Data Engineer Jobs in Glendale, CA

Design and optimize data pipelines for integration and analysis, ensuring data quality while collaborating with a cross-functional scrum team.

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

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.

The role involves designing, optimizing, and maintaining large-scale signal and training data systems, collaborating with ML engineers to improve workflows, and ensuring system performance and data quality.

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.

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

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 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.

The Senior Data Engineer will build and maintain scalable data platforms and pipelines, lead a team, and collaborate across functions to optimize data workflows and decision-making.

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

As a Software Engineer for Data at Whatnot, you'll develop scalable data services, drive innovation, and ensure system performance while collaborating cross-functionally on data integration.

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.

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

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.

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.

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

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

The Vice President, Senior Data Analytics Engineer will design and optimize data models, ensure alignment with business goals, lead solution discussions, and uphold data governance policies. The role necessitates collaboration with stakeholders to develop effective data solutions.