Time since we first saw it
Day 19
Similar jobs usually come down between day 6 and day 47.
From 1,409 similar postings that came down. Coming down is not always a hire.
Analytics Engineer
São Paulo, Brazil
Live, first seen by us 19 days ago- Pay
- Pay not listed
- Work setting
- Not stated
- Employment
- Not stated
What you’ll work on
Full postingDoorDash is looking for an Analytics Engineer to build and scale data models, pipelines, and self-service analytics across the organization.
You’re excited about this opportunity because you will…
Design, develop and maintain data models for analytical and product data
Implement and optimize ETL/ELT processes for data quality and performance
Own and define business KPIs, measurement plans and reporting
Build Tableau or Sigma dashboards over large data sets
Handle ad-hoc reporting requests and automate them where possible
From the employer’s posting
DoorDash is looking for an Analytics Engineer to build and scale data models, pipelines, and self-service analytics across the organization. In this role, you’ll focus on developing a reliable aggregation layer and reporting structure that meets our growing business needs, enabling teams to access and analyze data independently.
You’re excited about this opportunity because you will…
Design, develop, and maintain robust data models to support analytical and product data needs across the organization
Implement and optimize ETL/ELT processes to ensure data quality, reliability, and performance
Own and define business KPIs, their measurement plans, data requirements and reporting
Build visually appealing, high-performing, and impactful reporting/dashboard products using tools like Tableau/Sigma across large data sets
Address ad-hoc reporting requirements and find pathways for automation
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
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.
- Analytics 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.
- Python
- Scala
- SQL
- Databricks
- Looker
- Redshift
- Sigma
- Snowflake
- Tableau
Where the posting names them
- Strong SQL skills and experience with data modeling techniques (e.g., dimensional modeling, 3 Nf, data vault) - Proficiency in a programming language such as Python or Scala - Experience building reporting and dashboarding solutions using data lake/Snowflake or similar ecosystem
- 3+ years experience working in business intelligence, data analytics, Data engineering or a similar role - Strong SQL skills and experience with data modeling techniques (e.g., dimensional modeling, 3 Nf, data vault) - Proficiency in a programming language such as Python or Scala
- Experience building reporting and dashboarding solutions using data lake/Snowflake or similar ecosystem - Expert in Database fundamentals, SQL and performance tuning - Excellent communication skills and experience working with technical and non-technical teams
- Experience with real-time data processing and streaming technologies - Experience with modern data warehousing platforms (e.g., Snowflake, DataBricks, Redshift) and knowledge of data visualization tools (e.g., Looker, Tableau). - Familiarity with machine learning concepts and their data requirements
- Build and enforce common design patterns to increase report reusability, readability and standardization - Build visually appealing, high-performing, and impactful reporting/dashboard products using tools like Tableau/Sigma across large data sets **Interviews will be conducted in English**
- Proficiency in a programming language such as Python or Scala - Experience building reporting and dashboarding solutions using data lake/Snowflake or similar ecosystem - Expert in Database fundamentals, SQL and performance tuning
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 Analytics Engineer, by the work the posting describes.
Analytics engineers turn raw warehouse data into clean, tested and documented tables that analysts and dashboards can rely on, often with dbt.
Expect strong SQL, data modeling, Git, and a warehouse such as Snowflake, BigQuery or Redshift.
A data engineer gets data into the warehouse; an analytics engineer shapes it once it is there and works closer to the analysts who use it.
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 analytics engineers, so these figures are for the closest group, database architects, the same group we use for data engineers.
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 success. The Data Engineering team builds database solutions for various use cases including reporting, product analytics, marketing optimization and financial reporting. By implementing dashboards, data structures, and data warehouse architecture; this team serves as the foundation for decision-making at DoorDash.
About the Role
DoorDash is looking for an Analytics Engineer to build and scale data models, pipelines, and self-service analytics across the organization. In this role, you’ll focus on developing a reliable aggregation layer and reporting structure that meets our growing business needs, enabling teams to access and analyze data independently.
You’re excited about this opportunity because you will…
- Design, develop, and maintain robust data models to support analytical and product data needs across the organization
- Collaborate with data engineers, data scientists, and business stakeholders to understand data requirements and translate them into scalable data solutions
- Implement and optimize ETL/ELT processes to ensure data quality, reliability, and performance
- Own and define business KPIs, their measurement plans, data requirements and reporting
- Build processes to ensure correct, timely and reliable reporting
- Address ad-hoc reporting requirements and find pathways for automation
- Build and enforce common design patterns to increase report reusability, readability and standardization
- Build visually appealing, high-performing, and impactful reporting/dashboard products using tools like Tableau/Sigma across large data sets
**Interviews will be conducted in English**
We’re excited about you because…
- 3+ years experience working in business intelligence, data analytics, Data engineering or a similar role
- Strong SQL skills and experience with data modeling techniques (e.g., dimensional modeling, 3 Nf, data vault)
- Proficiency in a programming language such as Python or Scala
- Experience building reporting and dashboarding solutions using data lake/Snowflake or similar ecosystem
- Expert in Database fundamentals, SQL and performance tuning
- Excellent communication skills and experience working with technical and non-technical teams
- Comfortable working in fast paced environment, self starter and self organizing
- Ability to think strategically, analyze and interpret market and consumer information
Nice to Haves:
- Experience with real-time data processing and streaming technologies
- Experience with modern data warehousing platforms (e.g., Snowflake, DataBricks, Redshift) and knowledge of data visualization tools (e.g., Looker, Tableau).
- Familiarity with machine learning concepts and their data requirements
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
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- Location & working pattern
São Paulo, Brazil
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- Work authorization
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