Top Data Engineer Jobs in Seattle, WA

As a Data Engineer II, you will maintain and expand a data platform, ensuring its reliability and stability. Your responsibilities include building and operating data infrastructure, maintaining CI/CD pipelines, and collaborating with stakeholders for data requirements. You'll leverage tools like Airflow, dbt, and AWS to optimize data processing and documentation.

The Data Engineer II will design, develop, and maintain data pipelines, tackle complex data issues, and create data products to boost team productivity, engaging with various departments to meet business goals.

Design, build, and maintain data infrastructure. Optimize ETL/ELT pipelines, ensure data quality, and develop data models for analytics.

The Data Engineer role focuses on integrating client data systems, developing data pipelines, and leveraging new technologies to enhance healthcare analytics.

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

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

The QA Data Engineer ensures data integrity and quality through automated testing frameworks and data validation tools, collaborating with teams to resolve anomalies and optimize data flows.

Lead the development and implementation of data-driven strategies, oversee multiple projects, and manage executive-level client relations while driving business growth.

The QA Data Engineer will develop and maintain QA processes to enhance data quality in data-driven applications, focusing on validation, verification, and performance testing.

The Data Engineer will build financial data pipelines, manage data health metrics, migrate data platforms to Databricks, and enhance data governance, collaborating with teams to drive business impact.

The GCP Data Engineer Senior Manager will lead data infrastructure development, execute data pipelines, and collaborate with clients on data solutions. Responsibilities include architecting scalable systems, applying data governance, and coaching teams to enhance data capabilities.

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.

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.

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

The Staff Data Engineer will lead the Data Engineering group, focusing on building data pipelines, architectures, and analytics while mentoring the team and ensuring data integrity.

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.

Lead the centralized data engineering team, build data infrastructure, create scalable processes, and drive innovation across the organization.