Top Hybrid Data Engineer Jobs in Seattle, WA
The Data Engineer Manager at PwC is responsible for designing robust data solutions, leading data infrastructure projects, and mentoring team members. This role includes developing data pipelines and systems for efficient processing and analysis, addressing client and team issues, and adhering to professional standards.
The Data Manager will develop data solutions for Risk by collaborating with leadership to drive data-driven decisions. Responsibilities include data pipeline development, transformation, modeling, storage, API development, collaboration with AI/ML teams, and implementing data governance practices.
The Software Engineer will work on machine learning infrastructure to enhance Snap's core products, contributing to innovations in augmented reality and messaging technologies. Responsibilities include developing and optimizing machine learning systems, collaborating with diverse teams, and engaging in dynamic in-office collaboration.
As a Data Engineer at Snap Inc, you'll develop and maintain data pipelines, ensuring data quality and accessibility for various stakeholders. You will communicate complex technical solutions to non-technical teams, prioritize requests, and support on-call responsibilities for data maintenance.
As a Machine Learning Engineering Manager, you will lead a team in developing models and systems for user understanding and ranking improvements. Responsibilities include defining architecture, ensuring quality and scalability, and collaborating closely with infrastructure and ranking teams. You will conduct design reviews and maintain high technical standards in a fast-paced environment.
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The Director, Analytics and Data Platform Delivery leads teams in managing and delivering analytic/data platforms, ensuring alignment with Pfizer's strategic vision. Responsibilities include overseeing design, security, compliance, and financial management of data technologies while fostering innovation and collaboration with senior leadership and external partners.
As a Senior Manager, you will oversee multiple projects, ensure the accuracy of clinical data, and manage operational activities within your division. You will guide your team in developing data management plans, implementing quality data capture solutions, and anticipating talent development needs. Your role is critical in achieving project objectives and promoting knowledge sharing across teams.
As a Machine Learning Engineer at ZS, you will build and monitor model pipelines, scale algorithms for massive data sets, and enhance ML platforms. Your responsibilities include implementing ML Ops, writing production-ready code, collaborating with teams, and researching new technologies.
The Lead Machine Learning Engineer will focus on developing and optimizing algorithms for Hulu's recommendation and personalization systems. Responsibilities include collaborating with product and data teams, maintaining existing models, and establishing best practices in algorithm development and deployment.
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