Data Engineer Jobs in Pasadena, CA

As a Data Engineer at Whatnot, you'll design data architectures, implement data workflows, ensure data quality, and support analytics across teams.

As a Senior Software Engineer, you will architect and maintain data infrastructure, build scalable data pipelines, and collaborate with cross-functional teams to support business goals.

The Senior Data Engineer will build scalable data systems, optimize data workflows, and collaborate with teams to enhance data-driven decisions.

The Data Engineer will enhance the enterprise Data Lake by integrating data sources, ensuring data accessibility, and supporting analytical teams through data ingestion, transformation, and governance in both cloud and on-prem environments.

Design and maintain scalable data pipelines and models, automate workflows, mentor engineers, and ensure data quality for player insights.

The Data Engineer will build and maintain the data pipeline, manage data quality, and enable self-serve analytics for various departments. Responsibilities include designing schemas, ingesting data, and collaborating with stakeholders to create and scale the data platform.

As an Engineer II, you will design, develop, and support big data applications, manage day-to-day operations, troubleshoot data issues, and implement data services using technologies like Hadoop and Spark.

The Senior Data Engineer will handle large-scale data problems, ensuring efficient data pipelines, and participate in end-to-end software development lifecycle, collaborating on system architecture and cost optimization.

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

The Data Engineer will build and scale data systems and machine learning models, collaborate with team members, and enhance data pipelines and quality systems for Netflix's Knowledge Graph.

The Senior Big Data Engineer designs and implements data solutions, including coding ingestion pipelines and collaborating with teams on data governance and quality initiatives.

The Senior Data Protection Engineer ensures the organization's data protection infrastructure's design, implementation, and maintenance, providing technical guidance, managing projects, and developing policies.

Suno seeks a Data Engineer to design and maintain data systems, optimize performance, and collaborate with teams to drive insights and product development.

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.

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 Staff Data Engineer, you'll design data models and pipelines, mentor engineers, and lead initiatives to enhance Scribd's data platform, ensuring quality and scalability.

The Senior BI Developer designs and implements enterprise BI solutions, focuses on data integration and ETL processes, collaborates with teams, and ensures data quality and governance.

Seeking a Data/Reporting Engineer to support data collection, processing, and visualization efforts, focusing on turning raw data into insights for reporting.

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.

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.

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

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

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.

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