About the Team

The Core BI team at DoorDash builds and operates the services, integrations and automation that power business intelligence across DoorDash, Deliveroo and Wolt. Our platforms help analysts, Analytics Engineers, Data Scientists, Software Engineers and business teams discover trusted data and make informed decisions at scale.

We combine software engineering, platform ownership, and a strong user focus to make BI tooling reliable, secure, scalable and self-service. The team supports the current BI ecosystem while helping shape a more integrated experience across the DoorDash group.

About the Role

As a Software Engineer on the Core BI team, you will build and operate the backend services, APIs and infrastructure our BI platforms run on. This is a hands-on software and platform engineering role: services and integrations, identity and access automation, observability, reliability and developer experience. BI is the domain you serve (primarily Looker and Sigma, and the systems around them), but the problems are backend and platform problems.

You will own problems from discovery through design, implementation, deployment, and operational support. You will work closely with Data Engineers, Analytics Engineers, Data Scientists, Software Engineers, Product Managers and business teams to turn recurring user needs into durable, self-service capabilities. If you're energized by solving technical problems with data and comfortable being deeply embedded across several domains, this role is for you!

You’re excited about this opportunity because you will…

• Design, build, test, deploy and operate the backend services, APIs and automation that the BI platforms across DoorDash, Deliveroo and Wolt depend on
• Automate the platform lifecycle end to end (provisioning, metadata, permissions, migrations, archival and validation) so administration stops being manual work
• Build the integrations between BI platforms and the wider ecosystem: warehouses, identity providers, orchestration, CI/CD and internal developer tooling
• Improve the availability, observability, performance, scalability and security of the systems you own, and carry them in production
• Use AI tooling as part of how you engineer, and where it fits, build LLM-backed capabilities held to the same reliability and governance bar as anything else we ship
• Raise the engineering bar on the team, from service design and code review to testing, CI/CD and documentation, and improve the developer experience for everyone building on the platform

We’re excited about you because…

• 3+ years of professional software engineering experience building and operating production backend, platform or infrastructure systems
• Readable, maintainable, well-tested code in Python, plus comfort with SQL and a working understanding of data modelling and warehousing concepts
• Experience building and owning APIs, integrations or automation in production, with sound judgement on service boundaries, authentication, data contracts and failure modes
• Hands-on with CI/CD, containers and Kubernetes, observability, debugging and incident response, and you expect to operate what you build
• Hands-on experience using AI tools (LLMs, agentic workflows, AI-assisted development) as part of how you engineer, and judgement about where they help and where they do not
• End-to-end ownership of ambiguous problems, clear communication with technical and non-technical teams, and comfort self-organising in a fast-paced, distributed environment

Nice to Have

• Experience owning or integrating with BI platforms such as Looker, Sigma or comparable tools, and familiarity with semantic layers such as LookML or dbt
• Experience automating identity and access through Okta, SCIM or role-based access controls, or building multi-tenant platforms across brands and regions
• Experience shipping LLM-backed features to real users (retrieval, grounding and evaluation), or with MCP, agent frameworks or tool-calling in production