Top Data Engineer Jobs in Seattle, WA

As a Data Engineer at Wider Circle, you will develop and maintain data quality frameworks, enhance data quality through feedback, partner with engineering teams to predict data issues, and manage internal service level agreements for data quality.

The Senior Consultant will design, build, and test custom data warehouse and business intelligence solutions using Oracle NetSuite Analytics Warehouse. Responsibilities include developing data integration solutions, implementing best practices, and leading product implementation and training for clients.

The Director of Data Engineering at Shift4 will lead the data architecture, manage a team of data engineers, and oversee the development of scalable data pipelines and governance processes while collaborating with various teams to support analytics and reporting needs.

As a Data Engineer II, you will clean and process large datasets, migrate client data, develop data quality assurance checks, and streamline data pipelines. You will collaborate cross-functionally to understand and fulfill data needs, while also monitoring and optimizing system performance for impactful healthcare data analysis.

Lead the design and implementation of modern data architectures and scalable data platforms. Collaborate with various teams to ensure data integrity and accessibility while optimizing data pipelines and mentoring the engineering team. Foster innovation and address the data infrastructure needs of the organization by integrating AI/ML workflows.

The AI Strategist will partner with sales and delivery teams to identify business value from generative AI initiatives, lead discussions with potential clients, assess AI project viability, and ensure alignment with strategic outcomes. The role requires strong business acumen, effective communication, and collaboration skills to facilitate successful AI solutions tailored to client needs.

As a Senior Analytics Engineer, you will implement scalable analytics infrastructure and convert raw data into standardized assets to drive business decision-making. Responsibilities include designing data models, defining engineering standards, collaborating across functions, and influencing analytics strategies for scalability.