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