AI-Driven Data Platform Engineer

DoorDash, Inc.; San Francisco (CA); On-site; USD 131,000 - 192,000; Full time

Benefits offered by this job

401(k) match

Parental leave

Wellness benefits

Commuter benefits

Paid time off

Paid sick leave

Medical insurance

Dental insurance

Vision insurance

Disability insurance

Life insurance

Family-forming assistance

Mental health program

Job summary

DoorDash, Inc. is seeking engineers for the Data Platform's Data User Experience Engineering team to build data-powered tools used across analysts, engineers, operators, and executives.

You will own the full path from a question to an answer, shaping how reports are authored, queried, and presented, with AI-driven charts, governance, and cross‑filter semantics.

We offer base salary, equity, and a comprehensive benefits package, plus 401(k) matching, parental leave, wellness and commuter benefits.

Qualifications

• BS, MS or PhD in Computer Science or equivalent.
• 3+ years of industry experience in software engineering.
• Strong backend fundamentals, especially in Go and Python; able to own a service in production.
• Shipped an LLM-powered feature to real users; hands-on with retrieval and grounding and built or extended an eval system.
• Built meaningful data platform pieces: semantic layers, data discovery, reporting apps, caching systems and data applications.
• Familiarity with AWS and Kubernetes in production.
• Experience with MCP, agent frameworks, or tool-call architectures in production.
• Experience with traditional and modern reporting/analytics tooling, data governance, controls and multi-tenant data platforms.
• Prompt and context optimization at scale - caching, token budgeting, cost/latency tuning.
• Full stack experience is a plus.

Responsibilities

• Own the full path from a question to an answer an operator can put in a deck without checking it twice.
• Converge BI reporting surfaces while authoring, building reports, writing queries, and diagnosing number movements.
• Develop AI-enabled services and workflows for self-serve tooling to create, evaluate, and improve AI assistants.
• Build and operate data discovery and metadata platforms to help users find datasets, dashboards, and metrics quickly.

Skills

Go

Python

Production ownership

LLM features

Retrieval & grounding

AI services

Full stack

Education

B.S./M.S./PhD in CS

Tools

Kubernetes

AWS

MCP

Agent frameworks

Tool-calling architectures

Job description

DoorDash, Inc. is seeking engineers for the Data Platform's Data User Experience Engineering team to build data-powered tools used across analysts, engineers, operators, and executives.

You will own the full path from a question to an answer, shaping how reports are authored, queried, and presented, with AI-driven charts, governance, and cross‑filter semantics.

We offer base salary, equity, and a comprehensive benefits package, plus 401(k) matching, parental leave, wellness and commuter benefits.