Data Engineering Jobs in Brazil
There are 288 open Data Engineering jobs in Brazil on freehire right now. 75 of them were posted recently. The skills employers ask for most often are sql, python and cloud.
Most requested skills
- sql 72%
- python 71%
- cloud 55%
- analytics 48%
- ai 45%
- etl 43%
- data-engineering 41%
- databricks 40%
How the work is done
- Remote 156 · 54%
- Hybrid 29 · 10%
- Onsite 4 · 1%
Visa sponsorship offered in 31% of the 35 postings that state a position on it.
Seniority
- Senior 143
- Lead 12
- Staff 8
- Middle 7
- Junior 3
- Intern 1
Who is hiring
- 1000+ employees 45
- 501-1000 employees 37
- 51-200 employees 10
- 201-500 employees 3
- 11-50 employees 1
English level
- C1 56%
- B2 33%
- B1 11%
Share of the postings that state a required level (at least 20% of this market do).
Intermediate Data Engineer
Designs and maintains data pipelines for a B2B commerce platform, using Python, PySpark, SQL, and cloud services like Azure to process and integrate large datasets.
Senior Data Engineer
Designs and builds data pipelines to power a B2B e-commerce personalization engine for a global brewer’s tech division, using cloud data tools and SQL.
Senior Data Engineer
Build and maintain data pipelines for a B2B e-commerce platform, using Python, SQL, PySpark/Scala, and cloud services to process and transform retail data.
Data Engineer
Data Engineer building and maintaining data pipelines, datalake ingestion, and layered data models for a Brazilian fintech financial management platform. Core tech: SQL/BigQuery, Python (Airflow/Dataflow), and cloud providers (GCP/Azure/AWS).
Grupo QuintoAndar | Staff Data Engineer (Women Applicants Only)
Design and maintain scalable data pipelines and platforms to power analytics and AI-driven decisions for Latin America’s largest real-estate ecosystem.
Grupo QuintoAndar | Staff Data Engineer
Designs and maintains scalable data pipelines and platforms (Spark, Airflow, Databricks, AWS) to power analytics and decision-making for a large Latin American proptech company.
Senior Data Engineer
Build and maintain scalable data pipelines and cloud infrastructure for an edtech platform, using dbt, SQL, Terraform, and AWS, while collaborating with US-based teams.
Senior Data Engineer
Designs and maintains scalable data pipelines and cloud architectures for an edtech platform, using dbt, SQL, Terraform, and AWS, while collaborating with global engineering teams.
Senior Data Engineer (Databricks, Spark)
Build and optimize large-scale data pipelines on Databricks and Spark for a fast-growing neobank, ensuring clean, reliable datasets that power business metrics and customer-facing financial services.
Senior Data Engineer (Databricks, Spark)
Build and optimize large-scale data pipelines on Databricks and Spark for a neobank, ensuring clean, reliable datasets and efficient analytics infrastructure.
Data Engineer
The Data Engineer will build and maintain ETL/ELT pipelines to ingest high-volume network and customer data into an AWS-based data lake. The role focuses on data modeling, transformation using dbt, and ensuring data quality and reliability for analytics across the organization.
Data Engineer Specialist
Data Engineer Specialist designing, developing, and operating scalable Databricks data pipelines within the corporate security team, using Python, SQL, and Lakehouse (Medallion) architecture.
Lead Data Engineer (Brazil Based)
Lead a petabyte-scale AWS data platform, designing scalable pipelines and services in Scala/Spark to power data-driven marketing solutions while mentoring engineers and guiding architectural decisions.
Data Engineer - GCP | PL (Hybrid/SP)
Build and maintain scalable, reliable data pipelines on GCP using Spark, Airflow, Kafka, DBT, and SQL/NoSQL databases, implementing Data Lake and Lakehouse architectures.
Data engineer
Builds and maintains cloud-based data pipelines and models for analytics using Azure, Snowflake, and Python, collaborating with Agile/DevOps teams to ensure high-quality, scalable solutions.