"large scale data processing" Jobs
2235 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 2235 results
Join Valence as a Senior Data Scientist to shape data-driven decisions and insights for AI-powered coaching tools.
Join Grafana Labs as a Senior Backend Engineer to influence product development in a fully remote, innovative environment.
Lead a team of program managers to oversee technical programs and ensure successful delivery of AI infrastructure projects.
Join Grafana Labs as a Senior Backend Engineer focusing on databases in a fully remote role based in Spain.
Join Snorkel AI as a Research Scientist to lead the development of frontier benchmarks and datasets in a cross-functional role.
Join Traversal as an AI Adoption Engineer to drive customer success and adoption of AI SRE solutions in enterprise environments.
Lead and develop a team of Designated Support Engineers to provide exceptional support experiences for enterprise customers at Databricks.
Lead validation strategy and execution for advanced AI compute silicon and systems at Graphcore.
Own and scale core accounting operations in a rapidly growing AI infrastructure company.
Join SingleStore as a Senior Software Engineer to lead impactful projects in a collaborative environment focused on cloud-native database technology.
Join Bloomreach as a Senior SRE to lead reliability initiatives for the Fuse team, enhancing data management capabilities across products.
Build internal tools and automation to enhance operational efficiency as a Senior Software Engineer at Handshake.
Lead the Credit & Collections function at Databricks, driving strategy and managing high-value customer relationships.
Join Handshake as a Strategy & Operations Manager to drive R&D initiatives in the fast-evolving AI landscape.
Join CoreWeave as a Senior Applied ML Engineer to tackle challenges in continuous learning for AI agents with a focus on innovative solutions.