Job Title: Data Engineer (Remote - South & Central America, Contract)
Location: Remote (Open to candidates in South & Central America), Must be able to work Pacific Time Zone Hours
Job Type: Contract - 1 Year
Compensation: $3,000 USD per month
Language: Written and spoken English in a professional environment required
About the Role:
Our e-commerce fashion client is seeking a Data Engineer to join their team on a fully remote, long-term contract. In this role, you will support the development and optimization of ETL pipelines, data processing workflows, and cloud-based data infrastructure. You will work with Snowflake and implement RBAC (Role-Based Access Control) while collaborating with senior engineers to enhance data reliability and security.
This is a great opportunity for an aspiring data engineer to gain hands-on experience with modern cloud data technologies in a fast-paced environment.
Key Responsibilities:
- Develop and maintain ETL pipelines to process structured and semi-structured data efficiently.
- Work with Snowflake to manage data ingestion, transformation, and storage.
- Implement RBAC policies to ensure proper data security and access control.
- Assist in migrating and optimizing data pipelines across AWS, GCP, and Azure platforms.
- Support Snowflake staging, Snowpipes, and data sharing processes for cost-efficient data storage and retrieval.
- Collaborate with cross-functional teams to ensure data integrity, security, and performance optimization.
- Troubleshoot data ingestion, performance bottlenecks, and integration issues in a cloud environment.
Required Skills & Experience:
- 1+ years of experience in data engineering, ETL development, or cloud-based data processing.
- Hands-on experience with Snowflake for data warehousing, Snowpipes, RBAC, and SQL transformations.
- Ability to use English professionally (written and spoken)
- Strong SQL skills, including experience with T-SQL, SnowSQL, and query optimization.
- Exposure to cloud platforms such as AWS, GCP, or Azure in a data engineering context.
- Basic knowledge of data encryption, masking, and security best practices.
- Some experience with data ingestion from APIs and third-party sources (e.g., social media or marketing platforms).
- Strong problem-solving skills and the ability to work independently in a remote-first, collaborative team environment.
Nice to Have:
- Familiarity with Apache Airflow for workflow orchestration.
- Basic experience with Python, PySpark, or DBT for data transformation and pipeline automation.
- Exposure to Fivetran connectors for data ingestion from various sources.
- Understanding of CI/CD pipelines, Docker, and Kubernetes for deployment automation.
- Experience with BI tools like Tableau or SSRS for reporting and data visualization.
