Data Engineer Jobs in Berkeley, CA

As a Senior Software Engineer on the Data Integrations and Transformations Platform, you'll design and maintain backend services, mentor engineers, and enhance data access for business-critical applications.

As a Founding Data Engineer, you will architect and implement scalable data ingestion systems, optimize data pipelines, and collaborate with ML engineers. Responsibilities include building a corpus of documents, optimizing Spark jobs, and integrating diverse data sources for user-facing features.

As a Senior Software Engineer, you will design and build components for the Data Operations Platform, improve internal frameworks, and ensure data quality and governance while collaborating with various teams for scalable solutions.

As a Staff Data Engineer, you'll architect and model data, create ETL pipelines, and standardize datasets for compliance teams. You'll guide best practices and lead data solutions while collaborating with various stakeholders.

Zendar seeks a Senior Data Engineer to develop and maintain ETL data pipelines, ensuring data quality for machine learning processes involving autonomous vehicle radar systems. Responsibilities include data management, optimization of workflows, and supporting ML engineers across multiple offices.

The AI Data Engineer will build scalable data pipelines, design systems for data processing, and manage the lifecycle of AI agents, focusing on unstructured data such as video and audio.

As a Senior Data Engineer for Customer Operations, you will develop and maintain data models, pipelines, and visualizations to support decision-making within cross-functional teams and improve customer support experiences.

The Senior Data Engineer will design and maintain data solutions, build ETL pipelines, and create data models to support customer operations, driving data-driven decisions and optimizing data infrastructure.

As a Data Engineer II, you will build and maintain ETL pipelines, analyze requirements, and mentor junior colleagues while supporting customer implementations.

The Data Engineer will manage the full data stack, design database architecture, build ETL pipelines, create data integrations, and oversee reporting and data quality.

The Data Operations Engineer will optimize and maintain data labeling workflows, automate tasks, and ensure quality in data annotation processes.

Lead Glean's engineering team in building and scaling enterprise data management systems, collaborating on product initiatives and delivering robust solutions.

As a Software Engineer on Glean's Data Foundations team, you'll build and scale data ingestion connectors, transforming unstructured content into structured data while ensuring system reliability and security throughout the data processing pipeline.

Responsible for utilizing Hortonworks architecture and tools such as Hadoop and Spark for data analysis and engineering tasks. Candidates should have relevant experience and may be considered for contract-to-hire roles.

Design and develop core data infrastructure for AI platform, focusing on scalable systems, database architecture, and high-throughput data management, enabling efficient data streaming for model training.

Lead the design and development of scalable data acquisition systems, architect core components, and mentor engineers while collaborating across teams to fulfill data integration needs.

As a Senior/Staff Software Engineer, you will enhance data operations, build scalable infrastructure, mentor engineers, and lead projects in a collaborative environment focused on AI and finance.

As a Data Infrastructure Engineer, you'll develop solutions for massive data orchestration, support ML deployment, and lead technical directions for the team.

The Senior Data Engineer will manage data pipelines, ensuring data quality and optimizing ML workflows while supporting multiple engineering teams across locations.

Design and develop scalable data infrastructure for AI platform, optimize database performance, create data pipelines, and mentor junior engineers while collaborating across teams.

As a Staff Software Engineer on the Data Science team, you'll develop and scale data science tools and machine learning models for the company's marketing intelligence platform, ensuring reliability and performance in data-driven solutions.

As a Staff Software Engineer on the Data Science team at Northbeam, you'll design and implement data-driven solutions, scale data products, and develop machine learning models, directly impacting the company's core product.

As a Staff Data Lake Engineer, lead the development of an enterprise data platform, mentor junior engineers, and ensure technical execution in data architecture and strategy while collaborating across teams.

Lead the design and development of scalable data acquisition systems, mentor engineers, and integrate diverse internal and external data sources. Architect platform components for high-volume data processing with a focus on reliability and governance.

As a Senior Staff Software Engineer, you will architect data models and systems, ensuring data integrity and consistency for enterprise use, while collaborating with various teams.