Data Engineer Jobs in Berkeley, CA

The Data Integration Engineer will build and support data integrations, ensure timely and validated data delivery, and troubleshoot issues in a fast-paced environment.

Develop and optimize AI models and algorithms while engineering data solutions in a collaborative environment to improve healthcare outcomes.

The Distinguished Data Engineer will architect data solutions, lead teams, and collaborate cross-functionally to leverage large data sets, ensuring data integrity and promoting best engineering practices.

The Sr. Distinguished Data Engineer will lead technical strategy for consumption platforms, ensure system reliability and performance, and mentor talent at Capital One.

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

As a Staff Data Engineer, you will architect and maintain ETL pipelines, manage a central data lake, and ensure data quality while collaborating with cross-functional teams to meet data needs.

The Senior Engineer will architect and lead development on data systems, ensuring scalability and efficiency while collaborating with cross-functional teams.

The Software Engineer, Data Platform will develop systems and infrastructure for data access, collaborate across teams, and ensure robust data platform performance.

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.

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.

Manage AI model development and validation, lead large projects, provide strategic client interaction, and foster high-performing teams for operational excellence.

Develop and enhance machine learning models, mentor juniors, maintain standards, and build client relationships while navigating complex situations.

The Lead Data Engineer will design and implement AI-powered solutions, collaborate with cross-functional teams, and optimize data processing pipelines.

The role involves designing, developing, and maintaining high-performance backend services while leading technical design, collaborating with various teams, and mentoring engineers.

Lead the Data Curation team, transforming complex biomedical and healthcare data into interoperable models, overseeing data integration and governance, and mentoring engineering staff.

Build the data platform from scratch, architect data systems, analyze user engagement, optimize financial performance, and execute experiments.

Develop and maintain data infrastructure for AV safety by building data pipelines, conducting analyses, and assessing events to inform safety metrics and regulatory compliance.

As a Data Engineer, you will develop and maintain scalable data pipelines, support real-time analysis, and ensure data reliability and quality for Fable's cybersecurity platform.

The Data Engineer will design and manage data infrastructures, implement quality monitoring systems, collaborate across teams, and build dashboards to support business analytics.

The ERP Data Engineer will develop ERP integrations, manage data flows between systems, enhance data pipelines, and automate workflows, focusing on the Palantir Foundry platform.

The role involves building ETL pipelines for cloud billing data, ensuring data quality, designing data models, and optimizing workflows.

The Finance AI Solutions Engineer will develop AI-powered tools, build prototypes, collaborate with finance teams, and enhance data workflows in finance operations.

The Staff Data Engineer will design and optimize data pipelines, collaborate with stakeholders, mentor team members, and lead architectural decisions in data infrastructure.

As Principal Engineer in Data Reliability at Xero, you'll enhance software delivery through technical leadership, support PostgreSQL migration, and innovate tooling and processes, focusing on engineering excellence and cross-functional collaboration.

As a Senior Data Infrastructure Engineer, you will build and maintain a comprehensive data platform, collaborate with cross-functional teams, and optimize data processes to enhance mental healthcare technology.