Top Data Engineer Jobs in Los Angeles, CA

Design, implement, and scale critical machine learning components and services to support strategic initiatives at Snap Inc. Responsibilities include building a next-generation training framework, optimizing training performance, developing an AutoML platform, collaborating with teams, advocating for best practices, and providing technical direction.

Seeking an experienced SVP of GTM Operations to lead the go-to-market operations function, specifically focusing on Master Data Management (MDM) deployment globally. Responsible for designing, implementing, and managing processes, tools, and technologies to achieve revenue and margin targets efficiently and effectively.

The Machine Learning Senior Engineer at ZS will be responsible for building, orchestrating, and monitoring model pipelines, scaling machine learning algorithms, and implementing ML Ops. They will collaborate with client teams and global development team to successfully deliver projects and contribute to researching and evaluating the latest architecture patterns and technologies.

Responsible for defining and driving data governance within the Finance organization. Work closely with leaders and process owners to implement data policies and standards. Develop strategies for data capture and maintenance. Manage data quality metrics and governance policies.

Join Restaurant365 as a Sr Data Engineer and be a technical leader in enabling the flow of information and analytics across the company. You will design and develop data objects, pipelines, and control processes, partner with stakeholders to understand their needs, and drive continuous improvements. A deep understanding of data warehousing, data engineering, business intelligence, and analytics is required.

As a Senior Analytics Engineer at Calm, you will lead the development of scalable data models for external customers and internal data products, collaborate with cross-functional teams, and drive data-driven decisions. Previous projects include setting up reporting systems, developing testing and alerting systems, and architecting data warehouses. The ideal candidate has experience in data modeling, cloud computing platforms, SQL, data pipeline development tools, and Python.

Senior Machine Learning Software Engineer at Dropbox responsible for designing, building, evaluating, deploying, and iterating on large scale Machine Learning systems. Collaborate with cross-functional teams to personalize user experiences and contribute to technical strategy for machine learning lifecycle.