Top Data Engineer Jobs in Salt Lake City, UT

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.

Lead and optimize messaging systems across various channels to enhance reliability and deliverability while managing platform migrations and integrations.

The Senior Analytics Engineer will design and build scalable data pipelines using dbt and Snowflake, providing technical guidance, conducting audits, and mentoring junior engineers while leveraging AI tools to enhance productivity.

Lead the design and implementation of advanced ML-based analytics for cybersecurity operations. Oversee data pipeline development and integrate analytics into SIEM platforms while ensuring scalability, performance, and security.