Top Data Engineer Jobs in Seattle, WA

As a Data Engineer, you will develop and manage data ETL pipelines, ensure data quality, and implement data warehousing solutions. Collaborate with various stakeholders to deliver high-quality datasets while adhering to privacy and governance standards.

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 QA Data Engineer enhances quality and reliability of data-driven applications by developing automated validation tools, implementing data verification tests, and designing QA architecture for data processing. Responsibilities include performance testing on AI systems, creating data monitoring systems, and exploring new technologies to optimize data QA processes.

The Quality Assurance Data Engineer enhances data-driven applications by designing automated processes for data validation and verification, ensuring data integrity, and developing scalable QA architectures. Responsibilities include collaborating with data teams, implementing QA frameworks, and exploring new data tools and technologies to optimize data QA processes.

The Google Cloud Data Engineer at PwC will design and implement data architecture, develop data pipelines, and lead projects utilizing Google Cloud services. The role involves mentoring and coaching team members while ensuring data governance and compliance, and managing client relationships effectively.

As a Senior Manager at PwC, you will design and build data infrastructure and systems for efficient processing and analysis, develop data pipelines, and implement integration and transformation solutions. Your role focuses on strategic advising, team leadership, and ensuring compliance with governance and security policies.

As a Data Engineer at Quantum Rise, you will design, implement, and manage large-scale data systems, ensuring data quality and security while collaborating with consultants and data scientists. Your role will involve developing ETL processes, optimizing data systems, and utilizing cloud platforms for deploying data solutions in support of AI-driven applications.

As a Data Engineer at Headway, you will design and implement data pipelines to support business decisions, improve data infrastructure, and collaborate with cross-functional teams in providing valuable insights from data. You will engage with product, engineering, and data teams to create efficient data processing systems.

As a Data Engineer at Hometap, you will design, implement, and maintain data infrastructure, develop data pipelines, and optimize data workflows. You will collaborate with teams to create data models, perform ELT processes, and ensure data quality. Monitoring and troubleshooting data systems, along with staying informed on industry best practices, are key responsibilities.

As a Senior Data Engineer, you will lead data migration to Databricks, develop scalable data pipelines, ensure data quality, and collaborate with teams on data governance and metrics. You'll troubleshoot data issues, innovate solutions, and manage SLAs for high-priority datasets, applying Agile methodologies throughout.

As a Data Engineer at Vetcove, you will design and maintain scalable data pipelines, integrate external data sources, and leverage advanced techniques like Large Language Models for efficient data management and analysis.

As a Data Engineer at Dandy, you will design, build, and maintain scalable data pipelines, contribute to the data platform, and collaborate with various teams to optimize data workflows. You'll ensure high data quality and implement best practices in data engineering while creating clear documentation.

As a Machine Learning Engineer II, you will enhance Qualtrics' AI features, develop scalable microservices for statistical analysis, and maintain data pipelines for complex datasets. Collaboration with cross-functional teams and prototyping solutions to customer problems are key responsibilities.

As a Staff Data Engineer at Red Canary, you will design and develop data pipelines to enhance cybersecurity capabilities, optimize data processing workflows, and ensure data integrity and security. Your work involves solving complex data challenges and implementing modern technologies in a collaborative environment to improve the organization’s ability to respond to cyber threats.

As the Data Engineering Manager at Dandy, you will lead the centralized data engineering team, shape its culture, and establish scalable data processes and infrastructure. You will collaborate with cross-functional teams to optimize workflows, develop a robust data platform, and advocate for a data-driven culture throughout the organization.

As a Data Engineer at Bombora, you'll develop and maintain scalable ETL and data processing pipelines, optimize SQL queries, and design distributed data processing systems using GCP services. You'll collaborate across teams and drive engineering excellence while dealing with billions of data interactions and intent signals.

As a Data Engineer at Lyft, you will develop and manage data pipelines, ensuring data quality and consistency while supporting critical business decisions. Responsibilities include designing data models, implementing ETL processes, and tuning performance using SQL and Spark. You will collaborate with cross-functional teams and take ownership of projects from design through implementation.