Data Engineer

DoorDash, Inc.; São Paulo; On-site; BRL 120,000 - 240,000; Full time

Job summary

DoorDash, Inc. is hiring a Data Engineer in São Paulo to scale data infrastructure, automation, and tools for a growing on-demand logistics platform.

You will design large-scale pipelines for a Data Lake and Data Warehouse, implement data quality checks, and collaborate with business partners, engineers, and 3rd parties to ensure high-quality data products. Ideal candidates have 2+ years in data engineering or BI, strong Python/Java skills, and hands-on experience with ETL orchestration tools

Qualifications

• 2+ years of professional experience in data engineering, BI, or related roles.
• 2+ years experience building data engineering pipelines and data models.
• Proficiency in programming languages such as Python/Java.
• 2+ years experience with ETL orchestration and workflow tools (Airflow, Flink, Oozie, Azkaban) using AWS/GCP.
• Expert in database fundamentals, SQL and distributed computing.
• 2+ years experience with distributed data ecosystems (Spark, Hive, Druid, Presto) and streaming tech (Kafka/Flink).
• Experience with Snowflake, Redshift, PostgreSQL or similar DBMS.
• Excellent communication skills with both technical and non-technical teams.
• Knowledge of Tableau, Superset and Looker for reporting.
• Comfortable in a fast-paced environment, self-starter and self-organizing.
• Ability to think strategically and interpret market and consumer information.

Responsibilities

• Understand data requirements with business partners and stakeholders.
• Collaborate with engineering, product teams and 3rd parties to collect required data.
• Design and implement large-scale data models and pipelines for Data Lake/Warehouse.
• Develop data quality checks, QA, and monitor ETL reliability.
• Manage a portfolio of data products delivering high-quality, trustworthy data.
• Onboard and support other engineers joining the team.

Skills

Python/Java

ETL orchestration

SQL

Data modeling

Data pipelines

Data quality checks

Data warehousing

communication skills

self-starter

Tools

Airflow

Flink

Oozie

Azkaban

AWS

GCP

Snowflake

Redshift

PostgreSQL

Spark

Hive

Druid

Presto

Kafka

Looker

Tableau

Superset

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.

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 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.