Data Engineer Jobs in Pasadena, CA

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 Staff Data Engineer will architect and operate the Databricks lakehouse, managing data ingestion, governance, and analytics collaboration with cross-functional teams.

You will develop a Ground Data System for a lunar mission, integrating backend systems, collaborating with teams, and ensuring mission success through validation, verification, and tool development.

The Senior Data Engineer will develop reliable data solutions, lead data architecture designs, and mentor team members in a fast-paced environment to support K2 Space's mission-critical projects.

Develop backend services and data pipelines for 3D printing systems, enabling real-time data access and functionality for quality monitoring and machine learning integration.

Seeking a Sr. Data Engineer to create ETL/ELT data pipelines, optimize performance, ensure data quality, and collaborate with teams to support analytics and machine learning efforts.

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 Data Integration Developer will design and implement data integration solutions, manage ETL processes, and ensure data quality and compliance by collaborating with cross-functional teams.

Architect and implement backend services and data pipelines for 3D printing systems, manage petabyte-scale data feeds, and collaborate on machine learning integrations.

As a Consulting Systems Engineer, you will lead technical pre-sales, design AI and data solutions, and engage with customers to define integrated technology solutions.

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

As a Senior Data Engineer, you will design and develop AI-powered data solutions, investigate tools, and collaborate with engineering to enhance Sleuth's platform.

The role involves collaborating with various teams to design datasets for AI model training, developing frameworks for data processing, and contributing to data management tools, all while applying strong ML and software engineering skills.

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

The Software Engineer will design and build data pipelines for hardware analysis, focusing on collaboration with teams to extract insights from simulation results.

The C&DH Engineer will define subsystem architectures, manage hardware selection, conduct analyses, and resolve technical issues for space vehicles.

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.

As a Field Deployment Engineer, you'll integrate customer systems with SYNC, managing data extraction, transformation, and API-driven integrations while ensuring data integrity and compliance.

Collaborate with cross-functional teams to develop solutions in Big Data and Business Intelligence, focusing on modern Java development and software architecture.

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.

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

The BI Lead will architect and build a centralized data lake, implement ingestion frameworks, and develop advanced attribution models, while ensuring analytics excellence across the company.

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