AWS Data Engineer

We are seeking an experienced AWS Data Engineer to support a client-facing engagement focused on building scalable cloud-based data solutions. This consultant will design, develop, and optimize data pipelines that transform raw data into trusted, analytics-ready datasets while partnering with internal teams and client stakeholders. Required: Onsite 3 days a week in Seattle WA The ideal candidate has data engineering experience and deep expertise with AWS data services, including building ETL/ELT pipelines, designing cloud-based storage solutions, and supporting enterprise analytics initiatives. This individual should be comfortable partnering directly with clients, translating business requirements into technical solutions, and delivering high-quality data assets in a fast-paced environment. Key Responsibilities • Build and maintain scalable data pipelines using AWS services. • Design and manage cloud-based data storage, databases, and data warehouses. • Transform, cleanse, and optimize data for reporting, analytics, and downstream applications. • Collaborate with client stakeholders, analysts, data scientists, and engineering teams. • Monitor, troubleshoot, and optimize data pipeline performance. • Document technical designs, processes, and best practices. • Participate in client meetings and provide technical guidance throughout engagements. Qualifications • Data engineering experience. • Strong expertise with AWS data services and cloud-native architectures. • Experience building and maintaining ETL/ELT pipelines. • Experience designing and supporting data warehouses, databases, and analytics platforms. • Ability to translate business requirements into scalable technical solutions. • Strong communication and stakeholder management skills. • Experience working in client-facing or consulting environments preferred.