Top Data Engineer Jobs in Salt Lake City, UT
Design and implement enterprise-wide data strategies, manage data engineering assets, collaborate with cross-functional teams, ensure data integrity and security, develop data models, and lead data governance initiatives.
Seeking an experienced Senior Analytics Engineer to build and activate company-wide data assets using Snowflake. Responsibilities include data modeling, metrics development, and enabling self-service analytics solutions. Must have 5+ years of relevant industry experience and expertise in SQL, Python, and data engineering tools.
The Freelance Director Level Strategic Consultant will support strategic consulting projects in the healthcare sector, developing and implementing initiatives that drive business growth for clients. This role involves working closely with the team and contributing expertise to overcome complex challenges.
The Senior Data Engineer will design and maintain data processing pipelines, focusing on Scala and Spark, while collaborating with healthcare projects to improve the quality of care data. Responsibilities include writing tests, conducting code reviews, and working alongside DevOps for CI/CD processes.
As a Staff Machine Learning Engineer at Lily AI, you will design scalable machine learning systems, optimize deep learning models, and implement best practices in ML Ops. You'll collaborate with various teams to define the ML roadmap, improve system performance, and develop tools to enhance team productivity. The role emphasizes automating workflows and transitioning prototypes to production-ready systems.
The Sr. Data Integration Consultant will provide high-quality pre/post-sales consulting, focusing on data integration and discovery projects. Responsibilities include project planning, troubleshooting, implementation, maintaining skills related to Actian products, mentoring, and creating documentation. Candidates must be proficient with various integration tools and database management systems.
The Senior Database Engineer will design, implement, and maintain database systems, optimize performance, ensure data security, and provide high availability solutions. Responsibilities include developing schemas, tuning databases, monitoring performance, and collaborating effectively with team members and stakeholders.
The Senior Data Engineer will develop and maintain data frameworks and systems for analytics, focusing on data acquisition, validation, and loading. Responsibilities include building machine learning pipelines, ensuring data quality, and integrating systems with GCP and BigQuery.
As a Data Engineer, you will maintain and optimize the data architecture by designing and implementing data platforms and pipelines, supporting migrations, troubleshooting issues, and ensuring compliance with regulations. You will also address stakeholder requirements and provide training support to staff members.
The Senior Data Systems Engineer will work with clients to develop innovative technology plans, focusing on data modeling, system architectures, and reporting requirements. Responsibilities include ETL development, report creation, and designing analytics platforms, while applying machine learning and statistical analysis expertise to address operational challenges.
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