<p><strong>Overview</strong></p><p>A leading telecommunications organization is building a new automation infrastructure to support lab‑based product testing. The team needs experienced Python Automation Engineers who can design automation frameworks from scratch, integrate with RF/network test equipment, and translate complex test cases into scalable automated test suites. This is a highly technical, hands‑on automation role focused on Python and lab instrumentation.</p><p><br></p><p><strong>Core Responsibilities</strong></p><ul><li>Develop Python‑based automation frameworks to control and coordinate lab instruments such as spectrum analyzers, signal generators, traffic generators, oscilloscopes, meters, and other RF/network equipment.</li><li>Write automated test suites for functional, performance, RF, and system validation.</li><li>Integrate with instrument APIs, SCPI command sets, VISA libraries, and vendor‑specific SDKs.</li><li>Build internal tools for test orchestration, data collection, logging, and automated reporting.</li><li>Translate engineering test requirements into executable Python automation workflows.</li><li>Support lab setup, equipment integration, and ongoing enhancements to the automation infrastructure.</li><li>Troubleshoot automation failures, communication issues, and inconsistencies in lab test environments.</li><li>Contribute to CI/CD pipelines for automated regression and continuous validation.</li><li>Ensure adherence to lab safety, calibration requirements, and quality standards.</li></ul>
We are looking for an experienced Business Intelligence (BI) Engineer to join our team in Englewood, Colorado. In this role, you will focus on developing and optimizing dashboards using Amazon QuickSight to support analytics initiatives across multiple projects. This position requires strong technical expertise, excellent communication skills, and a creative approach to dashboard design and data storytelling. This is a long-term contract opportunity within the telecom services industry.<br><br>Responsibilities:<br>• Develop enterprise-level dashboards using Amazon QuickSight to deliver actionable insights.<br>• Collaborate with stakeholders to gather and translate business requirements into reporting specifications and prototypes.<br>• Design and prototype interactive dashboards, ensuring clarity, usability, and impactful storytelling.<br>• Work alongside Data Engineering teams to define required datasets and support semantic layer needs.<br>• Utilize QuickSight Q and AI features to enhance data interpretation and guide strategic decision-making.<br>• Create calculated fields, parameters, and variables to optimize reporting functionalities.<br>• Ensure dashboards integrate both qualitative and quantitative data for comprehensive analysis.<br>• Conduct user experience (UX) design for dashboards, focusing on layout and accessibility.<br>• Support government projects requiring eligibility for federal security clearance and strict vetting processes.<br>• Communicate effectively with cross-functional teams to ensure alignment and successful project execution.