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Senior Software Engineer, Data Engineering

San Francisco, CA; Sunnyvale, CA; Seattle, WA

Live, first seen by us 21 days ago
Pay
USD 143,800–211,500/yearAnnual period assumed — pay source
The national base pay range for this position within the United States, including Illinois and Colorado. $143,800—$211,500 USD About DoorDash
Read the full posting
Work setting
Hybrid — work setting source
About the Role DoorDash is looking for a Senior Data Engineer to be a technical powerhouse to help us scale our data infrastructure, automation and tools to meet growing business needs. This is a hybrid position and you must be located in Sunnyvale, San Francisco, or Seattle. You're excited about this opportunity because you will...
Read the full posting
Employment
Not stated

Before you apply

Eligibility
This is a hybrid position and you must be located in Sunnyvale, San Francisco, or Seattle. — eligibility source
DoorDash is looking for a Senior Data Engineer to be a technical powerhouse to help us scale our data infrastructure, automation and tools to meet growing business needs. This is a hybrid position and you must be located in Sunnyvale, San Francisco, or Seattle.
Read the full posting
Eligibility
You must be located near one of our engineering hubs indicated above — eligibility source
You must be located near one of our engineering hubs indicated above
Read the full posting

What you’ll work on

Full posting

DoorDash is looking for a Senior Data Engineer to be a technical powerhouse to help us scale our data infrastructure, automation and tools to meet growing business needs.

You're excited about this opportunity because you will...

  • Design and build large-scale data models and pipelines for the data lake and warehouse

  • Develop data quality checks, run QA, and set up monitoring routines

  • Improve reliability and scalability of ETL processes

  • Manage a portfolio of data products that deliver trustworthy data

  • Gather data requirements from business partners and collect data with engineering and 3rd parties

From the employer’s posting
DoorDash is looking for a Senior Data Engineer to be a technical powerhouse to help us scale our data infrastructure, automation and tools to meet growing business needs. This is a hybrid position and you must be located in Sunnyvale, San Francisco, or Seattle.
You're excited about this opportunity because you will...
Design, develop and implement large scale, high volume, high performance data models and pipelines for Data Lake and Data Warehouse
Develop and implement data quality checks, conduct QA and implement monitoring routines
Improve the reliability and scalability of our ETL processes
Manage a portfolio of data products that deliver high-quality, trustworthy data
Work with business partners and stakeholders to understand data requirements

About DoorDash USA

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.

In the employer’s words · Read in context

Apply at DoorDash USA

Posting record

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Status in our records
Live
First seen by us
Oct 14, 202621 days ago
Recorded sightings
115
Last seen by us
Nov 4, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Pay

In line with similar jobs

$144K–$212K against $127K–$190K, the middle half of what similar US postings state.

From 2,133 postings in the last year. Stated ranges, not salaries paid.

Time since we first saw it

Day 21

Similar jobs usually come down between day 6 and day 54.

From 10,764 similar postings that came down. Coming down is not always a hire.

DoorDash USA is hiring

25 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • Hiring is picking up
  • Takes jobs down at a usual pace
  • 4% of open jobs were reposted
Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

  • Java
  • Python
  • SQL
  • AWS
  • GCP
  • Hive
  • Kafka
  • Looker
  • PostgreSQL
  • Redshift
  • Snowflake
  • Spark
  • Superset
  • Tableau
  • Airflow
Where the posting names them
- 3+ years experience working in data engineering, business intelligence, or a similar role - Proficiency in programming languages such as Python/Java - 3+ years of experience in ETL orchestration and workflow management tools like Airflow, Flink, Oozie and Azkaban using AWS/GCP
- 3+ years of experience in ETL orchestration and workflow management tools like Airflow, Flink, Oozie and Azkaban using AWS/GCP - Expert in Database fundamentals, SQL and distributed computing - 3+ years of experience with the Distributed data/similar ecosystem (Spark, Hive, Druid, Presto) and streaming technologies such as Kafka/Flink.
- Proficiency in programming languages such as Python/Java - 3+ years of experience in ETL orchestration and workflow management tools like Airflow, Flink, Oozie and Azkaban using AWS/GCP - Expert in Database fundamentals, SQL and distributed computing
- Expert in Database fundamentals, SQL and distributed computing - 3+ years of experience with the Distributed data/similar ecosystem (Spark, Hive, Druid, Presto) and streaming technologies such as Kafka/Flink. - Experience working with Snowflake, Redshift, PostgreSQL and/or other DBMS platforms
- Excellent communication skills and experience working with technical and non-technical teams - Knowledge of reporting tools such as Tableau, Superset and Looker - Comfortable working in fast paced environment, self starter and self organizing
- 3+ years of experience with the Distributed data/similar ecosystem (Spark, Hive, Druid, Presto) and streaming technologies such as Kafka/Flink. - Experience working with Snowflake, Redshift, PostgreSQL and/or other DBMS platforms - Excellent communication skills and experience working with technical and non-technical teams

Your next step

Complete your application on job-boards.greenhouse.io. The employer’s form will show what is required.

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  • No account needed: the form is one page, with an “Autofill my application” option that reads your resume.
  • Greenhouse doesn’t read resumes over 2.5 MB, or details placed in a header, footer, text box, table or second column. The file still attaches, but a recruiter has to type you in by hand.

Already applied? Track this application

About the role

We file this job under Data Engineer, by the work the posting describes.

Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.

Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.

An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.

US government figures for database architects

Median yearly pay, May 2025
$139,500
Expected change, 2025 to 2035
9.4% more jobsagainst 3.5% for all jobs

The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.

Job description

View original posting ↗

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. By implementing pipelines, data structures, and data warehouse architectures; this team serves as the foundation for decision-making at DoorDash.

About the Role

DoorDash is looking for a Senior Data Engineer to be a technical powerhouse to help us scale our data infrastructure, automation and tools to meet growing business needs. This is a hybrid position and you must be located in Sunnyvale, San Francisco, or Seattle.

You're excited about this opportunity because you will...

  • Work with business partners and stakeholders to understand data requirements
  • Work with engineering, product teams and 3rd parties to collect required data
  • Design, develop and implement large scale, high volume, high performance data models and pipelines for Data Lake and Data Warehouse
  • Develop and implement data quality checks, conduct QA and implement monitoring routines
  • Improve the reliability and scalability of our ETL processes
  • 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...

  • 5+ years of professional experience
  • 3+ years experience working in data engineering, business intelligence, or a similar role
  • Proficiency in programming languages such as Python/Java
  • 3+ years of experience in ETL orchestration and workflow management tools like Airflow, Flink, Oozie and Azkaban using AWS/GCP
  • Expert in Database fundamentals, SQL and distributed computing
  • 3+ years of experience with the Distributed data/similar ecosystem (Spark, Hive, Druid, Presto) and streaming technologies such as Kafka/Flink.
  • Experience working with Snowflake, Redshift, PostgreSQL and/or other DBMS platforms
  • Excellent communication skills and experience working with technical and non-technical teams
  • Knowledge of reporting tools such as Tableau, Superset and Looker
  • 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

Applications for this position are accepted on an ongoing basis

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.
$143,800—$211,500 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.

Source details

View original posting ↗

Source notes

Source excerpts

Selected passages from the saved posting. Check the full description for conditions and exceptions.

Pay
The national base pay range for this position within the United States, including Illinois and Colorado. $143,800—$211,500 USD About DoorDash
Location & working pattern

San Francisco, CA; Sunnyvale, CA; Seattle, WA

About the Role DoorDash is looking for a Senior Data Engineer to be a technical powerhouse to help us scale our data infrastructure, automation and tools to meet growing business needs. This is a hybrid position and you must be located in Sunnyvale, San Francisco, or Seattle. You're excited about this opportunity because you will...
More source context
- Ability to think strategically, analyze and interpret market and consumer information - You must be located near one of our engineering hubs indicated above Applications for this position are accepted on an ongoing basis
Work authorization

No clear work-authorization passage found. Eligibility is unconfirmed.

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