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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 III - LATAM based in Brazil.
This role sits at the core of a modern data organization, focused on building reliable, scalable, and high-quality data infrastructure that powers analytics and decision-making across the business. You will contribute to the design and evolution of data pipelines, ensuring seamless ingestion, transformation, and delivery of data across multiple systems. The position involves close collaboration with data scientists, analysts, and engineers to translate business needs into robust technical solutions. You will play a key role in improving data quality, optimizing pipeline performance, and supporting the migration toward more scalable data architectures. The environment is collaborative and innovation-driven, with a strong emphasis on engineering best practices and continuous improvement. This is an opportunity to work on impactful data systems that directly support strategic decision-making and operational excellence.
Accountabilities
- Design, develop, and maintain scalable ETL/ELT data pipelines to ingest, transform, and load data from multiple sources into data warehouse environments.
- Implement and monitor data quality frameworks, ensuring accuracy, consistency, and reliability across datasets.
- Collaborate with data scientists, analysts, and business stakeholders to understand data requirements and deliver effective data solutions.
- Contribute to the development and maintenance of data models, schemas, and documentation to ensure consistency and usability.
- Monitor pipeline performance, troubleshoot data issues, and ensure timely resolution of incidents affecting data flows.
- Support the evaluation and adoption of new data tools, technologies, and best practices within the data engineering ecosystem.
- Participate in code reviews, documentation efforts, and knowledge-sharing initiatives to improve team capabilities.
- Assist in data governance efforts, including policies, standards, and procedures to ensure responsible data usage.
- Support migration and optimization of legacy pipelines toward more scalable and efficient architectures.
Requirements
- 3+ years of experience in data engineering or similar roles within data-intensive environments.
- Strong proficiency in Python or Java for data processing and pipeline development.
- Solid experience with SQL and relational database systems such as PostgreSQL, MySQL, or Oracle.
- Good understanding of data warehousing concepts, data modeling, and ETL/ELT methodologies.
- Experience working with cloud platforms such as AWS, Azure, or GCP.
- Hands-on experience with ETL tools such as Apache Airflow or similar workflow orchestration tools.
- Familiarity with NoSQL databases such as MongoDB is a plus.
- Strong analytical and problem-solving skills with attention to data quality and validation.
- Experience using Git for version control and collaborative development workflows.
- Ability to work effectively in cross-functional teams across data, engineering, and analytics.
- Strong communication skills and ability to document and explain technical solutions clearly.
Benefits
- 100% employer-covered health insurance with national and international coverage for LATAM employees.
- Monthly flexible benefits credits through a customizable benefits platform.
- Fully paid life insurance coverage with optional discounted beneficiary inclusion.
- Flexible work arrangements supporting work-life balance and remote-first collaboration.
- Professional development support and opportunities for continuous learning and growth.
- Generous paid time off, including holidays, personal time, and special leave days.
- Inclusive and diverse work environment focused on well-being, collaboration, and long-term growth.
How Jobgether Works
We use an
AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
Why Apply Through Jobgether?
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.