Top Senior Level Data Engineer Jobs in Salt Lake City, UT

The Data Engineer is responsible for designing and maintaining data structures, ensuring accuracy and accessibility of data, assessing existing data architecture, supporting BI reporting needs, and creating quality standards for data integrity, while working with clients to meet their data management needs.

As a Staff Data Scientist at Coinbase, you will build advanced models, provide technical mentorship, and develop novel experimentation techniques to drive business value. Your role will involve creating sequential features based on user behavior and quantifying the impact of negative experiences on the platform.

The Senior Data Engineer will build datasets and ensure quality data accessibility for product teams and data scientists. Responsibilities include designing data structures for the data warehouse, creating ETL processes, and collaborating with various teams to meet data needs and support business analytics efforts.

The Senior IMS Mainframe DBA will create, maintain, design, and troubleshoot client databases, focusing on IMS environments. Responsibilities include database software upgrades, daily maintenance, backups, monitoring, performance optimization, and on-call support. They will collaborate with vendors and develop best practices for database management, ensuring security and efficiency.

As a Principal Data Scientist at Appspace, you will analyze data generated by our platform to create valuable reporting and analytics for customers. This includes developing data models, dashboards, and providing user training while collaborating with cross-functional teams to meet customer needs.

As a Senior Machine Learning Engineer, you will design and develop machine learning applications, conduct experiments, work collaboratively with engineers, engage with clients, and mentor project teams, focusing on practical AI solutions for clients.

The Application Data Architect will guide software engineering teams in database design, optimizing data for online applications, and ensuring data integrity and security. Responsibilities include collaborating with various teams to translate requirements into database designs, managing data catalogs, and improving data architecture best practices.