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Top Hybrid Data Engineer Jobs in Seattle, WA
As a Machine Learning Engineer at ZS, you will develop and monitor ML pipelines, enhance ML Engineering platforms, implement MLOps, and ensure high-quality software delivery while collaborating with teams to deliver impactful AI solutions.
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As a Staff Data Engineer, you will design and maintain data pipelines to support marketing data initiatives at Square. You will work closely with web analytics and SEO teams, ensuring data accuracy and integration, while building scalable ETL solutions. Your role involves monitoring and improving data flow and collaborating with stakeholders to drive business decisions supported by reliable data insights.
As a Staff Data Engineer on the Marketing Data Engineering team, you will build and maintain foundational data infrastructure essential for driving revenue growth. Your role involves creating data pipelines, collaborating with analytics teams, and ensuring data accuracy for business reporting and decision-making, impacting multiple stakeholders at Square.
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The Sr Machine Learning Engineer will develop and maintain algorithms for Hulu's recommendation system, using advanced machine learning methods. Responsibilities include feature engineering, optimizing data pipelines, and collaborating with product and data teams to enhance personalization and analysis processes.
As a Senior Associate Data Architect at PwC, you will design and develop data solutions, transforming raw data into insights. Your responsibilities include building data infrastructure, implementing data pipelines and integration, collaborating with stakeholders, ensuring data governance, and optimizing data architecture for future business needs.
The Senior Manager of Data Science will lead a team of Data Scientists in creating machine learning models to enhance company growth, manage projects across departments, and teach business teams the implications of model results.
Top hybrid Companies in Seattle, WA Hiring Data + Analytics Roles
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