Data Engineer Jobs in Pasadena, CA

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.

The Staff Engineer will focus on finance data analysis and modeling, contributing to innovations that improve customer experience and business performance.

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.

Design and implement high-throughput data pipelines for trading and analytics; optimize performance and reliability; collaborate with teams on blockchain data processing.

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.

The Senior Data Engineer will design and maintain data pipelines and systems, ensuring performance and governance. Responsibilities include ETL/ELT workflows, database management, and infrastructure deployment.

Senior Software Engineers will build data processing pipelines and deploy cloud technologies, focusing on big data and machine learning infrastructure. They are expected to write and deploy efficient code within a Kubernetes environment.

The Senior Software Engineer in DevOps will automate scaling of data stacks, build CI/CD pipelines, and enhance data processing infrastructure.

The Lead Data Engineer will develop data infrastructure, manage event structures, design storage architecture, and mentor engineers for better data practices.

The Data Analytics Manager will leverage data to create innovative solutions, perform data storytelling, manage client relationships, and support sales efforts.

This role involves designing and developing backend services, mentoring developers, optimizing code quality, and supporting operational activities while collaborating with product and design 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.