Data Engineer – Microsoft Fabric, Data Pipelines

• Design, build, and deploy scalable ETL/ELT pipelines from operational systems, REST APIs, databases, and flat files into cloud environments
• Establish and maintain Data Lake/Lakehouse Bronze, Silver, and Gold storage layers
• Develop and execute automated Python, PySpark, and SQL scripts for schema validation, data quality enforcement, and inconsistency resolution
• Stage and structure target data repositories for query performance, data modeling, and Microsoft Power BI integration
• Use Microsoft Fabric, Data Factory, Synapse Analytics, and Azure Data Lake Storage to orchestrate workflows and monitor data pipelines
• Collaborate with Solution Architects, Project Managers, and BI Analysts to align deliverables with client reporting and business logic requirements
• Support client proposals and enterprise project execution

• Strong written and spoken English required
• Hands-on experience building, scheduling, and monitoring automated ETL/ELT pipelines
• Experience implementing Data Lake and Medallion Architecture patterns, including Bronze, Silver, and Gold layers
• Strong proficiency in Python or PySpark and advanced SQL for data manipulation, extraction, and script execution
• Solid experience within the Microsoft Cloud and Azure data ecosystem
• Experience with data quality validation, error handling, and loading data into target locations for downstream consumption
• Familiarity with data modeling requirements for Microsoft Power BI reporting
• Availability for a part-time, hourly engagement
• Nice to have: hands-on experience with Microsoft Fabric, including OneLake, Lakehouse, Data Factory, and Synapse Data Engineering
• Nice to have: Microsoft certifications such as DP-700, DP-203, or AZ-104
• Nice to have: experience in Agile environments with client-facing deliverables and Statement of Work milestones

• Part-time, hourly engagement
• Fully remote work arrangement
• Opportunity to support client proposals and enterprise project execution
• Work with Microsoft Azure and Microsoft Fabric technologies
• Collaboration with Solution Architects, Project Managers, and BI Analysts
• Potential exposure to client-facing deliverables and Statement of Work milestones