Data Engineer Jobs in Glendale, CA

The Sr. Data Engineer designs and maintains scalable ETL/ELT pipelines, supports processes, defines data models, and mentors junior team members.

The Sr. Data Engineer designs, implements, and maintains scalable ETL/ELT data pipelines, collaborates with teams, ensures data integrity, and coaches junior members.

The Big Data Systems Engineer will deploy and integrate the CHEETAS system in DoD environments, collaborate with technical teams, and resolve deployment issues.

As a Senior Data Engineer, you'll design and maintain data systems, create capabilities from raw data, and collaborate with teams to enhance product offerings, focusing on scalability and reliability.

Develop and maintain internal web-based tools for client telemetry and logging by collaborating with cross-functional teams and ensuring data integrity.

The Lead Data Engineer is responsible for designing, developing, and maintaining ETL pipelines to manage financial data, ensuring compliance and business intelligence.

As a Software Engineer on the data platform team, you will develop and manage applications for data aggregation, storage, and pipeline building while collaborating with cross-functional teams to implement solutions for automated manufacturing.

The Senior Data Engineer will design data architecture, collaborate with machine learning teams, and ensure robust data integration and workflows.

Design and build scalable platforms for data ingestion and storage, collaborate with hardware engineers, and define engineering processes at Sift.

Lead software systems engineer responsible for power management solutions for data centers, focusing on technology leadership, efficiency improvement, and AI integration.

Design and build a scalable data infrastructure for real-time telemetry, focusing on backend and distributed systems while collaborating on architecture and processes.

The Software Engineer II will design and optimize distributed systems for processing metadata, collaborating closely with cross-functional teams to integrate machine learning models into production pipelines.

This role involves architecting, building, and maintaining scalable data pipelines, collaborating on data infrastructure, and supporting AI frameworks in a manufacturing context.

The Staff Engineer - Finance Data Specialist will develop and support a Finance Data Warehouse, collaborating with Finance and Tech teams on data management and analytical solutions.

As a Sr. Data Engineer, you'll design and maintain data pipelines, support AI workflows, manage data architecture, and collaborate with cross-functional teams.

Design and build systems and pipelines for data centralization, improve data quality, mentor junior engineers, and influence infrastructure choices.

The Senior Data Platform Engineer will architect and maintain scalable data infrastructure, optimize data processing solutions, and lead technical initiatives while mentoring junior engineers.