Top Senior Level Data Engineer Jobs in Seattle, WA
As a Data Engineer Manager at PwC, you will lead the design and development of data infrastructure, manage projects to ensure their successful execution, mentor team members, and drive the adoption of innovative technologies. You will work closely with business stakeholders to translate requirements into effective data solutions, focusing on data architecture and governance.
As a Marketing Data Engineer, you will develop scalable ETL/ELT pipelines, manage cloud-based data warehouses, implement data integration solutions, and ensure data quality for analytics. Collaborating closely with various teams, you will enable machine learning initiatives and optimize data processing workflows while maintaining high data integrity across systems.
Senior Data Engineer (Data Engineer III) role at Chewy's Data Analytics team. Responsibilities include designing and optimizing data systems, managing data integration, providing collaborative leadership and mentorship, implementing innovative solutions, and developing strategic partnerships. Requirements include a Bachelor's or Master's degree in relevant fields, 5 years of data engineering experience, proficiency in SQL and Python, leadership skills, and an analytical mindset.
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The Principal Engineer, Machine Learning / AI will drive technical capabilities in ML and AI across multiple teams, mentor data scientists, lead technical standards, and advocate for best practices. The role involves hands-on development of ML/AI products and collaboration across various business units to enhance systems and products.
The role involves managing data center vendor relationships, overseeing deals from planning to execution, and collaborating with various teams to ensure effective sourcing and budget management for Cloudflare's infrastructure growth.
The Lead Machine Learning Engineer will develop, implement, and optimize recommendation algorithms for Disney's media platforms. This role involves collaborating with engineering and product teams to achieve personalization goals, maintain ETL pipelines, and ensure best practices in algorithm development. The engineer will also drive the roadmap for algorithmic projects to enhance content recommendations.
As a Staff Machine Learning Engineer, you will design, build, and productionize machine learning models to tackle various business challenges. Collaborating with product and engineering teams, you will focus on data processing, improving service performance, and sharing knowledge through discussions and presentations.
Senior AI Engineer responsible for training and tuning models using Deep Learning Machine Learning Models, Large Language Models, data engineering, and evaluation frameworks. Working on optimizing networks to better serve applications with a highly novel approach.
Lead a team of ML engineers to develop models and evaluate user and content understanding for ranking improvement. Oversee the architecture and drive rapid iteration in ML infrastructure while ensuring quality. Manage code reviews and collaborate with internal teams to enhance products.
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The Senior Manager of Machine Learning will lead a team in developing machine learning and data science solutions for fraud prevention in financial services. Responsibilities include managing model performance, building team relationships, introducing new algorithms, and constantly improving models in response to trends.
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