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).
Data Engineer Coordinator
Leads data engineers, defines data architecture standards, and translates business needs into data strategies for a Brazilian bank, focusing on customer segmentation and personalized offerings using advanced analytics and data pipelines.
AWS Cloud Data Engineer
Designs and maintains scalable AWS cloud data pipelines, ETL/ELT workflows, and ML integrations using PySpark, AWS Glue, and SageMaker while automating infrastructure with Terraform/Opentofu.
Lead, Data Governance
Lead Alpaca’s data governance program: set classification, access, and protection standards for its global brokerage-data lakehouse and analytics stack, ensuring compliance with financial regulations and partner requirements.
Data Engineer (Databricks) | Specialist (Remoto)
Construção e manutenção de pipelines de dados escaláveis e confiáveis, utilizando tecnologias modernas de processamento distribuído para garantir a ingestão, transformação e disponibilização de dados com qualidade e…
Data Engineer II
Builds and maintains data pipelines in Databricks and Spark to load, transform, and serve retail banking data for analytics and decision-making.
Data Engineer Jr.
Builds and maintains the company’s data platform on Google Cloud, operating pipelines, troubleshooting data flows, and supporting analytics/data science teams to ensure scalable, reliable data infrastructure for decision-making and AI/ML applications.
🚀 | Data Engineer | Senior
Build and maintain scalable data pipelines on Google Cloud and BigQuery, integrating APIs like Stripe and GA4 to deliver clean, actionable datasets for finance, marketing, and business analytics in a healthcare-focused company.
Data Engineer ( 102-08SENG-01 )
Migrate a SQL Server enterprise data warehouse and SSIS integration layer from Azure to AWS, preserving 600+ stored procedures and 1,060 pipeline dependencies while maintaining ODS→EDW→BI workflows.
Data Platform Engineer (102-08SENG-01)
Migrate a large Azure Data Factory estate to Databricks workflows on AWS, rewriting pipelines as reusable templates and tuning PySpark transformations for production data volumes.
[Job-31133] Senior/Mid Level, Data Engineer, Brazil
Develops scalable data pipelines and AI-native solutions for enterprise clients, focusing on AWS-based data ingestion, orchestration, and performance optimization with Python/PySpark.
Data Engineer
Build and operate data pipelines, workflow orchestration, and warehouse modeling for a climate-tech company using Python, SQL, and tools like Airflow/Dagster/Prefect.
Pleno Data Engineer Azure (híbrido SP)
Works as a Data Engineer building and maintaining data pipelines in Azure and Databricks environments, collaborating with business areas to ensure data quality, security, and governance. Core technologies include Azure, Databricks, SQL, and Python.
Data Engineer II
As a Data Engineer II at Banco Bradesco, you work on data engineering tasks, including data processing, infrastructure, and related projects, contributing to the bank's technology initiatives.
Data Engineer Intern
A hands-on internship where you’ll build data pipelines, optimize databases, and support data-driven decisions under mentorship, gaining real-world experience in data engineering fundamentals.
Senior Data Governance Lead
Design and implement a Microsoft Fabric data governance framework for a global commodities trading firm, covering cataloging, lineage, and quality across fragmented ERP, CTRM, and SAP S/4HANA sources.