></p><p>Position Overview</p><p>We are seeking a highly capable Data Engineer to design and support scalable data pipelines and analytics environments within a cloud-based Azure data platform. This role focuses on building modern data solutions using Databricks, Spark, and distributed data architectures, supporting enterprise-level analytics and AI initiatives.</p><p>The ideal candidate brings hands-on expertise in Databricks engineering, cloud data pipelines, and data integration, along with strong collaboration skills to translate business requirements into technical solutions. This position offers the opportunity to work on large-scale data platforms and support advanced analytics and AI-driven workloads.</p><p><br></p><p>Key Responsibilities</p><p>Data Engineering & Pipeline Development</p><ul><li>Design, build, and optimize data pipelines using Databricks and Spark</li><li>Implement Medallion architecture and scalable data processing workflows</li><li>Develop ingestion pipelines for structured, streaming, and unstructured datasets</li></ul><p>Cloud & Platform Integration</p><ul><li>Work with Azure services (Data Factory, Storage, Functions, Log Analytics)</li><li>Integrate data across multiple sources to enable high-quality analytics</li><li>Support hybrid cloud initiatives and evolving data platforms</li></ul><p>Data Management & Optimization</p><ul><li>Ensure data quality, integrity, and accessibility across systems</li><li>Monitor pipeline performance and optimize cost, scalability, and efficiency</li><li>Support data governance, cataloging, and compliance standards</li></ul><p>Platform Operations & Support</p><ul><li>Troubleshoot performance issues, cluster stability, and configuration management</li><li>Support end-user requests and provide front-line platform support</li><li>Implement monitoring, logging, and alerting solutions</li></ul><p>DevOps & Automation</p><ul><li>Develop and maintain CI/CD pipelines and infrastructure-as-code (IaC)</li><li>Automate deployment and data workflows for improved efficiency</li><li>Support continuous delivery within Agile environments</li></ul>