Top Data Engineer Jobs in Seattle, WA

The Google Cloud Data Engineer at PwC will design and implement data architecture, develop data pipelines, and lead projects utilizing Google Cloud services. The role involves mentoring and coaching team members while ensuring data governance and compliance, and managing client relationships effectively.

As a Senior Machine Learning Engineer, you will develop and enhance machine learning platforms and infrastructure, collaborate with stakeholders, and automate pipelines for model deployment and monitoring, ensuring high quality and scalability of ML solutions.

The Data Engineer II will design, develop, and maintain data architecture and pipelines, ensuring high-quality data for operational reporting. Responsibilities include collaborating with analytics teams, mentoring other practitioners, and implementing data engineering tools and processes in a fast-paced environment. The role also involves documentation and following agile methodologies.

In this role, you will develop and maintain machine learning algorithms for personalization on Hulu's platforms. You'll work with engineering and product teams to optimize processes and explore innovative methods for recommendations. Your responsibilities include algorithm development, feature engineering, maintaining deployment standards, and collaborating on new personalization opportunities.

The Staff Machine Learning Engineer will collaborate with product managers and engineers to design and productionize machine learning models, improve service performance, and maintain a high-quality codebase. Responsibilities include building machine learning solutions, conducting experiments, and sharing knowledge within the team.

The Machine Learning Engineer II role at Remitly involves developing machine learning models for fraud prevention in financial services. The engineer will build models for transaction risk assessment, collaborate with infrastructure teams to meet performance requirements, and work on implementing new features collaboratively with scoring engineers.

As a Principal Software Engineer in the Data Platform Group, you will develop scalable data solutions, lead architecture sessions, mentor team members, and collaborate across teams to optimize data operations and integrate emerging technologies. You will also focus on enhancing data analysis through GenAI technologies and ensure the high-quality construction of data pipelines using modern tools and best practices.