Top Senior Level Data Engineer Jobs in Boise, ID

As a Staff Data Engineer, you will lead the evolution of the CS Data Platform, building and maintaining data pipelines and APIs, collaborating with cross-functional teams to improve data handling capabilities for AI-driven customer support solutions.

As a Staff Machine Learning Data Scientist, you will lead the development of machine learning tools for patient data, integrating insights from diverse stakeholders, and conducting complex analyses in cloud environments. You'll collaborate with experts to provide innovative solutions and generate novel clinical insights from extensive patient data.

As a Data Architect/Principal Data Engineer at Scribd, the role involves leading the design and development of data architecture, guiding data modeling, integration, processing, and delivery standards for modern data products. This position requires expertise in building robust data systems, developing data pipelines, and collaborating with cross-functional teams to enhance data strategies for customer satisfaction.

The Senior Data Science Consultant at DesignMind will lead client engagements, build machine learning systems, and mentor teams while communicating with stakeholders. Responsibilities include data modeling, statistical analysis, and delivering insights through documentation and presentations.

In the role of Data Engineer at Hiveon, you will develop and support enterprise-level statistics services, design data storage solutions, optimize queries, and create impactful reports for high-load HPC business management. You will collaborate with development teams and perform database performance monitoring and improvement tasks.

The Oracle Banner Database Administrator is responsible for supporting Oracle databases and related tools for multiple clients, managing updates and patches, conducting database tuning and optimization, and providing technical leadership for Ellucian Banner products in a higher education context.

As a Senior Data Engineer at Spokeo, you will develop, optimize, and improve data technologies including ETL processes and data pipelines. Your role will involve working with AWS and tools like Airflow and PySpark to create automated data solutions, develop data products, and ensure data quality and governance.