Time since we first saw it
Day 147
Up longer than most. Similar jobs usually come down between day 7 and day 53.
From 7,803 similar postings that came down. Coming down is not always a hire.
Engineering Manager, Data
Sao Paulo, Brazil
Open 4 months, first seen by us 147 days ago- Pay
- Pay not listed
- Work setting
- Not stated
- Employment
- Not stated
What you’ll work on
Full postingDoorDash 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 the technical and strategic vision for data platform pods and enablers
Guide development of enterprise-scale data solutions
Improve data architecture and development processes continuously
Plan short-term and long-term team and stakeholder delivery
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…
To lead the growing team of Data engineers we are looking for managers who are passionate about Data
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 know the tools to plan for short term and long term team and stakeholder success
What you’ll bring
All qualificationsCore experience
- 10+ years in data engineering, data platform or related field
- 2+ years of hands-on management experience
- B.S., M.S., or PhD. in Computer Science or equivalent
- Python/Kotlin and SQL skills
- Exceptional communication and leadership skills
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
Familiar with programming languages Python/Kotlin and SQL
Exceptional communication and leadership skills
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.
In the employer’s words · Read in context
Posting record
Report an errorOpen 4 monthsWe first saw this posting 147 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
- Jun 10, 2026147 days ago
- Recorded sightings
- 60
- 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
DoorDash Brazil is hiring
9 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- Hiring is picking up
- Its jobs tend to stay up a long time
- 11% of open jobs were reposted
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.
- 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
Your next step
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.
Already applied? Track this application
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.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 11-3021.
Job description
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 RoleDoorDash 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
- 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
Notice to Applicants for Jobs Located in NYC or Remote Jobs Associated With Office in NYC Only
We use 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 provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound from August 21, 2023, through December 21, 2023, and resumed using Covey Scout for Inbound again on June 29, 2024.
The Covey tool has been reviewed by an independent auditor. Results of the audit may be viewed here: Covey
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 InclusionWe’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.
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- Pay
No pay amount identified in the saved description.
- Location & working pattern
Sao Paulo, Brazil
- Proficient in system design and with a strong understanding and application of AI solutions in data space Notice to Applicants for Jobs Located in NYC or Remote Jobs Associated With Office in NYC Only We use 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 provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound from August 21, 2023, through December 21, 2023, and resumed using Covey Scout for Inbound again on June 29, 2024.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.