Real job — pulled straight from Jobgether’s careers page · Verified September 12, 2026 · No reposts.
Job description
Jobgether is hiring a Data Engineer — a full-time, based in Brazil role. Apply directly on Jobgether's careers page below.
Data Engineer
Team: IT
Location: Brazil
Commitment: Full-time
Workplace Type: remote
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Data Engineer based in Brazil.
This role offers the opportunity to help build, maintain, and modernize a growing data platform in a cloud-first environment. You will design reliable data pipelines and scalable data solutions that enable teams to access and use high-quality information effectively. The role combines modern AWS infrastructure with opportunities to improve and transition legacy data processes. You will work across batch and real-time data workflows, APIs, integrations, and data warehouse solutions. Collaboration with analytics teams and other stakeholders will be central to understanding requirements and delivering practical solutions. This is a hands-on opportunity to improve data reliability, performance, security, and quality while contributing to the evolution of the broader data architecture.
Accountabilities
- Design, develop, and maintain scalable and reliable data pipelines and Extract, Transform, Load (ETL) and Extract, Load, Transform (ELT) processes.
- Develop, maintain, and optimize data warehouse solutions and data models.
- Build and maintain data infrastructure primarily on Amazon Web Services (AWS), while supporting relevant legacy systems.
- Develop APIs and data integrations to enable effective data exchange across systems.
- Contribute to real-time data pipelines and processing using Apache Kafka.
- Automate and optimize data processes, workflows, and operational tasks.
- Monitor, troubleshoot, and continuously improve the reliability, performance, security, and data quality of pipelines and infrastructure.
- Work closely with analytics teams and other stakeholders to understand data requirements and deliver effective technical solutions.
- Maintain accurate and up-to-date documentation covering pipelines, infrastructure, workflows, and operational processes.
- Contribute to the modernization of legacy data processes, infrastructure, and overall data architecture.
- 2+ years of professional experience in data engineering.
- Strong SQL and Python programming skills.
- Hands-on experience with AWS services, particularly Amazon S3, Amazon Redshift, AWS Glue, and AWS Lambda.
- Practical experience with Apache Airflow for data workflow orchestration.
- Strong understanding of data warehousing principles and data modeling.
- Experience designing, developing, and maintaining production-grade data pipelines, with a strong focus on reliability, monitoring, and data quality.
- Solid understanding of both relational and non-relational databases.
- Familiarity with Git and Continuous Integration/Continuous Deployment (CI/CD) practices, preferably using GitLab.
- Experience developing APIs and building data integrations.
- Strong written and verbal communication skills.
- Upper-intermediate English proficiency or higher.
- Experience with Kafka and real-time data processing is a plus.
- Experience with Microsoft SQL Server and SQL Server Integration Services (SSIS) is a plus.
- Full-time position.
- Opportunity to work within an Analytics-focused environment.
- Remote working arrangement.
- Opportunity to contribute to modern cloud-based data infrastructure.
- Hands-on exposure to AWS, Airflow, Kafka, data warehousing, and data modernization initiatives.
- Opportunity to contribute to the improvement of data reliability, quality, performance, and architecture.
- Collaborative work with analytics teams and cross-functional stakeholders.
Requirements
Benefits
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Frequently asked questions
What skills are required for Data Engineer at Jobgether?
The required skills for Data Engineer at Jobgether include: SQL, Python, AWS, S3, Redshift, Lambda, Airflow, Data Warehousing, Git, CI/CD, GitLab, API, Kafka, SQL Server.
What is the seniority level for Data Engineer at Jobgether?
Data Engineer at Jobgether is a Mid Level level position.
How do I apply for Data Engineer at Jobgether?
You can view the full description and apply for Data Engineer at Jobgether on EchoJobs: https://echojobs.io/job/jobgether-data-engineer-zlsx8.