About the Role
The Data Engineer will design, develop, and maintain data infrastructure to support analytics and reporting. This role requires strong technical skills in data pipelines, ETL processes, and cloud platforms, along with collaboration across cross-functional teams to deliver reliable data solutions.
Responsibilities
- Design and implement data pipelines for efficient data ingestion and transformation
- Develop and maintain ETL workflows to ensure data accuracy and consistency
- Collaborate with analytics and product teams to understand data requirements
- Optimize data storage and query performance across data platforms
- Ensure data quality through monitoring, validation, and testing procedures
- Support the integration of new data sources into existing systems
- Work with cloud-based data services to deploy scalable solutions
- Document data models, schemas, and pipeline architectures
- Troubleshoot and resolve data-related issues in production environments
- Contribute to data governance and security best practices
- Participate in code reviews and maintain high development standards
- Automate routine data operations and monitoring tasks
- Assist in the migration of on-premise data systems to cloud environments
- Implement data versioning and lineage tracking
- Collaborate on the design of data warehouses and data lakes
- Use version control systems for data pipeline code management
- Stay current with data engineering trends and cloud technologies
- Support compliance with data privacy regulations
- Work in an agile environment with iterative development cycles
- Communicate technical concepts to non-technical stakeholders
Nice to Have
- Master’s degree in a technical field
- Experience with real-time data streaming platforms like Kafka
- Knowledge of machine learning pipelines and data science workflows
- Experience in regulated industries such as healthcare or finance
- Contributions to open-source data projects
- Certifications in cloud platforms or data engineering
- Experience with data governance frameworks
- Familiarity with infrastructure as code tools like Terraform
- Background in agile or DevOps practices
Compensation
Competitive salary based on experience and location
Work Arrangement
Remote
Team
Distributed team with members across Latin America and other regions
Why Join Us
- Opportunity to work on impactful data projects in a growing organization
- Supportive environment that values learning and professional development
- Collaborative culture with emphasis on transparency and inclusion
Technology Stack
- AWS and GCP for cloud infrastructure
- Python and SQL for data processing
- Airflow for workflow orchestration
- BigQuery and Snowflake for data warehousing
- Docker and Kubernetes for deployment
Not applicable
