We are looking for an experienced Data Engineer to join a long-term contract engagement in Colorado. This position centers on designing and improving cloud-based data solutions that support enterprise analytics and AI-driven initiatives. The role is ideal for a hands-on, detail-oriented individual who excels in preparing reliable, scalable data assets and partnering with technical teams in a modern Microsoft-focused environment.<br><br>Responsibilities:<br>• Design, develop, and enhance scalable data pipelines to support enterprise reporting, analytics, and AI use cases.<br>• Transform, cleanse, and organize complex data from multiple sources so it can be used effectively by downstream engineering and machine learning teams.<br>• Build and maintain robust data workflows in a cloud-based ecosystem using Microsoft Fabric, Synapse Analytics, Azure Data Factory, and Databricks.<br>• Collaborate with data engineers, ML engineers, and other technical stakeholders to create efficient and dependable data architecture.<br>• Monitor pipeline performance and resolve issues related to data quality, reliability, and processing efficiency across platforms.<br>• Orchestrate data ingestion, movement, and transformation processes for large-volume datasets in a backend-focused engineering environment.<br>• Support AI and machine learning initiatives by delivering well-structured datasets optimized for model development and operational use.<br>• Contribute to scalable lakehouse or warehouse-oriented data solutions while helping align engineering practices with cloud data best practices.
<p><strong>Quality Assurance Engineer II</strong></p><p><strong>Employment Type:</strong> Contract through 12/31/26, Potential for Extension</p><p><strong>Location:</strong> Centennial, CO Onsite/Hybrid</p><p><strong>Pay: </strong>Available on W2 only</p><p><br></p><p><strong>Position Overview</strong></p><p>This role is focused on QA testing for cable TV and broadband products, supporting lab environments and infrastructure while executing manual testing and contributing to light scripting/automation efforts. The ideal candidate will have experience with RF technologies, networking fundamentals, and hands-on testing in a lab or hardware-focused environment.</p><p><br></p><p><strong>Key Responsibilities</strong></p><p>• Support and maintain QA lab environments and test infrastructure</p><p>• Execute manual test cases and validate product functionality</p><p>• Identify, document, and track defects in Jira</p><p>• Develop basic scripts to support automation efforts</p><p>• Create test reports and analyze results across test cycles</p><p>• Collaborate with QA and development teams to validate releases</p>