Data Engineer Jobs in Pasadena, CA

The Staff Data Engineer will build and maintain data pipelines for ML models in a collaborative team, focusing on quality and scalability, within a remote work setting.

As a GCP Data Engineer Manager, you'll lead data engineering projects, develop data architectures, mentor teams, and enhance data solutions for clients.

Design and optimize machine learning infrastructure, develop high-performance systems for AI model serving, and ensure model training and evaluation scalability.

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 Data Engineer will build data pipelines for measuring advertising effectiveness, working with large data sets and collaborating with Data Scientists.

In this role, you will design ETL pipelines, manage data infrastructure, mentor engineers, and collaborate with teams to enhance player experiences using data insights.

Responsible for building and (re)architecting payment capabilities and financial data platforms while mentoring engineers and collaborating with cross-functional teams.

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

The Data Engineer will solve engineering challenges using Clojure, collaborate with teams on distributed systems, and handle big data and analytics.

As a Senior Data Engineer, you'll create and maintain data pipelines, collaborate on data infrastructure needs, and automate processes to improve data delivery and scalability.

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

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.

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 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.

The Senior Data Engineer will build and scale data pipelines for audience and ad delivery data, ensuring quality and governance. Responsibilities include integrating with external data solutions and maintaining data workflows across engineering, product, and data science teams.

Collaborate with developers to design and deliver data infrastructure and manage data pipelines and APIs, supporting applications and analytics.

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.

Lead design and implementation of data solutions, mentor teams, establish governance, architect scalable data systems, and provide client engagement.

The Data Engineer will support agile projects focusing on data pipeline development, data quality, and integration with various data sources, ensuring accuracy and reporting capabilities.

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.