Time since we first saw it
Day 19
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.
Data Engineer
São Paulo, Brazil
Live, first seen by us 19 days ago- Pay
- Pay not listed
- Work setting
- Not stated
- Employment
- Not stated
Before you apply
- 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 postingWe're looking for a 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 Data Lake and Data Warehouse
Add data quality checks, QA and monitoring routines
Improve reliability and scalability of ETL processes
Manage a portfolio of data products that deliver trustworthy data
Work with business partners to understand data requirements
From the employer’s posting
We're looking for a 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, 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 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 error- Status in our records
- Live
- First seen by us
- Oct 16, 202619 days ago
- Recorded sightings
- 19
- Last seen by us
- Nov 4, 2026
- Reposted
- once since Jun 4, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications. We count a repost when the same title and location comes back as a new listing within 60 days of the last one coming down. Some hiring systems expire listings on a schedule, so repost rates vary by system.
How this job compares
DoorDash Brazil is hiring
9 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- Data Engineer 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.
- Java
- Python
- SQL
- AWS
- GCP
- Hive
- Kafka
- Looker
- PostgreSQL
- Redshift
- Snowflake
- Spark
- Superset
- Tableau
- Airflow
Where the posting names them
- 2+ years of professional experience - 2+ years experience working in data engineering, business intelligence, or a similar role Proficiency in programming languages such as Python/Java - 2+ years of experience in ETL orchestration and workflow management tools like Airflow, Flink, Oozie and Azkaban using AWS/GCP
- 2+ 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 - 2+ years of experience with the Distributed data/similar ecosystem (Spark, Hive, Druid, Presto) and streaming technologies such as Kafka/Flink.
- 2+ years experience working in data engineering, business intelligence, or a similar role Proficiency in programming languages such as Python/Java - 2+ 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 - 2+ 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
- 2+ 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
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
Has DoorDash Brazil posted this job before?
Yes. We’ve followed one other Data Engineer job there since June 2026. It came down after 131 days.
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
Engineering the future of logistics – from Brazil to the world
About the Team
DoorDash is building the world’s most reliable on-demand logistics platform. Brazil is a strategic and growing engineering hub for DoorDash. Based in São Paulo, our teams build and scale systems that power millions of users globally. This is an opportunity to shape world-class logistics technology while growing your career in Brazil.This is a unique opportunity to join one of Silicon Valley’s fastest-growing companies, while staying close to home.
Data is at the foundation of DoorDash's 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
We're looking for a 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…
- 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
**Interviews will be conducted in English**
We’re excited about you because…
- 2+ years of professional experience
- 2+ years experience working in data engineering, business intelligence, or a similar role Proficiency in programming languages such as Python/Java
- 2+ 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
- 2+ 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
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.
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
São Paulo, Brazil
- Ability to think strategically, analyze and interpret market and consumer information - You must be located near one of our engineering hubs indicated above About DoorDash
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.