Top Remote Data Engineer Jobs in San Francisco Bay Area

As a Senior or Lead Big Data DevOps Engineer, responsible for setting up, scaling, and maintaining Big Data infrastructure and tools in private and public cloud environments. Drive efficiency improvements, lead architecture and design efforts, ensure availability and reliability of infrastructure, and build operational tools. Evaluate, design, and deploy monitoring tools and practices. On-call support of production systems.

Work as a Senior Associate in SAP Human Capital practice, helping clients maximise the value of their SAP investment by implementing SAP SuccessFactors solutions, leading data migration projects, and configuring Employee Central. Responsible for full life-cycle implementations and addressing client needs in both functional and technical areas of Employee Central and other SuccessFactors solutions.

Seeking a Senior Data Engineer to create and own a data engineering roadmap, collaborate with product and engineering teams, and translate requirements into actionable solutions. Must have 5+ years of core data engineering experience and technical expertise in SQL, Python, Snowflake, dbt, Airflow, Kubernetes, Docker, DataDog, and AWS.

As a Senior Data Operations Specialist at ServiceNow, you will play a significant role in evolving foundational Data services for AI and ML solutions. You will collaborate with AI Product Managers, engineers, and BUs to research, troubleshoot, and resolve data requests. The role requires a deep understanding of the NOW platform and the ability to address issues effectively and timely.

As a Senior Engineering Manager of Machine Learning at Dropbox, you will lead a team of engineers to build and scale Dash, one of Dropbox's AI offerings. Your responsibilities include driving product monetization, fostering a collaborative culture, providing strategic direction, and contributing to technical and product strategies. The ideal candidate has a strong background in software engineering, distributed systems, and backend infrastructure, as well as experience in machine learning. This is a senior-level position requiring 7+ years of software engineering experience and at least 3+ years in direct management roles.

The Staff Machine Learning Scientist will be responsible for developing generative AI applications for healthcare, collaborating with cross-functional teams, conducting healthcare-focused research, and designing and implementing generative AI models for healthcare scenarios.

Design and develop data models in Snowflake with DBT, write advanced SQL queries, collaborate with business partners, promote data models for self-service reporting, follow best practices in data governance, and leverage various tools for ETL and analytics.