Top Remote Data Engineer Jobs in San Francisco Bay Area

Join Square's Measurement Machine Learning team as a senior Machine Learning Engineer to develop cutting-edge ML models and algorithms for strategic decision-making. Work on data-driven attribution solutions and collaborate with various stakeholders to refine growth strategies.

Data Engineer II role at Wipfli, responsible for designing, building, and deploying Business Intelligence solutions. Collaborate with stakeholders to develop scalable data solutions, ensure data accuracy, and perform ETL operations. Proficient in Microsoft T-SQL, SSAS, DAX, Power BI, Azure DevOps. Requires Bachelor's Degree in IT or relevant field and 3-5 years of experience.

As a Machine Learning Engineer on the Embeddings team at Liftoff, you will have end-to-end ownership of ML models, adopt or build new technologies for training and serving ML models, mentor team members, monitor latest ML research, and influence the roadmap for your team.

Enforcing data policies, developing scalable automated ETL/ELT jobs, identifying data integrity issues, training analysts, and collaborating across data teams in a fast-paced environment.

Seeking a Senior Machine Learning Engineer with expertise in attribution space to expand Square's measurement system. Responsibilities include building data science and ML solutions, partnering with stakeholders, and staying updated on advancements in machine learning.

Design and build ML architectures and data pipelines for large-scale data repositories. Work on Clari's AI models and platform. Collaborate with stakeholders to deliver enterprise products. Fully remote opportunity in the United States.

Lead a team of Machine Learning Engineers in developing ML solutions across marketing, product, and operations. Collaborate with cross-functional teams to build machine-learning based systems and guide strategic decisions in machine learning and data use.