Top Data Engineer Jobs in Seattle, WA
Design, develop, and maintain data models in Redshift, optimize ETL processes, collaborate with teams to identify key metrics, develop dashboards using BI tools, mentor junior team members, and contribute to technical best practices.
As a member of the Data Science and Analytics team, you'll analyze user behavior data, define product success metrics, identify product improvement opportunities, and build a data-driven culture to inform product strategy and commercial growth.
Join Epic Games as a Senior Database Administrator/Engineer to own and manage database systems, provide expertise on database platforms, develop best practices, mentor the team, troubleshoot database issues, and participate in on-call rotations for an online infrastructure team serving over half a billion players worldwide.
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The ITSM Database Administrator II will support the design and build of relational databases, developing strategies for data acquisition, implementation, and maintenance while ensuring data quality standards. Responsibilities include data cleaning, evaluating data sources, and providing project and management support.
Responsible for designing, developing, and enhancing AWS data environments, including setting up AWS Data Platform and building scalable Data Lake solutions. The role requires expertise in data engineering and optimizing complex Data Pipelines.
The Developer in Test II will design and expand automation tools for data engineering projects, create automation strategies, and perform quality assurance tasks including test planning and data validation. They will collaborate with analysts and developers to ensure quality data processes and conduct testing on large datasets.
As a Senior Data Engineer at Smartsheet, you will analyze and mine large datasets to develop insights that drive decisions, specifically partnering with Finance. You will complete the analytics lifecycle, automate reporting, and effectively communicate complex findings to both technical and non-technical stakeholders, enhancing financial data analysis and creating self-serve capabilities.
As a Staff Machine Learning Engineer, you'll lead the development of AI solutions, working with application teams and data scientists to build a reliable AI infrastructure at Robinhood. You'll oversee high-impact projects for a centralized AI platform, ensure seamless integration, and drive the implementation of effective ML models and data access strategies.
The AWS Data Architect will develop and manage data pipelines, ensuring data quality, define data models, collaborate with business analysts, and implement data governance principles. Additionally, they will enable data-driven decision-making through expert guidance on data consumption and work on continuous integration processes for data pipelines.
The Senior Data Modeler will analyze business needs to create long-term data models, optimize SQL systems, maintain data integrity, and establish design standards for data modeling at BILL. They will support the customer experience and operations teams in enhancing data workflows and insights.
Top Companies in Seattle, WA Hiring Data + Analytics Roles
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