Top Data Engineer Jobs in Sacramento, CA
The Principal Machine Learning Engineer will drive the development of ML solutions addressing complex business problems, implement algorithms for recommendation systems and generative AI, and mentor senior data scientists. This role involves collaboration across teams to enhance ML capabilities and deliver value to customers.
The Tax Data Specialist is responsible for maintaining tax profile data, processing customer profile updates, managing cases related to tax inquiries, and ensuring data accuracy in systems like TaxEx and Workday. They provide support for payroll tax data analysis and assist customers with filing impacts while maintaining quality metrics.
The Cloud Data Architect is responsible for creating data products from transactional and third-party data, improving existing systems, and collaborating with teams to build foundational data sets. The role requires experience in cloud data solutions, data warehousing, ETL tools, and big data technologies.
The Data Engineer will develop database designs and architecture in an Azure environment, contribute to technical designs, secure data migrations and transformations, conduct data profiling and cataloging, and migrate ETL and SSIS packages to Azure Synapse.
As a Backend/Data Engineer, you will develop backend data tools and services, work with the Data Analytics team on technical implementations, review code, and architect cloud infrastructure on AWS while integrating APIs from platforms like Discord and Spotify.
Crisis Text Line is seeking a Senior Manager for Data Engineering & Analytics to lead the data and analytics teams in utilizing data to deliver insights and create data products for fostering crisis support globally.
As a Data Engineer, you'll design and develop large-scale data pipelines, enhance processes, integrate data sources, and write maintainable code to support various teams in the organization. You'll optimize data architectures and support ongoing projects through effective data delivery.
The Database Engineer II will design and develop scalable database structures, optimize SQL queries, and perform code reviews. Responsibilities include monitoring system performance, data integration, and providing on-call production support. Collaborating with cross-functional teams to ensure robust database systems that meet business needs is essential.
The Staff Data Engineer will design, develop, and maintain data architecture and standards for Data Integration & Data Warehousing projects in BigQuery. They will develop data solutions, document data flows, aid in data governance, and mentor other engineers to improve healthcare data visibility and processes.
The Senior Data Engineer is responsible for designing, developing, and maintaining data infrastructure, creating scalable data pipelines, and ensuring data quality and governance. They collaborate with various teams to meet data needs and stay updated on new data technologies.
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