Data Engineer - LATAM - Remote

Overview

We are looking for Data Engineers skilled in data pipeline development, ETL processes, and data warehousing for our U.S. clients, exclusively considering applications from individuals currently residing in LATAM.

In Short

• Fully remote position for LATAM residents.
• Design, develop, and maintain scalable data pipelines.
• Build and optimize data warehouses using AWS Redshift, Snowflake, or Google BigQuery.
• Ensure data quality and integrity through validation protocols.
• Collaborate with data scientists and analysts.
• 3+ years of experience in data engineering.
• Expertise in SQL, Python, and ETL tools required.
• Strong knowledge of cloud data solutions (AWS, Google Cloud, Azure).
• Fluency in English is required.
• Full-time role with 40 hours per week.

Requirements

• 3+ years in data engineering.
• Expertise in SQL, Python, and ETL tools.
• Strong knowledge of cloud data solutions.
• Experience with distributed data processing (Apache Spark) is a plus.
• Fluency in English; additional languages are a plus.

Benefits

• 100% remote role.
• Compensation in USD.
• Paid Time Off for full-time roles.
• Career advancement opportunities.
• Grow along a top US company.