Data Contributor Jobs at DoorDash with Visa Sponsorship
Data Contributor jobs at DoorDash sit at the intersection of logistics intelligence and consumer behavior analytics, supporting the data pipelines that drive one of the largest delivery platforms in the U.S. DoorDash has a consistent track record of sponsoring work visas for data professionals across a range of visa categories.
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Get Access To All JobsAbout the Team
The SevenRooms Data & Analytics team is the foundational data hub for the SevenRooms business — owning the pipelines, models, dashboards, and predictive systems that power decisions across GTM, Product, Finance, and Partnerships. We sit at the intersection of SevenRooms and the broader DoorDash data ecosystem, and we partner globally with teams across the US, UK, UAE, and Australia supporting all customer segments from SMB through Enterprise. We design and maintain the pipelines, models, and infrastructure that connect SevenRooms' systems with the broader DoorDash data ecosystem — and we're investing aggressively in making our datasets ready for both human and AI consumption.
About the Role
We're hiring a Manager of Data & Analytics to lead the SevenRooms D&A team — a team of six (and growing to eight) analysts and engineers responsible for the data products, AI systems, and reporting infrastructure that the rest of the business runs on. You will be both a people leader and a senior technical voice in the room: coaching analysts and engineers on their craft, owning the data roadmap end-to-end, partnering with executive stakeholders across geographies and segments, and rolling up your sleeves on the highest-complexity work. In your first 90 days, you will absorb the team's in-flight roadmap, build trust with stakeholders across S&O, GTM, Product, Finance, and Partnerships, and partner with leadership on the prioritization framework that governs what the team takes on next. Our 2026 roadmap spans the full data value chain: GenAI agents that audit Salesforce in real time, churn and ICP models that drive CSM and AE prioritization, the MRR/ARPV reporting layer that finance and leadership run the business on, and the Netsuite integration that will modernize how we report revenue.
You will report into the Senior Manager, Strategy & Operations in our In-Store organization.
You're excited about this opportunity because you will…
- Lead, coach, and grow a team of senior analysts and BI engineers — running performance, career development, and hiring end-to-end.
- Own the D&A roadmap across GTM, Product, Finance, and Partnerships, balancing the team's investment between predictive AI/ML systems, traditional reporting, and cross-functional analytics.
- Act as the senior data voice in executive conversations — translating business problems into technical scope, pushing back when a request is the wrong shape, and influencing how leaders across segments make decisions.
- Translate narrow, well-defined GTM problems into shipped solutions — designing prompts, integrating with Salesforce and our GTM stack via APIs, and instrumenting the leading indicators that prove ROI.
- Partner closely with GTM Engineering, GTM Systems, and Revenue Insights to define a clean "Build vs. Run" operating model and unlock the next generation of AI-powered GTM products.
- Contribute to the team-wide AI developer infrastructure (skills libraries, MCP integrations, prompt frameworks) that makes every D&A engineer and analyst faster at deploying AI.
- Help establish the technical patterns and reusable components that will power our next generation of GTM AI products as the function scales.
We're excited about you because…
- 6+ years of experience in data analytics, BI engineering, or analytics engineering in a B2B SaaS environment, with demonstrated technical depth in SQL, DBT, and a modern cloud data warehouse (Snowflake or BigQuery).
- 2+ years of people management experience leading a team of analysts, engineers, or a hybrid of both — including hiring, performance management, and career development.
- Hands-on experience owning enterprise data infrastructure (Looker or equivalent BI tooling, DBT modeling at scale, Salesforce-to-warehouse pipelines) and the judgment to know when to invest in foundations versus ship for speed.
- Proven track record of partnering with executive stakeholders across functions — translating ambiguous business problems into scoped technical work, and pushing back constructively when scope or data readiness is the real blocker.
- Working fluency with modern AI and ML approaches (predictive modeling, LLM-powered workflows, the GenAI tooling ecosystem) and the ability to mentor a team building production AI systems.
- Strong written and verbal communication skills, including the ability to lead distributed teams across multiple time zones and represent the team in senior cross-functional forums.
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 to Applicants for Jobs Located in NYC or Remote Jobs Associated With Office in NYC Only
We used Covey as part of our hiring and/or promotional process for jobs in NYC and certain features may qualify it as an AEDT in NYC. As part of the hiring and/or promotion process, we provided Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound from August 21, 2023, through December 21, 2023. We resumed using Covey Scout for Inbound again on June 29, 2024, and ceased using Covey Scout for Inbound on April 30, 2026.
The Covey tool has been reviewed by an independent auditor. Results of the audit may be viewed here: https://getcovey.com/nyc-local-law-144.
About the Team
The SevenRooms Data & Analytics team is the foundational data hub for the SevenRooms business — owning the pipelines, models, dashboards, and predictive systems that power decisions across GTM, Product, Finance, and Partnerships. We sit at the intersection of SevenRooms and the broader DoorDash data ecosystem, and we partner globally with teams across the US, UK, UAE, and Australia supporting all customer segments from SMB through Enterprise. We design and maintain the pipelines, models, and infrastructure that connect SevenRooms' systems with the broader DoorDash data ecosystem — and we're investing aggressively in making our datasets ready for both human and AI consumption.
About the Role
We're hiring a Manager of Data & Analytics to lead the SevenRooms D&A team — a team of six (and growing to eight) analysts and engineers responsible for the data products, AI systems, and reporting infrastructure that the rest of the business runs on. You will be both a people leader and a senior technical voice in the room: coaching analysts and engineers on their craft, owning the data roadmap end-to-end, partnering with executive stakeholders across geographies and segments, and rolling up your sleeves on the highest-complexity work. In your first 90 days, you will absorb the team's in-flight roadmap, build trust with stakeholders across S&O, GTM, Product, Finance, and Partnerships, and partner with leadership on the prioritization framework that governs what the team takes on next. Our 2026 roadmap spans the full data value chain: GenAI agents that audit Salesforce in real time, churn and ICP models that drive CSM and AE prioritization, the MRR/ARPV reporting layer that finance and leadership run the business on, and the Netsuite integration that will modernize how we report revenue.
You will report into the Senior Manager, Strategy & Operations in our In-Store organization.
You're excited about this opportunity because you will…
- Lead, coach, and grow a team of senior analysts and BI engineers — running performance, career development, and hiring end-to-end.
- Own the D&A roadmap across GTM, Product, Finance, and Partnerships, balancing the team's investment between predictive AI/ML systems, traditional reporting, and cross-functional analytics.
- Act as the senior data voice in executive conversations — translating business problems into technical scope, pushing back when a request is the wrong shape, and influencing how leaders across segments make decisions.
- Translate narrow, well-defined GTM problems into shipped solutions — designing prompts, integrating with Salesforce and our GTM stack via APIs, and instrumenting the leading indicators that prove ROI.
- Partner closely with GTM Engineering, GTM Systems, and Revenue Insights to define a clean "Build vs. Run" operating model and unlock the next generation of AI-powered GTM products.
- Contribute to the team-wide AI developer infrastructure (skills libraries, MCP integrations, prompt frameworks) that makes every D&A engineer and analyst faster at deploying AI.
- Help establish the technical patterns and reusable components that will power our next generation of GTM AI products as the function scales.
We're excited about you because…
- 6+ years of experience in data analytics, BI engineering, or analytics engineering in a B2B SaaS environment, with demonstrated technical depth in SQL, DBT, and a modern cloud data warehouse (Snowflake or BigQuery).
- 2+ years of people management experience leading a team of analysts, engineers, or a hybrid of both — including hiring, performance management, and career development.
- Hands-on experience owning enterprise data infrastructure (Looker or equivalent BI tooling, DBT modeling at scale, Salesforce-to-warehouse pipelines) and the judgment to know when to invest in foundations versus ship for speed.
- Proven track record of partnering with executive stakeholders across functions — translating ambiguous business problems into scoped technical work, and pushing back constructively when scope or data readiness is the real blocker.
- Working fluency with modern AI and ML approaches (predictive modeling, LLM-powered workflows, the GenAI tooling ecosystem) and the ability to mentor a team building production AI systems.
- Strong written and verbal communication skills, including the ability to lead distributed teams across multiple time zones and represent the team in senior cross-functional forums.
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 to Applicants for Jobs Located in NYC or Remote Jobs Associated With Office in NYC Only
We used Covey as part of our hiring and/or promotional process for jobs in NYC and certain features may qualify it as an AEDT in NYC. As part of the hiring and/or promotion process, we provided Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound from August 21, 2023, through December 21, 2023. We resumed using Covey Scout for Inbound again on June 29, 2024, and ceased using Covey Scout for Inbound on April 30, 2026.
The Covey tool has been reviewed by an independent auditor. Results of the audit may be viewed here: https://getcovey.com/nyc-local-law-144.
See all Data Contributor Jobs at DoorDash
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Get Access To All JobsTips for Finding Data Contributor Jobs at DoorDash
Align your portfolio to DoorDash's data stack
DoorDash runs on real-time data pipelines at massive scale. Showcase projects involving SQL, Python, ETL workflows, or behavioral event tracking. Recruiters for Data Contributor roles respond to candidates who demonstrate experience with high-throughput, production-grade data environments, not just academic or small-scale work.
Target roles explicitly tied to core marketplace functions
DoorDash's Data Contributor openings cluster around merchant analytics, dasher operations, and consumer growth. Applying to roles aligned with these verticals increases your chances of reaching a hiring team that has an active headcount and a sponsorship precedent already established for the function.
Clarify your visa category before the offer stage
DoorDash sponsors multiple visa types, including H-1B, E-3, TN, and F-1 OPT. Before your final interviews, know which category applies to you and whether you need cap-subject H-1B filing in April or can transfer an existing status. Entering offer negotiations without this clarity can stall the process significantly.
Understand how F-1 OPT timing affects your start date
If you're on F-1 OPT, USCIS recommends submitting your EAD application at least 90 days before your program end date. Coordinate your anticipated DoorDash start date against your OPT authorization window so your employment authorization is active before your first day.
Use Migrate Mate to filter Data Contributor openings by visa type
Identifying which open roles at DoorDash align with your visa category saves weeks of guesswork. Migrate Mate lets you filter DoorDash's Data Contributor listings by the specific visa types they support, so you can prioritize applications where your sponsorship pathway is already confirmed.
Prepare for PERM labor certification if targeting a Green Card
If DoorDash initiates a Green Card through the EB-2 or EB-3 pathway, the DOL's PERM process requires documenting that no qualified U.S. worker was available for your specific role. Keep records of your job description, required qualifications, and any recruitment-related communications from the time of your hiring.
Frequently Asked Questions
Does DoorDash sponsor H-1B visas for Data Contributors?
Yes, DoorDash sponsors H-1B visas for Data Contributor roles. Because the H-1B is subject to an annual cap and lottery, timing matters, and your employer must file a registration in March for an October 1 start date. DoorDash has an established process for this, so raise your visa situation early in the interview process to align on the timeline.
How do I apply for Data Contributor jobs at DoorDash?
You can browse and apply for Data Contributor roles at DoorDash directly through Migrate Mate, which filters open positions by visa sponsorship type so you can confirm eligibility before applying. When applying, tailor your resume to reflect data infrastructure, pipeline work, and any tools common to marketplace or logistics analytics environments.
Which visa types does DoorDash commonly use for Data Contributor roles?
DoorDash sponsors a broad range of visa categories for Data Contributor positions, including H-1B, H-1B1 visa for Chilean and Singaporean nationals, E-3 visa for Australian citizens, TN visa for Canadian and Mexican nationals, F-1 OPT and CPT for recent graduates, J-1 visa, and employment-based Green Cards through the EB-2 and EB-3 pathways. The right category depends on your nationality and current immigration status.
What qualifications does DoorDash look for in Data Contributor candidates?
DoorDash typically looks for proficiency in SQL and at least one scripting language such as Python, experience building or maintaining data pipelines, and familiarity with large-scale analytics environments. A background in computer science, statistics, or a related quantitative field is common. Roles closer to the data engineering side may require experience with distributed systems or cloud-based data warehouses.
How do I time my application if my OPT or visa status is expiring soon?
If you're in a 60-day grace period or nearing the end of your OPT, be upfront with DoorDash's recruiting team from the first conversation. For H-1B transfers or cap-exempt filings, USCIS can process petitions with a relatively short lead time, though premium processing is available if speed is critical. For cap-subject H-1B cases, an April lottery registration is required, which may mean timing your offer for a cohort cycle.