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Top Data Engineer Jobs in Seattle, WA
The Senior Data Engineer at Bluesight will design, implement, and maintain data architectures for healthcare pharmacy e-commerce, while ensuring data governance and security. The role focuses on developing robust data pipelines and collaborating with various teams to enhance understanding of customer medication workflows and improve data product offerings.
As a Senior Data Engineer, you will design and build scalable data pipelines and ensure reliable data infrastructure while collaborating with data scientists. Your role includes transforming datasets, implementing ETL pipelines, and employing cloud-based solutions to support data architecture projects.
As a Data Architect, you will design and implement analytics solutions for healthcare providers, transforming data into actionable insights and creating scalable data models. You will collaborate closely with customers to decipher complex requirements and ensure successful project deliverables.
The Senior Data Engineer at Bluesight will design, implement, and maintain data architectures while collaborating with product owners and engineering teams. The role includes ensuring data governance, creating data products with APIs, and serving data needs for data scientists. The candidate must have extensive experience in data orchestration, SQL, programming, and infrastructure as code.
As a Data Integration Specialist, you will work with clients to onboard their data onto the Enterra solutions, validating and improving data architectures, mapping data requirements, and testing client-specific solutions. You will also communicate complex data relationships and identify opportunities for enhancements in Enterra's offerings.
The Data and Reporting Lead generates and analyzes reports for value-based payment models, integrates data from multiple sources, and collaborates on model performance and improvements. Responsibilities include creating scorecards and financial analyses, ensuring data integrity, and troubleshooting issues to enhance the effectiveness of VBP programs.
As a Staff Machine Learning Engineer at Fakespot, you will leverage AI and machine learning techniques to analyze unstructured data, develop and optimize models for tasks like entity recognition and text generation, and collaborate with cross-functional teams. You'll also monitor and refine models for performance, ensuring the delivery of trustworthy tools to enhance eCommerce transparency.
The Senior Consultant in Data & Analytics leads clients on their analytics journey, collaborating on strategic visions and implementing initiatives. Responsibilities include analyzing data patterns, creating predictive models, generating insights through visual analytics, conducting gap analyses, and designing data flows.
As a Data Engineer Consultant at DAS42, you will develop data integrations and implement data warehouse solutions. You will work collaboratively on client projects, support data environments, and guide clients on improving their data operations. You will also contribute to pre-sales processes and tackle complex technical challenges, utilizing your expertise in various technologies.
The Senior Data Engineer will design, build, and maintain scalable data pipelines and analytics solutions. Responsibilities include collaborating with stakeholders, optimizing Spark jobs, implementing CI/CD pipelines, and improving data quality while mentoring junior team members.
Top Companies in Seattle, WA Hiring Data + Analytics Roles
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