Top Data Engineer Jobs in Seattle, WA

As a Senior Data Engineer, you will design and build data products, establish best practices, and lead technical initiatives in data architecture and workflows within the single-family rental industry.

Lead design and implementation of scalable data infrastructure, build reliable data pipelines, collaborate cross-functionally, and influence data architecture to support analytics and operations.

The Senior Data Engineer is responsible for building a data lake, developing data pipelines, ensuring data quality, collaborating with teams, and managing ETL processes.

Design and maintain cloud-based data infrastructure and workflows to support ML model training and deployment for IoT applications, collaborating with various engineering teams.

As a Senior Data Engineer, you will design and maintain data pipelines, collaborate with cross-functional teams, and drive data solutions, while ensuring data quality and optimization.

The Senior Data & Analytics Engineer will design and maintain data pipelines, develop analytics schemas, build visualizations, and perform deep-dive analyses to drive business decisions.

As a Senior Data Analytics Engineer, you'll analyze and deliver business intelligence solutions using the Microsoft Analytics stack, working directly with clients to meet their data needs.

As a Staff Data Engineer at IonQ, you will design and maintain data pipelines, collaborate on improvements with interdisciplinary teams, and mentor others.

The Senior Data Governance and Quality Engineer will design data quality frameworks, drive governance initiatives, and collaborate with teams to ensure data integrity and compliance.

As a Senior Data Engineer, you will enhance the data lakehouse, optimize data workloads, perform complex transformations, and develop frameworks to improve delivery velocity, focusing on cybersecurity solutions.

Lead the Data Platform team, build and maintain scalable data pipelines, mentor engineers, and ensure infrastructure reliability and observability.

The Data Analytics Engineer will develop market intelligence solutions, manage large datasets, create data-driven narratives, and collaborate with clients and teams.

You will design and build data-driven Streamlit apps, automate analytics pipelines, and monitor application performance while collaborating with platform engineers.

The Data Quality Engineer ensures data integrity by developing quality frameworks, monitoring systems, and enhancing data quality standards while ensuring compliance and supporting decision-making.

Design, build, and maintain scalable data infrastructure in the cloud using AWS services and Infrastructure as Code to ensure data reliability and performance.

The Sr. Data Engineer will build and optimize data pipelines, support data strategies, and leverage AI tools, with a focus on software engineering best practices.

The role involves building and optimizing data pipelines, modeling datasets, applying machine learning techniques, and supporting data strategies. Candidates should have experience with Python, data lakes, warehousing, and related technologies.

The Senior Data Analytics Engineer designs and implements data models and analytics solutions, oversees data pipelines, and collaborates with teams to drive insights.

In this role, you will design and maintain ETL processes, collaborate with teams for data insights, and utilize various programming tools to enhance operations.

As a Staff Data Engineer, you will enhance and modernize data platform infrastructure, manage data processing platforms, and mentor junior engineers.

The Senior Data Engineer will focus on ingesting and curating satellite imagery and geospatial data, building data pipelines, and mentoring junior engineers, while ensuring performance and scalability.

Develop data pipelines and tools supporting analytics and machine learning, collaborating across departments to improve data access and governance, while leading ETL processes and mentoring junior team members.

Design and implement scalable data systems, define core schemas, build data pipelines, and collaborate with data teams.

As a Senior Data Engineer, you will build data infrastructure, develop CI/CD pipelines, and create entity resolution systems, focusing on large-scale data processing and analytics.

As an Associate Engineer in Data Science, you will leverage data analysis and machine learning to solve complex problems and develop inspiring digital products.