Sr. Business Intelligence Engineer

DoorDash USA

New York (NY)

On-site

USD 118,000 - 174,000

Full time

14 days+
Application generator

Get a reply from this employer — a resume and cover letter tailored to exactly what they’re hiring for.

Get past ATS filters

Benefits offered by this job

401(k) with employer matching
16 weeks paid parental leave
Medical, dental, vision benefits
Wellness benefits & commuter benefits

Job summary

DoorDash is seeking a senior BI engineer to own critical data infrastructure, integrate external data sources, and architect automated AI data flows across teams. You will master the full data stack, including DBT, Looker, BigQuery, Fivetran, Census, Cloud Functions, Salesforce, and NetSuite, while partnering with stakeholders to deliver governance and scalable pipelines.

You will drive GTM-aligned data initiatives, deploy AI models in business contexts, and manage multiple high-priority efforts

Qualifications

  • 3+ years of hands-on experience with DBT and at least 1 year owning and architecting production-grade data pipelines end-to-end
  • 4+ years owning and administering a BI tool such as Looker, Tableau, or Mode
  • 4+ years of SQL mastery
  • 2+ years of Python applied to real-world data challenges including API integrations and workflow orchestration
  • Experience deploying AI models in a business context and scaling capabilities
  • Proven ability to manage multiple high-priority initiatives and translate technical work for non-technical stakeholders

Responsibilities

  • Build foundational AI infrastructure and data pipelines shaping organization-wide productivity
  • Work with a modern tech stack including DBT, Looker, BigQuery, Fivetran, Census, Cloud Functions, Salesforce and NetSuite
  • Integrate systems and data between SevenRooms and DoorDash in novel ways
  • Collaborate with GTM, Finance, Operations and other teams to surface actionable data
  • Own governance and control mechanisms to ensure data pipeline accuracy and reliability

Skills

DBT & data modeling
SQL mastery
Python for data processing
API integrations
Airflow / Cloud Composer
Data governance & quality

Education

Math, Physics, Statistics, Economics, CS

Tools

DBT
Looker
BigQuery
Fivetran
Census
Cloud Functions
Salesforce
NetSuite
Airflow
Cloud Composer

Job description

About the Team

Our Business Intelligence team exists at the intersection of data and strategy, partnering closely with every department to ensure information is accessible, accurate, and actionable. We build the data products, pipelines, and infrastructure that power decision‑making across the organization — from surfacing new business insights to moving data between systems with precision and reliability. As part of the DoorDash family, we are deeply focused on integrating SevenRooms's data ecosystem into the broader organization, creating connections that compound in value over time. We are a collaborative, business‑first team that believes great data infrastructure is foundational to every meaningful outcome the company achieves.

About the Role

In this role, you will sit at a strategic vertex within our technology organization, owning critical pieces of infrastructure that the entire business depends on. You will hit the ground running — establishing new API connections to external data sources, modeling and surfacing data to key stakeholders, and architecting automated AI flows that expand productivity across teams. A significant focus will be on GTM‑aligned data initiatives, as well as building the underlying systems that enable AI capabilities within our database and business platforms. You will also play a vital integration role, marrying data between SevenRooms and DoorDash in ways that have yet to be fully realized, making this both a highly technical and highly strategic position. Within 6 to 12 months, you will be expected to have deep familiarity across our full data stack — including DBT, Looker, BigQuery, Fivetran, Census, Cloud Functions, Salesforce, and NetSuite — independently driving initiatives across multiple departments and establishing governance standards that ensure pipeline accuracy and trust at scale. You will report into the Manager of Business Intelligence on our Data & Analytics Team under the Strategy & Operations - In-Store organization.

You're excited about this opportunity because you will...
  • Build foundational AI infrastructure and data pipelines that directly shape the scalability and productivity of the entire organization
  • Work across a modern, expansive tech stack including DBT, Looker, BigQuery, Fivetran, Census, Cloud Functions, Salesforce, NetSuite, and more
  • Serve as a strategic link between SevenRooms and DoorDash, integrating systems and data in ways that haven't been tackled yet
  • Partner closely with stakeholders across every department — GTM, Finance, Operations, and beyond — to surface data that drives real decisions
  • Own governance and control mechanisms that ensure accuracy and reliability across all data pipelines
We're excited about you because...
  • You have a degree in Math, Physics, Statistics, Economics, Computer Science, or a similar domain
  • You have 3+ years of hands‑on experience with DBT and at least 1 year owning and architecting production‑grade data pipelines end‑to‑end, and 4+ years owning and administering a BI tool such as Looker, Tableau, or Mode
  • You have 4+ years of demonstrated SQL mastery and 2+ years of Python experience applied to real‑world data challenges, including API integrations, data extraction, and workflow orchestration via Airflow or Cloud Composer
  • You have experience deploying or launching AI models in a business context and can confidently contribute to building the infrastructure needed to scale those capabilities further
  • You have a track record of independently managing multiple high‑priority initiatives at once, translating complex technical work into clear insights and recommendations for non‑technical stakeholders across departments
  • You bring a rigorous approach to data quality and pipeline governance, with the ability to build scalable systems that teams across the business can rely on with confidence

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.

$118,300 — $174,000 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
Get your free, confidential resume review.

or drag and drop your file here.

Similar jobs

Similar jobs worth comparing

Sr. Business Intelligence Engineer
Sr. Business Intelligence Engineer

DoorDash USA • United States

Remote
USD 118,000 - 174,000
401(k) plan with employer matching
16 weeks of paid parental leave
wellness benefits
+4
Sr. Business Intelligence Engineer
Sr. Business Intelligence Engineer

DoorDash • Washington

On-site
USD 118,000 - 174,000
401(k) matching
Paid parental leave
Wellness benefits
+10
Sr. Business Intelligence Engineer
Sr. Business Intelligence Engineer

DoorDash • New York (NY)

On-site
USD 118,300 - 174,000
Equity grants
401(k) with employer matching
Paid parental leave
+3
Sr. Business Intelligence Engineer
Sr. Business Intelligence Engineer

DoorDash • Los Angeles (CA)

On-site
USD 118,000 - 174,000
Equity grants
401(k) with employer matching
Paid parental leave (16 weeks)
+8
Analytics Engineer, Data Science
Analytics Engineer, Data Science

DoorDash • Austin (TX)

On-site
USD 117,000 - 173,000
401(k) plan with employer matching
16 weeks paid parental leave
Wellness benefits
+1
Analytics Engineer, Data Science
Analytics Engineer, Data Science

DoorDash • Chicago (IL)

On-site
USD 117,000 - 173,000
401(k) plan with employer matching
Paid parental leave
Wellness benefits
+1
Data Analyst, In-Store
Data Analyst, In-Store

DoorDash • Los Angeles (CA)

On-site
USD 98,000 - 145,000
401(k) matching
Parental leave
Health insurance
+2
Data Analyst, In-Store
Data Analyst, In-Store

DoorDash • Seattle (WA)

On-site
USD 98,000 - 145,000
401(k) with employer matching
16 weeks paid parental leave
Wellness benefits
+10
Analytics Engineer, Data Science
Analytics Engineer, Data Science

DoorDash • Los Angeles (CA)

On-site
USD 125,000 - 210,000
Medical, dental, vision benefits
401(k) with company match
Parental leave and wellness benefits
Manager, Data & Analytics, In-Store
Manager, Data & Analytics, In-Store

DoorDash • Austin (TX)

On-site
USD 141,000 - 208,000
Equity grants
401(k) with employer matching
16 weeks paid parental leave
+2