<p><strong>Overview</strong></p><p>We are seeking a hands-on, customer-focused Network Services Response Technician to provide frontline IT support across a dynamic, event-driven enterprise environment. This role supports both daily operations and high-visibility sporting and city events, ensuring all technology functions seamlessly when it matters most. You will be responsible for troubleshooting a wide range of devices and systems, managing support requests through a ticketing system, and delivering exceptional in-person service to end users. This position is ideal for someone who thrives in fast-paced environments, enjoys hands-on technical work, and is flexible to support evenings or weekends based on event schedules while maintaining a consistent 40-hour work week.</p><p><br></p><p><strong>Responsibilities</strong></p><ul><li>Provide deskside and end-user support for hardware, software, and connectivity issues</li><li>Build, image, configure, and deploy desktops, laptops, and mobile devices</li><li>Troubleshoot and support technologies including cameras, projectors, AV systems, entry/access systems, and IoT devices</li><li>Manage and resolve support tickets in a high-volume environment (team handles ~40 tickets/day)</li><li>Prioritize and respond to issues based on urgency, especially during live events</li><li>Support sporting events and other on-site operations, ensuring all technology is fully functional</li><li>Maintain accurate documentation, asset tracking, and inventory records</li><li>Collaborate with team members and escalate issues as needed to ensure timely resolution</li><li>Assist with system monitoring and general IT operations support</li></ul>
<p>We are proactively building a pipeline of Security & Identity Engineers for upcoming enterprise opportunities. This role focuses on enhancing security across identity, endpoint protection, email security, and network access.</p><p><br></p><p><strong>Key Responsibilities</strong></p><ul><li>Design and implement identity and access controls, including Conditional Access</li><li>Administer Microsoft security tools, including Defender and Purview</li><li>Support data governance and compliance initiatives</li><li>Manage email security platforms such as Proofpoint</li><li>Monitor risks related to Shadow IT/AI usage</li><li>Support network security modernization efforts, including Zscaler</li><li>Manage PKI and certificate lifecycle processes</li><li>Collaborate on security improvements, audits, and incident response</li></ul>
<p>We are currently seeking a Data Engineer for a contract opportunity supporting a growing data and analytics organization. This role is focused on building and maintaining modern cloud-based data infrastructure, including scalable ELT pipelines, Snowflake data solutions, and automated data workflows.</p><p>This is a hands-on engineering role where you will design, develop, and support end-to-end data systems that enable reliable reporting, analytics, and business decision-making.</p><p><strong>Key Responsibilities:</strong></p><ul><li>Design, build, and maintain scalable ELT/ETL data pipelines and workflows</li><li>Develop and optimize Snowflake-based data warehouse solutions</li><li>Build and maintain data models and transformation logic to support analytics and reporting</li><li>Write efficient and high-quality Python and SQL code to support data engineering processes</li><li>Develop reusable data engineering frameworks and backend data services</li><li>Implement and maintain CI/CD pipelines using GitHub and related tooling</li><li>Build automated testing frameworks to ensure data quality and reliability</li><li>Create reporting and visualization solutions using tools such as Power BI</li><li>Monitor production data systems and resolve performance or reliability issues</li><li>Support continuous improvement of data architecture, processes, and standards</li></ul>
<ul><li>Design, develop, and optimize data pipelines using Azure Data Services (Azure Data Factory, Azure Data Lake Storage, Azure Synapse).</li><li>Build and maintain scalable ETL/ELT workflows using Databricks (Spark, PySpark, Delta Lake).</li><li>Implement and manage data orchestration and dependency management using Dagster or similar tools.</li><li>Partner with analytics, data science, and product teams to ensure reliable, high-quality data availability.</li><li>Optimize data models and storage strategies for performance, scalability, and cost efficiency.</li><li>Ensure data quality, observability, and reliability through monitoring, logging, and automated validation.</li><li>Support CI/CD pipelines and infrastructure-as-code practices for data platforms.</li><li>Enforce data security, governance, and compliance best practices within Azure.</li></ul>