"data reliability" Jobs
1738 open tech roles matching “data reliability”, 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 1738 results
Join Anthropic as a Staff+ Research Engineer to build and maintain the RL Data Platform for reliable AI systems.
Join Komodo Health as a Senior Data Platform Engineer to shape core data products that drive better health outcomes.
Join Middesk as a Data Scientist to build AI-driven applications for fraud detection and risk management in a collaborative hybrid environment.
Join Vercel as a Senior Data Engineer to own the reliability of complex financial data and shape business insights.
Join Redpanda as a Staff Software Engineer to design and build systems for the Agentic Data Plane in a hybrid role based in San Francisco.
Own the quality bar for human evaluations at a fast-scaling AI company transforming legal services.
Lead field marketing initiatives and sales enablement for major events at Databricks, focusing on delivering premium experiences and measurable business impact.
Own the architecture and delivery of LLM-powered agents for marketing content workflows at Databricks.
Lead a high-performing engineering team at Databricks to enhance the AI Runtime product for GPU training infrastructure.
Lead a high-performing team of SREs to enhance Okta's IDaaS platform with a focus on reliability and efficiency.
As an Inventory Specialist, ensure inventory accuracy and manage the system of record across production facilities.
Join Databento as a Software Engineer to build and maintain a JavaScript client library for a modern market data platform.
Lead the data strategy and reporting function within the Customer Support organization at Mercury.
Join Mixpanel as a Senior Data Scientist to drive AI-powered product insights and analytics for thousands of companies.
Design and improve the storage platform for Perplexity's products and AI workloads, ensuring reliability and performance.