Top Data Engineer Jobs in Seattle, WA
As a Senior Technical Sourcer for Snap's Machine Learning Recruiting Team, you'll identify, source, and screen candidates for machine learning roles. You'll work with recruiters and hiring managers, develop strategies for a robust candidate pipeline, use hiring metrics for efficiency, and provide a positive candidate experience.
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 Senior Principal Machine Learning Engineer will guide the development and deployment of advanced machine learning algorithms, collaborating closely with various teams to integrate AI functionalities across Atlassian products. Responsibilities include designing system and model architectures, conducting experiments, mentoring other ML engineers, and ensuring the effective use of AI in the product suite.
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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.
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.
In this role, you'll lead data and analytics services for financial clients, focusing on aligning data strategies with business goals. You'll guide clients in choosing a cloud platform, defining data requirements, and migrating to modern cloud environments. Responsibilities include solving complex business issues, coaching team members, and navigating cross-border teams.
The Associate Manager, Data Annotation role involves leading a multi-lingual team responsible for data annotation and transcription processes. This includes managing projects, creating guidelines, ensuring data quality, and staying updated with AI advancements to support machine learning initiatives.
As a Machine Learning Engineer II at Remitly, you will develop models to assess risks in financial transactions, collaborating with engineers and data scientists to enhance fraud detection efforts. You'll build machine learning models and ensure they operate effectively within the company's infrastructure.
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The Senior Data Engineer will design and develop scalable data analytical solutions, create distributed data processing pipelines, optimize data performance, and collaborate with cross-functional teams to deliver BI solutions. The role involves mentoring engineers and maintaining production support.
As a Senior Applied Scientist at Chewy, you will lead the deployment of machine learning and data science to enhance shopping experiences, develop new models, and influence product and engineering strategies. You will mentor junior scientists and present research findings to business leaders.
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