Data Engineer – Brazil – Vaga para mulheres

DoorDash USA; São Paulo; Presencial; BRL 180 000 - 240 000; Tempo integral

Resumo da oferta

DoorDash Brazil is expanding its Data Engineering team in São Paulo to scale data infrastructure and support global operations. You will design and optimize large-scale data models and pipelines, enabling robust analytics and reporting across the organization.

Ideal candidates have 2+ years in data engineering or BI, strong SQL, experience with ETL tools, and familiarity with Snowflake/Redshift and streaming technologies. The role is based in São Paulo and interviews are conducted in English.

Qualificações

• 2+ years of professional experience in data engineering, BI, or similar role.
• Proficiency in Python and/or Java.
• Experience with ETL orchestration and workflow tools like Airflow, Flink, Oozie, or Azkaban (AWS/GCP).
• Strong SQL and database fundamentals, distributed computing knowledge.
• Experience with Spark/Hive/Druid/Presto and streaming tech like Kafka or Flink.
• Familiarity with Snowflake, Redshift, or PostgreSQL; ability to work with BI tools (Tableau/Superset/Looker).

Responsabilidades

• Collaborate with partners to understand data requirements and deliver data products.
• Design and build large-scale data pipelines for Data Lake and Data Warehouse.
• Implement data quality checks, QA, and monitoring for ETL processes.
• Onboard and assist other engineers joining the team.
• Manage a portfolio of data products delivering trustworthy data.

Conhecimentos

Python

Java

SQL

Data modeling

ETL

Ferramentas

Airflow

Flink

Oozie

Azkaban

Snowflake

Redshift

PostgreSQL

Kafka

Tableau

Descrição da oferta de emprego

Engineering the future of logistics – from Brazil to the world

This role is part of our commitment to increase the representation of women in technology at DoorDash Brazil. We strongly encourage candidates who identify as women to apply.

We are building an engineering team where women have equitable access to opportunity, leadership, and long-term career growth within our São Paulo hub.

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.

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.