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DoorDash Brazil

Analytics Engineer - Brazil

DoorDash Brazil · São Paulo, Brazil

Posted about 2 months ago

or apply directly on DoorDash Brazil's site. We never take the application ourselves.

Is this posting real?

This role has been open
63 days
DoorDash Brazil's roles stay open a median of 63 days
Reposted
No
Salary listed
No
0% of DoorDash Brazil's roles list one
Ghost-job risk at DoorDash Brazil
high
16 stale, 0 reposted of 16 open
Hiring momentum
24 roles opened in the last 90 days
↑ up vs. the prior 90 days
Last confirmed on the employer's board
2026-10-05

Measured from postings appearing on and disappearing from DoorDash Brazil's own greenhouse board since 2026-08-03. Full hiring picture for DoorDash Brazil.

About this role

As an Analytics Engineer at DoorDash in São Paulo, you will design, develop, and maintain data models and reporting structures to support analytical needs across the organization. Your role involves collaborating with data engineers and business stakeholders, implementing ETL/ELT processes, and ensuring data quality and reliability. You will also build dashboards and reporting products to facilitate data access and analysis for various teams.

Our read on this posting2.0out of 5
benefits
1/5
freshness
1/5
career value
4/5
role clarity
4/5
pay transparency
0/5

Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of DoorDash Brazil as an employer.

What you need

  • 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

Nice to have

  • 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

Worth weighing

  • Interviews will be conducted in English
  • The role requires collaboration with both technical and non-technical teams, which may require strong interpersonal skills
  • The position is based in a fast-paced environment, which may not suit everyone

Summarised from DoorDash Brazil's posting. Read the full original.

Listed by DoorDash Brazil on their greenhouse job board, last confirmed open on 2026-10-05. PitchMeAI is not the employer.

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