Top Data Engineer Jobs in Seattle, WA

Manage data engineering projects focusing on AI and automation, develop AI models, optimize data pipelines, and lead data architecture efforts.

Responsible for data modeling, AI development, and optimizing data processes. Collaborate on digital outcomes and enhance data quality in healthcare solutions.

The HR Data Engineer will enhance HR data foundations by designing scalable data pipelines, ensuring data quality, and collaborating with various teams to drive data-driven decisions in talent management and analytics.

The Data Engineer II will collaborate to build a data platform, implement coding standards, and ensure data security, leveraging various tools and technologies.

The Data Engineer will design and optimize data pipelines, ensure high data quality, and collaborate closely with data scientists and engineers.

Lead the development of data management tools by collaborating across Agile teams, utilizing cloud technologies, and mentoring engineers to support large-scale applications in a remote environment.

As a Principal Data Engineer, you'll guide the direction of the Data Warehouse, architect, implement, and optimize ingestion pipelines, and collaborate across teams to ensure data-driven decision-making. You'll also mentor colleagues and ensure compliance with regulatory standards while managing high-volume data systems.

As a Staff Data Engineer, you'll lead the marketing data engineering team, manage data operations, and drive analytics strategy across platforms, while ensuring data quality and infrastructure improvements.

The role involves designing, implementing, and optimizing machine learning models, collaborating with teams to develop scalable solutions, and enhancing customer experiences.

As a Senior Data Engineer, you will build data solutions, mentor junior members, develop data pipelines, and ensure high data quality.

The Senior Data Engineer will build data solutions and architecture, translate business needs into data requirements, and mentor junior members. Responsibilities include developing data pipelines, designing data models, ensuring data quality, and collaborating with various teams.

As a Senior Data Engineer, you'll build and maintain data pipelines, develop APIs, ensure data quality, and collaborate with cross-functional teams on machine learning initiatives.

The Data Engineer will develop and optimize data flows, backend services, and APIs, ensuring system scalability and reliability, while also managing databases and integrating third-party services.

The Principal Software Engineer leads the development of scalable data platforms, collaborating with cross-functional teams, optimizing data pipelines and mentoring engineers to drive innovation and operational excellence.

The Principal Software Engineer will lead the development of scalable data platforms, driving innovation and collaboration across teams while mentoring junior staff and optimizing operations.

As a Data Engineer, you will build and refine data products, improve data quality, and integrate data from various sources while collaborating with cross-functional teams.

As a Data Engineer IV, you will design, develop, and maintain data pipelines and ETL processes, ensuring data quality and scalability while mentoring engineers and contributing to data architecture projects.