Sr. Business Intelligence Engineer

Summary

DoorDash is a technology and logistics company focused on empowering local economies. They are seeking a Senior Business Intelligence Engineer to own critical infrastructure, establish API connections, and architect automated AI flows to enhance productivity across teams.

Responsibilities

• 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

Skills

• 3+ years of hands-on experience with DBT
• 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 demonstrated SQL mastery
• 2+ years of Python experience applied to real-world data challenges, including API integrations, data extraction, and workflow orchestration via Airflow or Cloud Composer
• Experience deploying or launching AI models in a business context
• Ability to independently manage multiple high-priority initiatives at once
• Ability to translate complex technical work into clear insights and recommendations for non-technical stakeholders across departments
• Rigorous approach to data quality and pipeline governance
• Ability to build scalable systems that teams across the business can rely on with confidence

Qualifications

Must Haves

• 3+ years of hands-on experience with DBT
• 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 demonstrated SQL mastery
• 2+ years of Python experience applied to real-world data challenges, including API integrations, data extraction, and workflow orchestration via Airflow or Cloud Composer
• Experience deploying or launching AI models in a business context
• Ability to independently manage multiple high-priority initiatives at once
• Ability to translate complex technical work into clear insights and recommendations for non-technical stakeholders across departments
• Rigorous approach to data quality and pipeline governance
• Ability to build scalable systems that teams across the business can rely on with confidence

Benefits

• Opportunities for equity grants
• 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)
• Medical, dental, and vision benefits
• 11 paid holidays
• Disability and basic life insurance
• Family-forming assistance
• Mental health program
• Flexible paid time off/vacation, plus 80 hours of paid sick time per year (For salaried 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) (For hourly roles)
• 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) (For hourly roles)
• Premium healthcare
• Wellness expense reimbursement
• Paid parental leave