493 Data Engineer Data Science And Ai Remote jobs in Los Angeles,CA

CarParts.com

Long Beach, CA 90805

DataAnnotation

Santa Monica, CA 90405

KPMG

Los Angeles, CA 90012

Minimum of 5 years of experience designing and leading enterprise-scale technology solutions, with demonstrated ownership of architecture and delivery in complex environments.
Bachelor's degree from an accredited college or university in Computer Science, Engineering, or a related field is required.
Strong background in cloud-native architecture on Microsoft Azure, including application services, data platforms, integration patterns, and DevOps automation.
Proven expertise in AI-driven and modern data architectures, including GenAI, agent-based systems, and RAG-style solutions, with experience taking concepts through production deployment.
Solid understanding of full-stack systems, including modern web frameworks, backend services, APIs, and data integrations, with the ability to make pragmatic architectural trade-offs.
Demonstrated experience leading and mentoring technical teams, influencing senior stakeholders, and serving as a trusted technical advisor with strong written and verbal communication skills.
Ability to travel as required.
Applicants must be authorized to work in the U.S. without the need for employment based visa sponsorship now or in the future.

Disney Entertainment and ESPN Product & Technology Careers

Glendale, CA 91205

Disney Experiences Careers

Glendale, CA 91205

KPMG

Los Angeles, CA 90030

Minimum of 5 years of experience designing and leading enterprise-scale technology solutions, with demonstrated ownership of architecture and delivery in complex environments.
Bachelor's degree from an accredited college or university in Computer Science, Engineering, or a related field is required.
Strong background in cloud-native architecture on Microsoft Azure, including application services, data platforms, integration patterns, and DevOps automation.
Proven expertise in AI-driven and modern data architectures, including GenAI, agent-based systems, and RAG-style solutions, with experience taking concepts through production deployment.
Solid understanding of full-stack systems, including modern web frameworks, backend services, APIs, and data integrations, with the ability to make pragmatic architectural trade-offs.
Demonstrated experience leading and mentoring technical teams, influencing senior stakeholders, and serving as a trusted technical advisor with strong written and verbal communication skills.
Ability to travel as required.
Applicants must be authorized to work in the U.S. without the need for employment based visa sponsorship now or in the future.