Software Engineer, Data and AI Platform

DoorDash, Inc.; San Francisco (CA); In loco; USD 131.000 - 192.000; Tempo pieno

Vantaggi offerti da questo lavoro

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

Descrizione del lavoro

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.

Competenze

• 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.

Mansioni

• 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.

Conoscenze

Go

Python

Production ownership

LLM features

Retrieval & grounding

AI services

Full stack

Formazione

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

Strumenti

Kubernetes

AWS

MCP

Agent frameworks

Tool-calling architectures

Descrizione del lavoro

DoorDash is building the world's most reliable on-demand, logistics engine for delivery! We're looking for talented engineers to help us develop a 24x7, global infrastructure system that powers DoorDash's three-sided marketplace of consumers, merchants, and dashers.

About the Team

Data Platform’s Data User Experience Engineering builds the products every DoorDash employee uses to answer questions with data. That portfolio includes our AI first reporting and authoring surface, Conversational analytics with AI, Semantic and Knowledge layer along with MCP and skills layer plus the full stack infrastructure that lets users and agents reach all of it. Our users span analysts, engineers, operators, and executives across DoorDash, Wolt, and Deliveroo, on a warehouse and OLAP footprint that includes Snowflake, Spark and Clickhouse. The team is a mix of engineers who have built AI & Data platforms and products at scale.

About the Role

You will own the full path from a question to an answer an operator can put in a deck without checking it twice. The BI reporting surfaces are converging, and deciding what that convergence looks like while someone is authoring, building a report, writing a query, asking why a number moved, or asking for the chart they were about to build by hand.

You’re excited about this opportunity because you will…

• Ship agentic analytics features to thousands of users where a wrong number is a real business decision made badly, and accuracy is the product
• Build a data platform for authoring, dashboard runtime, drill-down and cross-filter semantics, scheduling and alerting, content certification and permissions, and the embedding path that puts the same components in front of external users
• Streaming large result sets to the browser, rendering dozens of interdependent tiles.
• Build the AI experience inside that platform: agent-assisted query authoring, generated charts and widgets held to the same governance as hand-built ones
• Evolve the semantic layer metric and dimension modeling, definition governance, lineage and expose metadata in forms a model can actually reason over
• Own the query and adaptive caching path: planning and federation across different query engines and invalidation correctness, and safe execution under agent traffic that bursts and fans out
• Develop AI-enabled services and workflows, including self-serve tooling for creating, evaluating, and improving AI assistants
• Build and operate data discovery and metadata platforms that help users find the right datasets, dashboards, and metrics quickly and confidently

We're excited about you because you have…

• 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, Python and the ability to own a service in production
• Shipped an LLM-powered feature to real users, hands‑on with retrieval and grounding and built or meaningfully extended an eval system
• Built meaningful pieces of data platform products- semantic layers, data discovery, reporting applications, caching systems and data applications
• Familiarity with a cloud-based environment such as AWS and with Kubernetes in production
• Experience with MCP, agent frameworks, or tool‑calling architectures in production
• Experience with traditional and modern reporting or 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

Compensation

The successful candidate’s starting pay will fall within the pay range listed below and is determined based on job‑related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions. Base salary is localized according to an employee’s work location. Ranges are market‑dependent and may be modified in the future.

In addition to base salary, the compensation for this role includes opportunities for equity grants. Talk to your recruiter for more information.

DoorDash cares about you and your overall well‑being. That’s why we offer a comprehensive benefits package to all regular employees, which includes a 401(k) plan with employer matching, 16 weeks of paid parental leave, wellness benefits, commuter benefits match, paid time off and paid sick leave in compliance with applicable laws (e.g. Colorado Healthy Families and Workplaces Act). DoorDash also offers medical, dental, and vision benefits, 11 paid holidays, disability and basic life insurance, family‑forming assistance, and a mental health program, among others.

To learn more about our benefits, visit our careers page here.

See below for paid time off details:

• For salaried roles: flexible paid time off/vacation, plus 80 hours of paid sick time per year.
• For hourly roles: vacation accrued at about 1 hour for every 25.97 hours worked (e.g. about 6.7 hours/month if working 40 hours/week; about 3.4 hours/month if working 20 hours/week), and paid sick time accrued at 1 hour for every 30 hours worked (e.g. about 5.8 hours/month if working 40 hours/week; about 2.9 hours/month if working 20 hours/week).

The national base pay range for this position within the United States, including Illinois and Colorado.

$130,600 – $192,000 USD

About DoorDash

At DoorDash, our mission to empower local economies shapes how our team members move quickly, learn, and reiterate in order to make impactful decisions that display empathy for our range of users—from Dashers to merchant partners to consumers. We are a technology and logistics company that started by enabling door‑to‑door delivery, and we are looking for team members who can help us go from a company that is known as the place you order food to a company that people turn to for any and all goods.
DoorDash is growing rapidly and changing constantly, which gives our team members the opportunity to share their unique perspectives, solve new challenges, and own their careers. We're committed to supporting employees’ happiness, healthiness, and overall well‑being by providing comprehensive benefits and perks including premium healthcare, wellness expense reimbursement, paid parental leave and more.

Our Commitment to Diversity and Inclusion

We’re committed to growing and empowering a more inclusive community within our company, industry, and cities. That’s why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel.

Statement of Non‑Discrimination: In keeping with our beliefs and goals, no employee or applicant will face discrimination or harassment based on: race, color, ancestry, national origin, religion, age, gender, marital/domestic partner status, sexual orientation, gender identity or expression, disability status, or veteran status. Above and beyond discrimination and harassment based on “protected categories,” we also strive to prevent other subtler forms of inappropriate behavior (i.e., stereotyping) from ever gaining a foothold in our office. Whether blatant or hidden, barriers to success have no place at DoorDash. We value a diverse workforce – people who identify as women, non‑binary or gender non‑conforming, LGBTQIA+, American Indian or Native Alaskan, Black or African American, Hispanic or Latinx, Native Hawaiian or Other Pacific Islander, differently‑abled, caretakers and parents, and veterans are strongly encouraged to apply. Thank you to the Level Playing Field Institute for this statement of non‑discrimination.

Pursuant to the San Francisco Fair Chance Ordinance, Los Angeles Fair Chance Initiative for Hiring Ordinance, and any other state or local hiring regulations, we will consider for employment any qualified applicant, including those with arrest and conviction records, in a manner consistent with the applicable regulation.

If you need any accommodations, please inform your recruiting contact upon initial connection.

Notice Regarding Use of AI and Automated Tools: To streamline our hiring process, DoorDash utilizes an automated recruitment tool called Metaview.

How it works: Metaview assists our recruiting team by evaluating job related qualifications and characteristics in connection with hiring. The tool is designed and used to support - rather than replace - human decision‑making; trained personnel make final decisions with meaningful human review and oversight, and DoorDash does not use Metaview or other AI‑enabled tool in a manner that has the effect of subjecting applicants or employees to discrimination based on any protected characteristic or proxy or for engaging in any protected activity under applicable law.

Data Retention, Privacy & Bias Audit: Data collected during this process is retained in accordance with our Candidate Privacy Policy https://help.doordash.com/en-us/legal/article/ax-privacy-notice and applicable state laws. In compliance with New York City Local Law 144, the independent bias audit summary for Metaview is publicly available for review at https://trust.warden-ai.com/metaview/application-review.