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Top Data Engineer Jobs in Seattle, WA
Lead a small team of engineers to design and manage scalable data pipelines. Guide projects and deliver high-quality software, while ensuring performance and reliability. Foster innovation and mentoring within the engineering department, addressing technical challenges that arise.
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As a Senior Machine Learning Engineer at Nomad Health, you will lead end-to-end machine learning projects, creating models that address critical business challenges. Responsibilities include designing and delivering ML models, maintaining production models, and leveraging cloud-based technologies.
The Analytics Engineer II will design and build data models, BI dashboards, and visualizations to solve business problems. Responsibilities include collaborating with an Agile team, supporting production processes, and optimizing BI solutions while focusing on ongoing learning and development.
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As a Data Journalist at Insurify, you will analyze proprietary data sources, develop data-driven content strategies, and write stories for media attention. You will collaborate on data content creation and ensure engagement with trending topics, leveraging your skills in data analysis and writing.
The Senior Engineer, Machine Learning will collaborate with business teams to design and implement AI solutions. Responsibilities include algorithm development, data processing, infrastructure design, model training, and deployment. The role necessitates technical leadership, mentorship, and staying current with AI trends.
As a Session Lead at Udacity, you will support students in their Nanodegree programs by managing weekly sessions, answering technical questions, checking student progress, and facilitating collaboration. You'll need to have strong technical skills and experience in teaching concepts, while emphasizing a student-first approach.
The Data Engineer will design and develop scalable data pipelines, collaborate with cross-functional teams, and optimize data systems. Responsibilities include creating ELT processes, participating in agile development, and applying best practices in data modeling and schema design to ensure data integrity.
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The Senior IMS Mainframe DBA is responsible for managing and optimizing IMS databases, performing installations and upgrades, implementing recovery mechanisms, ensuring database integrity, providing vendor support, and leading day-to-day database maintenance activities.
As a Senior Machine Learning Engineer, you will design and develop machine learning applications, conduct experiments, collaborate with engineers, engage with clients, and mentor teams while staying updated on advancements in the field.
As a Data Insights Specialist, you'll analyze marketing data and site analytics to deliver actionable insights. Responsibilities include building reports and dashboards, troubleshooting data configurations, and collaborating with stakeholders to ensure effective data practices. You'll also perform SQL queries for marketing support and provide operational monitoring to prevent data issues.
Top Companies in Seattle, WA Hiring Data + Analytics Roles
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