AI-Powered Data Platform Engineer

DoorDash USA; San Francisco (CA); Vor Ort; USD 131.000 - 192.000; Vollzeit

Benefits dieser Stelle

Health benefits

Zusammenfassung

DoorDash is seeking engineers to own the path from questions to answers in its BI reporting surfaces. You will help converge reporting surfaces, authoring tools, and query-driven insights with strong governance over AI-assisted charts and data pipelines.

Join a team building a data platform powering analytics across analysts, engineers, and executives, with a focus on semantic modeling, data discovery, caching, and multi-tenant data governance in production environments.

Qualifikationen

• Software engineer with 3+ years of industry experience.
• Strong backend fundamentals with Go and Python.
• Shipped an LLM-powered feature for real users.
• Experience with cloud and production-grade Kubernetes.
• Familiar with data platforms and governance.
• Experience with multi-tenant data platforms and reporting tools.

Aufgaben

• Own the full path from a question to an answer in BI reporting.
• Ship analytics features to thousands of users with high accuracy.
• Build a data platform for authoring, dashboards, drill-down and cross-filter semantics.
• Develop AI-enabled services and workflows within the platform.
• Operate data discovery and metadata platforms for quick dataset access.

Kenntnisse

Go

Python

LLM experience

Data platforms

Semantic layer

Data discovery

Reporting

Caching

MCP

Agent frameworks

Tool-calling architectures

Reporting tooling

Data governance

Multi-tenant platforms

Prompt optimization

Full stack

Ausbildung

B.S., M.S., or PhD. in Computer Science or equivalent

Tools

AWS

Kubernetes

Jobbeschreibung

DoorDash is seeking engineers to own the path from questions to answers in its BI reporting surfaces. You will help converge reporting surfaces, authoring tools, and query-driven insights with strong governance over AI-assisted charts and data pipelines.

Join a team building a data platform powering analytics across analysts, engineers, and executives, with a focus on semantic modeling, data discovery, caching, and multi-tenant data governance in production environments.