Data Engineer Jobs in Oakland, CA

The Data Engineer will design, build and maintain scalable ETL pipelines and data integrations, ensuring data governance and operational excellence while collaborating with cross-functional teams.

As a Data Engineer Intern, you'll build and maintain data pipelines, design datasets, and collaborate with teams to improve data accessibility and quality.

Design and maintain scalable data pipelines and solutions for business decision-making, improving data warehouse performance, and ensuring data accuracy.

Responsible for building and modernizing data science tools and assets, writing analytics software, and guiding data scientists in best practices.

The Data Engineer will design and manage data pipelines, develop datasets for product metrics, and collaborate with teams to ensure robust data integration and processing.

As a Data Engineer at Rhythm360, you will optimize ETL workflows, develop data models, ensure data quality, and collaborate with teams to drive insights in healthcare.

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

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

As Data Engineer at Column, you'll design and build data infrastructure, maintain ETL pipelines, and ensure data quality for banking processes.

As a Data Engineer at Lyft, you will build scalable data pipelines, maintain data quality, and collaborate with cross-functional teams to enhance data infrastructure for insights and analytics.

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.

As a Data Engineer, design and maintain scalable data pipelines and ETL workflows, optimize data management using Python and SQL, and ensure data integrity in a cloud environment.

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

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

The role involves leading AI projects within risk and compliance, developing AI models, and mentoring team members, while ensuring project success and stakeholder management.

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

Design and implement data strategies for enterprise databases and data warehouses, optimize data models, and mentor junior engineers while ensuring data quality and governance.

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.

As an Analytics Data Engineer, you will build data products, maintain data pipelines, perform analyses using SQL and Python, and collaborate with cross-functional teams to drive data-driven product decisions.

As a Data Warehouse Engineer, you'll build scalable data products, design data models, optimize analytics architecture, and enable self-service analytics for stakeholders.

As a Data Scientist, you will analyze data, understand user metrics, shape product development, and collaborate with product and research teams.

Design and develop engaging user experiences for Hebbia's Growth and Data team, building innovative frontend interfaces and enhancing customer value.