"large scale data processing" Jobs
5429 open tech roles matching “large scale data processing”, taken straight from company career pages — not reposted from other job boards. Most in demand right now: Python, AI/ML, Kubernetes. Every listing is re-checked daily and closed roles are removed.
Showing 20 of 5429 results
Join MongoDB as a Software Engineer to lead a team in building automated testing frameworks for application modernization.
Join Roboflow as a Machine Learning Engineer to enhance our inference engine and contribute to impactful computer vision projects.
Lead operations across multiple data center sites in the U.S. East, ensuring performance, reliability, and operational excellence.
Join Databricks as an Applied AI Engineer to build personalized learning experiences using machine learning and knowledge representation.
Join Instacart as a Senior Software Engineer to build platforms for real-time understanding of grocery inventory.
Lead product data analysis to shape strategy and measure impact of healthcare AI products at Hippocratic AI.
Join thatgamecompany as a Senior Machine Learning Engineer to drive core ML models and data pipelines in a fully remote role.
Join Dropbox as a Data Analytics Partner to leverage data in shaping hiring strategies and improving talent acquisition processes.
Drive cross-functional execution of data center programs at Anthropic, ensuring timely delivery and operational readiness.
Join CoreWeave as a Staff Software Engineer to lead the development of a Kubernetes-native inference platform for AI workloads.
Lead the Infrastructure Compute Procurement function at Anthropic, managing a multi-billion dollar procurement portfolio.
Build and operate production ML systems for Pegasus, focusing on reliability and performance in a hybrid work environment.
Own the chemical processing equipment for silicon heterojunction solar cells at SpaceX, ensuring performance and reliability for Starlink's production line.
Join CoreWeave as a Senior Software Engineer to build and scale a platform for advanced engineering simulation and AI workflows.
Own the core systems for scaling Ambience's infrastructure, focusing on database architecture and performance optimization.