Data Engineer Jobs in Glendale, CA

Design, build, and scale streaming and batch data pipelines, embedding workflows, and vector store integrations to support AI applications. Implement AI-optimized data models, ensure observability and data quality, and collaborate across infra, ML, and product teams while mentoring engineers and delivering production-ready, reliable data foundations.

Lead development teams in creating scalable data platforms, focus on ETL/ELT pipelines, data architectures, mentoring junior engineers, and ensuring project alignment with business goals.

The Staff Data Operations Engineer manages data platforms, resolves technical issues, oversees vendor management, and ensures operational excellence in data analytics and engineering.

The Lead Software Engineer will design, develop, and support scalable cloud-based messaging and integration platforms, provide technical leadership, and ensure performance and reliability across platforms, primarily using Java, Spring Boot, and AWS services.

Lead design, build, and operate scalable, low-latency data systems and platform services for real-time personalization and recommendations. Partner with ML, product, and platform teams to deliver feature serving, inference integration, APIs, monitoring, and reliability. Provide architecture leadership, mentor engineers, and establish operational standards for data pipelines and ML workflows.