Top Senior Data Engineer Jobs in San Francisco Bay Area, CA

As a Machine Learning Engineer on the On-Device ML team at Grammarly, you will design and implement ML models for on-device features, evaluate their performance, and collaborate with product teams to integrate these capabilities into user interfaces. You will leverage academic research to enhance the technology and launch models while responding to user feedback.

As a Principal Data Engineer, you will design and develop BlackLine's data platform, collaborate with teams to create and optimize data models and visualization solutions, and drive innovation. You will oversee application architecture, provide technical leadership, and ensure that data-driven decisions align with organizational goals.

As a Principal Data Engineer at Atlassian, you will lead the development of scalable datasets and data pipelines, manage analytical data models across various business functions, and enhance data-driven practices within the organization. Your role includes optimizing data storage and retrieval, utilizing advanced analytics tools, and fostering a data-driven culture.

The Principal Engineer will drive technical capabilities in Machine Learning and AI across teams, take on leadership responsibilities, mentor other engineers, and ensure high execution standards. They will also collaborate on significant hands-on development for ML/AI products, shape technical standards, and present to senior leaders.

Join Instacart as a Senior Data Engineer in Finance, where you'll build and maintain critical data pipelines for financial reporting. You'll work with SQL and Python, collaborate with various teams, and have significant ownership over processes while ensuring high-quality solutions are delivered swiftly.

As a Senior Architect, you will provide guidance on DataBricks, design data flow and processing pipelines using modern tools like Spark, and ensure data management and integrity. You'll coach consultants, collaborate with data application owners, and contribute to best practices in a variety of sectors including Healthcare and Financial Services.

As a Principal Data Scientist, you will work on developing machine learning models, conducting experiments to improve customer experiences, and building scalable production systems for vast amounts of transactional data. You'll collaborate closely with engineering and product teams, focusing on cutting-edge technologies in AI and analytics.