Senior Data Engineer for Global Projects

About

Take on a dynamic role as a Senior Data Engineer in a remote-first environment dedicated to global data innovation and analytics.

This position is crucial for designing modern data pipelines and optimizing performance across distributed systems. You’ll actively shape architecture practices, focusing on Medallion architecture while leveraging a cutting-edge technology stack to enhance data-driven product development.

Key Responsibilities:

• Develop and maintain high-performance data pipelines using DBT, Airflow, and Snowflake
• Implement and advance Medallion architecture for structured data access
• Create and optimize integrated ETL/ELT workflows
• Improve data quality and modeling practices for consistency
• Collaborate with cross-functional teams to derive actionable insights

Requirements:

• Expertise in SQL and Python for data engineering tasks
• Extensive DBT experience, including testing and snapshots
• Familiarity with cloud data warehouse solutions like Snowflake
• Demonstrated experience in designing data warehouses
• Strong communication skills for remote collaboration

Drive global data initiatives and make meaningful contributions to product evolution.