Top Data Engineer Jobs in Seattle, WA
Responsible for training, tuning, and evaluating models using Deep Learning and Large Language Models. Collaborate with AI engineers to design and maintain ML pipelines. Proficient in crafting ML models and leveraging machine learning frameworks such as SKLearn, XGBoost, PyTorch, and Tensorflow.
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.
As a Machine Learning Engineer, you will build and scale ML model pipelines, implement MLOps, write production-ready code, and collaborate with clients and global teams to deliver AI solutions. You will also engage in research to evaluate new architecture patterns and technologies.
The Database Manager will oversee support, maintenance, and enhancements of CRM systems while ensuring effective data management and quality. Responsibilities include user administration, data integrity, tool integration, compliance procedures, training, and collaboration with stakeholders to improve processes and systems.
The Data Engineer II at Deako will participate in code reviews, build SQL queries for dashboards, maintain data infrastructure and pipelines, and work with stakeholders on data collection and cleaning. The role requires collaboration with data and software teams to enhance data practices.
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.
As a Staff Software Engineer in Machine Learning Infrastructure, you'll develop scalable machine learning workflows, backend infrastructure for cloud and mobile training, and data management systems. Collaboration with product teams to enhance machine learning applications in Snapchat is key. You'll apply strong software engineering principles to tackle advanced deep learning problems.
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.
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