Top Remote Data Engineer Jobs in Spokane, WA

Zone & Co is seeking a Business Intelligence Engineer with expertise in Power BI, Azure, and SQL. Responsibilities include data modeling, report creation, DAX and SQL scripting, integration, performance tuning, collaboration, and staying up-to-date with the latest BI trends.

Design, develop, and maintain scalable solutions for ongoing metrics, reports, and analyses to support analytical and business needs. Translate business problem statements into analysis requirements and collaborate with the team to measure customer experience. Develop queries, visualizations, troubleshoot data-quality issues, and recommend improvements to back-end data sources.

Senior Associate role at PwC focusing on data conversion and digital experiences for clients. Responsibilities include data analysis, Maximo modules management, and relational databases.

The Data Engineer II at Wipfli is responsible for developing, testing, and implementing data-oriented solutions, specifically focusing on BI solutions. They work closely with business stakeholders to turn data into critical information for organizational decisions. Key responsibilities include developing data models, performing ETL operations, ensuring data accuracy, translating requirements into effective data insights, and participating in project life cycle activities.

Looking for a Senior Applied Scientist to improve targeting and optimization products by building production-level ML and data products, using machine learning models, and communicating effectively with various teams.

Responsible for developing innovative and practical Generative AI applications for Tempus product line. Collaborate cross-functionally with other teams to understand needs and requirements. Conduct research and exploration of generative AI techniques, with a specific emphasis on healthcare applications. Design and implement generative AI models tailored for healthcare scenarios. Collaborate with domain experts, clinicians, and researchers to validate and refine the models' outputs.

Develop and implement advanced machine learning models for Cisco's Security Innovation team. Drive the training and fine-tuning of models, collaborate with software engineering teams, and establish best practices for machine learning and security operations.