Top Remote Senior Level Data Engineer Jobs in San Francisco, CA

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.

Seeking a Senior Data Engineering Manager to lead the Data Engineering team supporting Customer Support and Services at Atlassian. Responsibilities include team leadership, technical guidance, collaboration with stakeholders, and driving innovation in data products.

ServiceNow is seeking a Senior Director of AI Ethics and Data Governance to spearhead the strategic evolution and operationalization of data governance and AI ethics capabilities. This role involves providing strategic legal counsel, advising on AI & Data Ethics, leading a high-performing team, evolving data governance strategy, fostering data responsibility culture, championing innovation, and offering thought leadership on data governance best practices.

Join the SAP Data and Analytics practice at PwC to help clients maximize the value of their SAP investment. Responsibilities include improving data management and governance processes to enhance decision-making. As a Manager, work with a team to solve complex business issues and develop new skills outside your comfort zone.

Lead Machine Learning Engineer role at Grammarly, responsible for building scalable ML solutions for marketing problems, driving business impact, and collaborating with cross-functional teams.

The Senior Data Engineer at Instacart will work on defining and maintaining company-wide datasets, building critical data integration pipelines, and collaborating with internal and external stakeholders to deliver high-quality solutions. The role offers autonomy, ownership, and the opportunity to drive organization-wide initiatives.

Embroker is seeking a Data Management & Analytics Director to lead data management initiatives, rebuild data infrastructure, and integrate new BI tools. Responsibilities include overhauling reporting data warehouse, ensuring data accuracy, implementing governance practices, and providing strategic recommendations based on insurance data experience.