Top Data Engineer Jobs in Spokane, WA

As a Data Warehouse Engineer, you'll build scalable data products, design data models, optimize analytics architecture, and enable self-service analytics for stakeholders.

The Analytics Engineer II will manage data cleanliness and modeling, transforming raw data into structured datasets for AI and business decision-making while collaborating with teams to ensure reliable analytics.

The role involves defining analytical engineering strategies, managing a data/analytics engineering team, collaborating cross-functionally, and establishing data governance for key business metrics.

The Senior AI Data Engineer will design and maintain datasets for AI models in cybersecurity, ensuring data quality and relevance while collaborating with teams.

As a GTM Analytics Engineer, you will enhance data infrastructure, build SSOT models, and optimize data pipelines to support analytics and business decisions.

The Databricks DBA will modernize data warehouse environments, create intelligence tools, and support Agile practices while collaborating across teams.

The ML Ops Engineer will deploy, optimize, and monitor machine learning infrastructure, collaborate with teams, and implement CI/CD pipelines.

The Research Engineer will advance decentralized AI by optimizing distributed training, developing open-source tools, publishing research, and enhancing platform capabilities.

Lead a team of Data Engineers to develop and maintain data pipelines, ensuring quality and project timelines while mentoring junior staff.

The role involves transforming business requirements into data models, leveraging Databricks, and ensuring compliance with healthcare data standards.