Top Hybrid 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.
Enforcing data policies, developing ETL/ELT jobs, identifying data integrity issues, training analysts, optimizing databases, collaborating with data teams.
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.
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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.
Design, implement, and scale data products to support data processing and analytical needs. Transform raw data into actionable insights, collaborate with cross-functional teams, and ensure data accuracy and availability.
GoodRx is seeking a Data Engineer II to collaborate with cross-functional teams in developing and maintaining data pipelines using cloud technologies. Responsibilities include defining data specifications, deploying data processing pipelines, and analyzing large datasets. The ideal candidate has 2+ years of experience in cloud data spaces and engineering data pipelines with big data technologies.
Design and implement data warehouse, construct data pipelines, empower users to explore data, lead QA initiatives, optimize data processes, offer technical recommendations, collaborate with team members.
The Machine Learning Engineer at ZS will be responsible for building, orchestrating, and monitoring model pipelines, scaling machine learning algorithms, enhancing ML engineering platforms, implementing ML Ops, writing production-ready code, collaborating with client teams, and researching and evaluating new technologies.
Lead Data Engineer responsible for designing and elevating metrics for consumer-facing search, recommendations, promotions, and messaging experiences at Disney Entertainment & ESPN Technology. Work with engineering teams to ensure data availability, build workflows, analyze complex datasets, and drive success for streaming applications like Disney+, Hulu, ESPN+, and Star+.
Research and build high-impact end-to-end machine learning systems for customer growth, drive the design of scalable ML solutions in production, mentor engineers and data scientists, contribute back to research community
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