Data Engineer Jobs in Oakland, CA

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.

The Backend Engineer will design and implement backend systems and APIs, optimize performance, and mentor junior engineers to enhance user engagement and drive growth for Hebbia's AI platform.

As the Founding Data Engineer, you'll unify data sources, build real-time pipelines, ensure data quality, serve ML & analytics, and optimize systems at scale.

The Senior Software Engineer will enhance Doximity's data platforms, collaborating with data teams to resolve challenges, and implement solutions to improve the data stack.

The role involves designing high-performance backend systems, processing customer SQLs, mentoring teammates, and improving the development environment.

Design, implement, and maintain scalable data infrastructure solutions using Snowflake. Collaborate with stakeholders for data insights and manage data pipelines.

Design, build, and maintain scalable data pipelines for machine learning; optimize performance of computing clusters; collaborate with research teams for model training.

The Data Engineer will enhance data infrastructure and drive data-driven decisions by developing data pipelines, collaborating with teams, and improving data architecture.

The Principal Data Engineer will design and maintain ETL pipelines, optimize data infrastructure, and collaborate with Data Scientists to support AI/ML model development.

As the first data hire, you'll build the data infrastructure, optimize SQL queries, automate workflows, and analyze metrics impacting product and growth initiatives.

The Data Engineer will design and support data infrastructure and products to meet internal and customer needs while promoting a robust data culture.

As a Data Engineer, you'll design, build, and optimize data models and pipelines, ensuring data quality and creating dashboards.

The Senior Data Engineer will architect low-latency systems, build sports betting data products, integrate datasets, develop APIs, and support production systems.

Develop and optimize high-performance data ingestion and processing pipelines for LLM-powered financial applications, handling millions of documents.

As a Data Engineer, you design and optimize data pipelines, warehouses, and lakes, collaborating with analysts and engineers to support BI and ML initiatives.

As a Growth Data Engineer, you'll build and maintain ETL pipelines, ensure data reliability and governance, and collaborate with marketing and engineering teams to optimize data usage for customer growth.

The Staff Data Engineer will design and implement data warehousing solutions, lead design discussions, mentor engineers, and tackle complex data challenges while ensuring data quality and insights delivery.

The Analytical Data Engineer will build and optimize ETL data pipelines, contribute to data infrastructure, and collaborate with data scientists for analysis.

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

As a Senior Data Engineer, you will develop scalable ETL pipelines, optimize storage solutions, and ensure data quality while collaborating with cross-functional teams.

Develop and maintain data visualization components for Visa's component library, ensuring accessibility and user satisfaction, while collaborating with designers and engineers to enhance data experiences.

The Sr. Data Engineer will design and implement data platforms, develop data pipelines using Python and SQL, and ensure system reliability and performance.