Data Engineer

📋 Description

• Design and develop scalable cloud data platforms, including data warehouses, data lakes, and
• Build and maintain production-grade ETL/ELT pipelines, ingestion processes, transformation
• Integrate data from enterprise applications, ERP and financial systems, APIs, relational databases
• Develop logical, physical, and dimensional data models supporting analytics, business intelligence
• Implement Microsoft Fabric solutions using Data Factory, Lakehouse, OneLake, data engineering
• Design and optimize Snowflake environments, including warehouse structures, ELT processes

🎯 Requirements

• 5+ years of experience in data engineering, software engineering, or a related technical discipline.
• Advanced hands-on experience with Snowflake and Microsoft Fabric, including Fabric Data Factory
• Strong Python development and advanced SQL skills, with demonstrated experience building scalable
• Experience integrating data from ERP, financial, or operational platforms; experience extracting
• Strong understanding of modern data warehouse, lakehouse, dimensional modeling, and medallion
• Experience working with cloud-based data platforms in Azure and/or AWS environments.

🎁 Benefits

• $60 per hour.
• Primarily remote work arrangement.
• Contract engagement running from September 28, 2026, through September 28, 2027, as listed in the
• Initial engagement described as 6 months, with potential for extension or conversion to a full-time
• Occasional on-site meetings in Portland, Oregon, when required.
• Opportunity to work with Snowflake, Microsoft Fabric, Azure/AWS, Python, PySpark, SQL, and modern