<p><strong>Client </strong>= Large Restaurant Chain</p><p><strong>Company Size</strong> = 50k+</p><p><strong>Years in Business</strong> = 50+</p><p><strong>Comp Range</strong> = Up to $160k</p><p><strong>Job Type </strong>= Permanent Full-Time Employment</p><p><strong>O/H/R</strong> = Hybrid Onsite (4x per week)</p><p><br></p><p><strong><em><u>Position Summary</u></em></strong></p><p>Seeking a Senior Network Engineer with strong enterprise-level experience in a primarily networking-focused role. R<strong><em><u></u></em></strong>esponsible for ensuring the network is operating optimally so associates can always access the network with sufficient speed and capacity. This position configures routers, switches, and firewalls to maximize efficiency and ensure reliable operation for fulfilling business objectives. The Senior Network Engineer also ensures patches and firmware are applied to the network to guarantee proper functioning and availability of new functionality. This position oversees all network-related projects and serves as the technical lead for the Disaster Recovery Project. The Senior Network Engineer also conducts research on network infrastructure products, services, and protocols to remain abreast of the development in the networking industry.</p>
<p><strong>Our client is seeking a Senior AWS Data Engineer for a long term, multi-year assignment.</strong></p><p><br></p><p><strong>This role is onsite 4 days/week in Torrance, CA. </strong></p><p><br></p><p>This role is to support and enhance enterprise business intelligence and analytics environments. This role focuses on designing, building, and maintaining scalable data pipelines and cloud‑based data platforms using AWS services. The ideal candidate brings deep hands‑on experience with AWS Glue, PySpark, Redshift, and serverless architectures, along with strong SQL and data analysis skills.</p><p>This role will collaborate closely with architecture, security, compliance, and development teams to ensure data solutions are performant, secure, and compliant with regulatory requirements.</p><p><br></p><p>Key Responsibilities</p><ul><li>Design, build, and maintain scalable ETL/ELT pipelines using AWS Glue with PySpark for large‑scale data processing</li><li>Develop and support serverless integrations using AWS Lambda for event‑driven workflows and system integrations</li><li>Design and optimize Amazon Redshift data warehouse solutions, including:</li><li>Advanced SQL analytics</li><li>Stored procedures</li><li>Performance tuning</li><li>Lead implementation of secure vendor file transfer and ingestion solutions using AWS Transfer Family</li><li>Design and implement database migration and replication pipelines using AWS Database Migration Service (DMS)</li><li>Build and manage workflow orchestration using Apache Airflow or similar orchestration tools</li><li>Analyze data quality, transformation logic, and pipeline performance using SQL and data analysis techniques</li><li>Troubleshoot and resolve production data pipeline and integration issues across AWS services</li><li>Provide technical guidance to development team members on:</li><li>AWS best practices</li><li>Cost optimization</li><li>Performance optimization</li><li>Partner with enterprise architecture, security, and compliance teams to ensure SOX and regulatory compliance</li></ul>