Top Data Engineer Jobs in Seattle, WA

As a Senior Data Engineer, you'll develop and optimize scalable data solutions, enhance infrastructure, automate ETL workflows, and support BI initiatives.

The Data Engineer-I role involves maintaining data pipelines, ensuring data integrity, and collaborating with teams to meet client deliverables. Candidates should have a background in computer science and skills in SQL and Python.

The Data Engineer will design, build, and maintain data pipelines and infrastructure, ensuring high-quality data processing and collaborating with teams to meet data needs.

Data Engineer responsible for designing scalable data orchestration processes, optimizing data storage, and building various components of the Protege platform.

The Data Engineer will design, develop, and deploy scalable data architecture solutions, collaborate with stakeholders, and support ETL processes.

The Data Engineer will design and develop ETL pipelines, data visualizations, and ensure data integrity from multiple sources, enhancing decision-making processes.

The Senior Data Engineer will develop data models, optimize MPP databases, and manage data workflows, supporting BI and data science efforts.

As a Staff Data Engineer at Dropbox, you'll build scalable commerce data pipelines and support data strategy, governance, and architecture to enhance business decisions.

The Snowflake Data Engineer designs and maintains data pipelines, collaborates with stakeholders, optimizes performance, and ensures data quality while managing data migration projects.

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.

Design, implement, and manage database systems for blockchain data, focusing on extraction, cleaning, transformation, and integration of on-chain and off-chain data. Optimize performance and ensure data security.

Collaborate with various teams to design and optimize data pipelines, improve data infrastructure, ensure data quality, and apply engineering best practices.

The Data Engineer will enhance Seesaw's data infrastructure, focusing on Snowflake architecture and robust ETL pipelines while collaborating with internal teams.

The Sr Data Engineer designs and develops data architectures, mentors team members, leads data API development, optimizes data systems, and ensures data quality and security compliance.

The Senior DataOps Engineer will design, implement, and optimize cloud data operations pipelines, ensure seamless analytics service integration, and mentor junior engineers.

The Data Migration Engineer will execute Applied Epic form conversion and data migration projects, manage multiple tasks, and ensure data quality and mapping.

As a Senior Data Architect/Sr. Data Engineer, you will organize and optimize healthcare data assets, build scalable data pipelines, develop robust data architecture, and ensure data quality while collaborating cross-functionally to enhance patient outcomes.