Data Engineer Jobs in Oakland, CA

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

The Data Engineer will develop and maintain data pipelines and warehouse for blockchain analytics, ensuring data quality and accessibility. Collaborates with data teams to inform product decisions and improve operations.

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

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

A Principal Software Engineer will enhance and deliver AI/ML technology products, collaborating across teams to improve engineering practices and leading AI/ML feature development.

As a Python engineer on the data platform team, you'll enhance tools for data pipelining and analytics, collaborate with teams to address challenges, and improve software engineering culture at Doximity.

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

Develop security infrastructure, architect systems for data management, mentor junior engineers, work on product security, and collaborate widely within the team.

As a Senior Data Engineer, you'll design and develop models to integrate diverse data sources for analytics and AI applications, ensuring data consistency and quality across domains.

Lead and architect systems impacting sales, order, finance, and support teams. Design solutions between AWS and Salesforce, improve data reliability, mentor juniors.

The Software Engineer will design and build data integration pipelines, metadata management systems, and implement data quality monitoring for enterprise customers. Collaborate with security teams to ensure compliance and optimize enterprise performance.

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

As a Staff Software Engineer in the Data Platform group, you'll lead architecture decisions, mentor engineers, and enhance operational systems while collaborating with cross-functional teams to shape data-based solutions.

As a Senior Data Engineer, you will design and maintain data pipelines, define governance standards, and collaborate across teams to enhance Headway’s data architecture.

The Software Engineer will enhance Benchling's Notebook product by managing large-scale projects, developing backend and frontend solutions, and collaborating with cross-functional teams.

The Senior Software Engineer will design scalable data infrastructure, improve product quality, lead projects, and mentor junior engineers.

As a Senior Data Engineer, you will design and manage ETL pipelines, create data models, and ensure data quality for compliance efforts.

The Marketing Data Engineer will build and manage data pipelines, develop datasets for business metrics, and ensure data integrity, collaborating with various teams to optimize marketing performance.

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.

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

The Finance Data Engineer will build and optimize data pipelines, automate finance processes, and collaborate with teams to enhance data-driven decisions.

The role involves building a data platform, developing APIs, and ensuring software quality and reliability in a collaborative environment.

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