Data Engineer – Brazil – Vaga para mulheres

DoorDash; São Paulo; Presencial; BRL 120 000 - 150 000; Tempo integral

Resumo da oferta

A technology-driven logistics company based in São Paulo is seeking a Data Engineer to enhance their data infrastructure. The ideal candidate will possess over 2 years of experience in data engineering and skills in programming languages like Python or Java. Responsibilities include designing data models, improving ETL processes, and collaborating with cross-functional teams. The role welcomes diverse candidates and promotes inclusive workplace practices.

Qualificações

• 2+ years of professional experience in data engineering.
• Proficiency in programming languages such as Python or Java.
• Experience in ETL orchestration tools like Airflow or Flink.

Responsabilidades

• Work with stakeholders to understand data requirements.
• Design and implement data models and pipelines.
• Develop data quality checks and monitoring routines.

Conhecimentos

Data Engineering

Python/Java

ETL orchestration

SQL

Distributed data ecosystem

Kafka/Flink

Communication skills

Ferramentas

Airflow

AWS/GCP

Snowflake

Redshift

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.

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.

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 to 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 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 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

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.

To request a reasonable accommodation under applicable law or alternate selection process, please inform your recruiting contact upon initial connection.