Staff Software Engineer, Data Engineering

DoorDash, Inc.; San Francisco (CA); On-site; USD 174,000 - 257,000; Full time

Benefits offered by this job

401(k) plan with employer matching

16 weeks of paid parental leave

wellness benefits

commuter benefits match

paid time off

paid sick leave in compliance with law

medical benefits

dental benefits

vision benefits

11 paid holidays

disability and basic life insurance

family‑forming assistance

mental health program

Job summary

DoorDash is seeking a Staff Software Engineer, Data to be a technical lead and help architect and scale our data reliability, data infrastructure, automation and tools to meet growing business needs.

As a senior data engineer you will own critical data systems, design large-scale pipelines for Data Lake and Data Warehouse, and drive improvements across ingestion, ETL and reporting ecosystems while guiding other engineers and collaborating with product and analytics partners.

Qualifications

• 8+ years as hands-on engineer and technical leader.
• 6+ years in data platform or data engineering.
• Experience with AI coding tools in the full software development lifecycle.
• Proficiency in Python/Kotlin/Scala.
• 4+ years of ETL orchestration with Airflow or similar.
• Strong SQL and data reliability practices.
• Experience with Spark, Presto, and streaming technologies.

Responsibilities

• Own critical data systems that support multiple products/teams.
• Develop, implement and enforce best practices for data infrastructure and automation.
• Design, develop and implement large scale, high volume data models and pipelines for Data Lake and Data Warehouse.
• Improve the reliability and scalability of ingestion, data processing, ETLs, reporting tools and data ecosystem services.
• Manage a portfolio of data products that deliver high‑quality, trustworthy data.
• Help onboard and support other engineers as they join the team.

Skills

Data engineering leadership

Python

Kotlin

Scala

ETL orchestration

Airflow

SQL

Spark

Flink

Distributed data systems

Data modeling

Data reliability

Communication

Tools

Airflow

Spark

Kafka

Kubernetes

Job description

About The Team

Data is at the foundation of DoorDash success. The Data Engineering team builds database solutions for various use cases including reporting, product analytics, marketing optimization and financial reporting. Team serves as the foundation for decision‑making at DoorDash.

About The Role

DoorDash is looking for a Staff Software Engineer, Data to be a technical lead and help architect and scale our data reliability, data infrastructure, automation and tools to meet growing business needs.

Applications for this position are accepted on an ongoing basis.

You’re Excited About This Opportunity Because You Will

• Own critical data systems that support multiple products/teams
• Develop, implement and enforce best practices for data infrastructure and automation
• Design, develop and implement large scale, high volume, high performance data models and pipelines for Data Lake and Data Warehouse
• Improve the reliability and scalability of our Ingestion, data processing, ETLs, Reporting tools and data ecosystem services
• Manage a portfolio of data products that deliver high‑quality, trustworthy data
• Help onboard and support other engineers as they join the team

We’re Excited About You Because

• 8+ years of professional experience as a hands‑on engineer and technical leader leading multiple projects
• 6+ years experience working in data platform and data engineering or a similar role
• You have proficiency in using AI coding tools (e.g., Claude Code, Codex, Cursor) in the full software development lifecycle, including designing, generating code, testing, monitoring and releasing software
• Proficiency in programming languages such as Python/Kotlin/Scala
• 4+ years of experience in ETL orchestration and workflow management tools like Airflow
• Expert in database fundamentals, SQL, data reliability practices and distributed computing
• 4+ years of experience with the Distributed data/similar ecosystem (Spark, Presto) and streaming technologies such as Kaa/Flink/Spark Streaming
• Excellent communication skills and experience working with technical and non‑technical teams and knowledge of reporting tools
• Comfortable working in fast paced environment, self starter and self organizing
• Ability to think strategically, analyze and interpret market and consumer information
• You must be located near one of our engineering hubs indicated above

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.

Benefits

• 401(k) plan with employer matching
• 16 weeks of paid parental leave
• wellness benefits
• commuter benefits match
• paid time off
• paid sick leave in compliance with applicable laws (e.g. Colorado Healthy Families and Workplaces Act)
• medical benefits
• dental benefits
• vision benefits
• 11 paid holidays
• disability and basic life insurance
• family‑forming assistance
• mental health program

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

$174,400—$256,500 USD

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).

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.