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Top Data Engineer Jobs in Seattle, WA
The Senior Data Engineer will design and architect data pipelines and ETL processes, maintain data lakehouse solutions, optimize data strategies across cloud platforms, mentor junior engineers, and ensure the high availability of data infrastructure while collaborating with data scientists for advanced analytics initiatives.
The Vice President of Business Development will drive growth in the Data & AI practice by developing go-to-market strategies, qualifying and closing multi-year engagements, and leveraging relationships with platform partners and sales professionals. This role focuses on data modernization, analytics, digital transformation, and implementing data-driven solutions.
Seeking an experienced Staff Data Analyst to join the Data Science & Analytics team at Babylist. Responsibilities include collaborating with executive and finance teams, delivering actionable insights, leading strategic initiatives, and mentoring junior data scientists. The ideal candidate is an analytical problem solver, great communicator, and influential analyst with a strategic sense.
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The Senior Data Engineer will design, develop, and manage scalable data architectures and pipelines, primarily using cloud platforms like Azure. Responsibilities include data integration, modeling, optimization, and mentoring. The role emphasizes collaboration with cross-functional teams to ensure data infrastructure supports analytics and drives decision-making.
As a Senior Database Administrator at Crunchtime, you will manage database operations, perform maintenance, and optimize performance. Your responsibilities include database deployments, upgrades, and providing support to development teams while mentoring junior DBAs. You will also participate in on-call rotations and scheduled maintenance.
As a Sr. Data Engineer, you will develop and optimize ETL pipelines and scalable systems on Google Cloud Platform. Your role involves delivering high-quality solutions, collaborating with cross-functional teams, mentoring junior engineers, and leading initiatives while applying strong analytical skills in an Agile environment.
As a Big Data DevOps Lead, you will improve efficiency in Big Data infrastructure, coordinate initiatives across teams, lead architecture design efforts, ensure system reliability, and support operational tools while also providing on-call support.
As a Principal Data Engineer, you will drive the direction of the Data Warehouse, design and optimize ingestion pipelines, and mentor team members. You will ensure data accuracy, monitor pipelines, comply with regulatory requirements, and collaborate with internal teams for comprehensive data integration.
As a Senior Machine Learning & Computer Vision Engineer at Dandy, you will build advanced models for 3D scans, research state-of-the-art methods for generative deep learning, and collaborate with cross-functional teams to enhance product offerings. Your role involves working with large datasets, implementing MLOps best practices, and innovating new solutions in a growing team environment.
The Senior Data Engineer will design, develop, and maintain data pipelines and infrastructure, focusing on optimizing data for AI/ML models. Responsibilities include leading the creation of data warehouses, ensuring data quality, and collaborating with cross-functional teams to meet data requirements for machine learning applications.
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