<p>NETWORK ENGINEERS: Ready to architect what’s next?</p><p><br></p><p>If you’re a Principal, Lead, or Senior Network Engineer who has outgrown simply keeping the network running, this is an opportunity to influence how a global enterprise network is designed, modernized, and scaled.</p><p><br></p><p>We’re looking for a Network Architect to serve as a senior technical authority across a large-scale, globally distributed environment.</p><p><br></p><p>What makes this role compelling:</p><p>• Own enterprise network architecture, engineering, performance, and reliability</p><p>• Lead major initiatives around SD-WAN, cloud networking, hybrid infrastructure, and automation</p><p>• Work across AWS, Azure, GCP and/or OCI</p><p>• Architect enterprise-scale BGP, OSPF, EIGRP, LAN/WAN, data center and firewall environments</p><p>• Drive network automation using Python, Ansible and orchestration technologies</p><p>• Influence technology strategy alongside senior IT, cloud, security, and infrastructure leaders</p><p>• Mentor engineers and establish architecture standards and best practices</p><p>• Serve as the senior escalation point for complex, high-impact network issues</p><p><br></p><p>This is a role for someone who wants to design the future of the network—not just troubleshoot the present.</p><p>Interested?</p><p><br></p><p>Apply Now and Direct Message Reid Gormly on LinkedIn</p><p><br></p><p>#NetworkEngineer #PrincipalEngineer #NetworkEngineering #CloudNetworking #SDWAN #Cisco #AWS #Azure #NetworkingJobs #LosAngelesJobs</p>
<p>We are looking for an AWS Senior Data Engineer to join a long-term contract opportunity supporting data initiatives within the automotive industry in Southern California. In this role, you will build and enhance cloud-based data pipelines that power analytics, reporting, and operational decision-making. The position requires strong hands-on experience with AWS data services, scalable processing frameworks, and modern engineering practices to deliver reliable and efficient data solutions. </p><p><br></p><p>Responsibilities:</p><p>• Build, deploy, and support end-to-end data pipelines using AWS services such as Glue, Lambda, Redshift, S3, Athena, and Airflow-based orchestration tools.</p><p>• Create scalable data processing solutions with Python, PySpark, and Apache Spark to manage large and complex datasets efficiently.</p><p>• Develop extraction, transformation, and loading workflows that move data accurately into target platforms for reporting and downstream consumption.</p><p>• Implement data quality controls, validation routines, and exception handling to improve reliability and maintain trusted datasets.</p><p>• Tune pipeline performance and refine SQL and Redshift workloads to meet service expectations for speed, scalability, and cost efficiency.</p><p>• Partner with analysts, technical teams, and business stakeholders to convert data needs into practical engineering designs and production-ready solutions.</p><p>• Maintain clear technical documentation for pipeline logic, data flows, operational processes, and system specifications.</p><p>• Ensure data integration activities align with governance standards, compliance expectations, and established engineering best practices.</p><p>• Provide ongoing production support for deployed data solutions and address issues affecting pipeline stability or data availability.</p>