The role involves owning the full path from a question to an answer for operators at DoorDash, focusing on building a reliable data platform for analytics and reporting. The team, Data Platform’s Data User Experience Engineering, develops products that enhance data accessibility for various users across the organization. The position emphasizes accuracy in business decision-making through agentic analytics features and AI integration. Candidates will work on evolving semantic layers and developing AI-enabled services to improve user experience.

• B.S., M.S., or PhD. in Computer Science or equivalent.
• 3+ years of industry experience in software engineering.
• Strong backend fundamentals, especially in Go and Python.
• Experience shipping an LLM-powered feature to real users.
• Familiarity with cloud-based environments such as AWS and Kubernetes.
• Experience with traditional and modern reporting or analytics tooling.

• Ship agentic analytics features to thousands of users.
• Build a data platform for authoring, dashboard runtime, and content certification.
• Stream large result sets to the browser and render interdependent tiles.
• Develop AI-enabled services and workflows for self-serve tooling.
• Evolve the semantic layer for metric and dimension modeling.
• Own the query and adaptive caching path for safe execution under agent traffic.