Top Data Engineer Jobs in Los Angeles, CA
The Staff Data Engineer leads the technical development for The Movement Cooperative, architecting data pipelines, implementing software development best practices, and mentoring the engineering team. Responsibilities include designing systems, maintaining the data warehouse, and ensuring code quality and security, while collaborating closely with team members and external partners.
The Compliance Analyst (Privacy) will support the DHS by managing and enforcing compliance with privacy laws. Key responsibilities include drafting compliance documents, developing privacy policies, training staff, and identifying risks to enhance existing compliance programs.
As a Data Architect, you will design and implement data strategies for clients utilizing Google Cloud and Azure technologies. Responsibilities include architecting data warehouses, migrating data, and providing educational workshops. You will serve as a liaison between business and technology teams, ensuring effective architecture solutions are in place.
The Data Architect is responsible for designing and overseeing enterprise-wide data architecture, ensuring data quality, integrity, and management. They collaborate with teams to develop data solutions, oversee data processes, implement methodologies, and support enterprise data projects to drive organizational goals.
Seeking a Trail Data Consultant in Sweden (Remote) fluent in English and Swedish with experience living and hiking in Sweden. Responsibilities include providing translation services, local geography expertise, and consulting on improving customer experience and data integrity. Must have strong communication skills and passion for mobile technologies and connecting people to the outdoors.
As a Senior Data Engineer, you'll collaborate closely with the Data Science team to leverage claims data for predictive modeling. Responsibilities include building and optimizing data pipelines, ensuring data health, and working independently to resolve complex issues. You'll also assist application developers with data extraction for machine learning models and identify reporting improvements.
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.
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