DoorDash is looking for a Data Engineering Manager to guide the development of enterprise-scale data solutions.
You’re excited about this opportunity because you will…
Hire, grow and coach a team of data engineers
Set technical and strategic vision for embedded pods and foundational enablers
Guide development of enterprise-scale data solutions
Improve data architecture and development processes continuously
Plan short-term quick wins and long-term engineering strategy
From the employer’s posting
DoorDash is looking for a Data Engineering Manager to guide the development of enterprise-scale data solutions. This manager will also act as a technical expert on all things related to data architecture to empower the greater community of data engineers, data scientists, and DoorDash partners. Your focus extends to fostering an engineering culture of excellence, empowering engineers to deliver reliable, flexible solutions at scale. Additionally, you'll play a pivotal role in building and nurturing a top-performing team, driving innovation and success in a dynamic, fast-paced environment.
You’re excited about this opportunity because you will…
building and nurturing a top-performing team
You drive the technical and strategic vision for the embedded pods and foundational enablers
guide the development of enterprise-scale data solutions
You strive for continuous improvement of data architecture and development process
You think of quick wins while planning for long term strategy and engineering excellence
10+ years in data engineering, data platform or related field
2+ years of hands-on management experience
Degree in Computer Science or equivalent (B.S., M.S. or PhD.)
Experience with performance management, coaching and growing teams
Proficiency in Python/Kotlin and SQL
Qualification wording
10+ years of experience working in data engineering, data platform or a related domain
2+ years of hands-on management experience
B.S., M.S., or PhD. in Computer Science or equivalent
Experienced with performance management, coaching, mentoring and growing teams
Familiar with programming languages Python/Kotlin and SQL
Education & alternatives
We’re excited about you because you have…
- B.S., M.S., or PhD. in Computer Science or equivalent
- 10+ years of experience working in data engineering, data platform or a related domain
About DoorDash Brazil
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.
Open 4 monthsWe first saw this posting 127 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
Status in our records
Live
First seen by us
Jul 2, 2026127 days ago
Recorded sightings
58
Last seen by us
Nov 6, 2026
Jul 2, 2026today
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Time since we first saw it
Day 127
754
Up longer than most. Similar jobs usually come down between day 7 and day 54.
At DoorDash Brazil, jobs usually come down by about day 131.
From 8,136 similar postings that came down, and 7 of DoorDash Brazil’s. Coming down is not always a hire.
DoorDash Brazil is hiring
9 open jobs
Open jobs by the week we first saw them, last 12 weeks.
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.
Kotlin
Python
SQL
AWS
Databricks
Delta Lake
Iceberg
Kafka
PostgreSQL
S3
Snowflake
Spark
Trino
Airflow
Where the posting names them
- Experienced with performance management, coaching, mentoring and growing teams
- Familiar with programming languages Python/Kotlin and SQL
- Prior experience with Snowflake/Databricks/Spark/Trino/Pinot
- Prior experience with Snowflake/Databricks/Spark/Trino/Pinot
- Prior experience with AWS ecosystem and large scale batch/real time ETL orchestration using Airflow, Kafka, Spark Streaming,etc.
- Familiarity with various data lake file formats such as Delta Lake, Apache Iceberg, Glue Catalog, S3,etc
- Familiar with programming languages Python/Kotlin and SQL
- Prior experience with Snowflake/Databricks/Spark/Trino/Pinot
- Prior experience with AWS ecosystem and large scale batch/real time ETL orchestration using Airflow, Kafka, Spark Streaming,etc.
- Prior experience with AWS ecosystem and large scale batch/real time ETL orchestration using Airflow, Kafka, Spark Streaming,etc.
- Familiarity with various data lake file formats such as Delta Lake, Apache Iceberg, Glue Catalog, S3,etc
- Experience with these specific technologies is not required but helpful
- Building systems directly powering online applications
- Exposure to various databases such as CockroachDB, Cassandra, and PostgreSQL
- Proficient in system design and with a strong understanding and application of AI solutions in data space
Complete your application on job-boards.greenhouse.io. The employer’s form will show what is required.
Applying through Greenhouse
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.
New Data Leadership postings at the employers we follow are up 7% over the last 5 weeks compared with the 5 before.
August 17Last week
Each bar is one week of new postings. The darkest bars are the last 5 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
About the role
We file this job under Data Leadership, by the work the posting describes.
Data leaders run data teams or design how a company's data fits together. Managers hire, set priorities and answer for whether the data work pays off; architects choose the systems and the shape of the data.
Expect years of hands-on data work, experience leading people or projects, and the ability to explain tradeoffs to executives.
Unlike a senior engineer or analyst, most of a data leader's week goes to people, planning and decisions rather than building.
US government figures for computer and information systems managers
Median yearly pay, May 2025
$175,140
Expected change, 2025 to 2035
15.8% more jobsagainst 3.5% for all jobs
The government has no code for data leaders, so these figures are for the closest group, computer and information systems managers, which includes data processing and data operations managers.
This position is dedicated to professionals with disabilities (PCD), in accordance with Brazilian Law No. 8.213/91 (Lei de Cotas).
At DoorDash, we believe diverse teams build better products. We are committed to providing an accessible, inclusive workplace with equal opportunities for all.
Reasonable accommodations are available throughout the hiring process and in the work environment. If you require any accommodation, please inform your recruiter at the beginning of the process.
Medical documentation may be requested in accordance with applicable legislation.
DoorDash is a data driven organization and relies on timely, accurate and reliable data to drive many business and product decisions. 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 data structures and data warehouse architecture, this team serves as the foundation for decision-making at DoorDash. The focus extends to enhancing the developer experience by creating tools that support the organization's high-velocity demands.
To lead the growing team of Data engineers we are looking for managers who are passionate about Data and are thought leaders in coaching, guiding and leading teams to make Data a winning edge for DoorDash.
About the Role
DoorDash is looking for a Data Engineering Manager to guide the development of enterprise-scale data solutions. This manager will also act as a technical expert on all things related to data architecture to empower the greater community of data engineers, data scientists, and DoorDash partners. Your focus extends to fostering an engineering culture of excellence, empowering engineers to deliver reliable, flexible solutions at scale. Additionally, you'll play a pivotal role in building and nurturing a top-performing team, driving innovation and success in a dynamic, fast-paced environment.
You’re excited about this opportunity because you will…
You are a people leader. You thrive in hiring, building, growing and nurturing impactful business focused data teams
You are a technology leader. You drive the technical and strategic vision for the embedded pods and foundational enablers to meet current and future needs for scale and interoperability
You strive for continuous improvement of data architecture and development process
You think of quick wins while planning for long term strategy and engineering excellence. You are excited about breaking down large systems into easy to use data assets and reusable components
You are excited about cross collaboration with stakeholders, external partners and peer data leaders
You are a planner and executioner. You know the tools to plan for short term and long term team and stakeholder success
You think of reliability and quality as must have
We’re excited about you because you have…
B.S., M.S., or PhD. in Computer Science or equivalent
10+ years of experience working in data engineering, data platform or a related domain
2+ years of hands-on management experience
Exceptional communication and leadership skills, experience hiring and growing teams with a proven ability to operate in a fast moving environment
Experienced with performance management, coaching, mentoring and growing teams
Familiar with programming languages Python/Kotlin and SQL
Prior experience with Snowflake/Databricks/Spark/Trino/Pinot
Prior experience with AWS ecosystem and large scale batch/real time ETL orchestration using Airflow, Kafka, Spark Streaming,etc.
Familiarity with various data lake file formats such as Delta Lake, Apache Iceberg, Glue Catalog, S3,etc
Experience with these specific technologies is not required but helpful
Building systems directly powering online applications
Exposure to various databases such as CockroachDB, Cassandra, and PostgreSQL
Proficient in system design and with a strong understanding and application of AI solutions in data space
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.
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.
This position is open to candidates with disabilities. DoorDash welcomes applicants registered with the national autism registry (SisTEA) and others who seek an inclusive workplace.
If you need any accommodations, please inform your recruiting contact upon initial connection.