Data Engineer — Microsoft Fabric & Data Pipelines

Tonic3

2d

About The Position

Tonic3 is hiring a Data Engineer with expertise in the Microsoft ecosystem to support client proposals and enterprise project execution. The role designs, builds, and optimizes automated data pipelines that extract information from enterprise sources, validate and transform data, and implement a Medallion Architecture with Bronze, Silver, and Gold layers. Using Microsoft Azure and Microsoft Fabric, the engineer creates reliable datasets for enterprise analytics and Microsoft Power BI dashboards built directly on Microsoft Fabric. This is a part-time, hourly engagement.

Requirements

• Strong written and spoken English to collaborate with clients and teams and clearly explain technical concepts.
• 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 Haves

• Hands-on experience with Microsoft Fabric: OneLake, Lakehouse, Data Factory, and Synapse Data Engineering.
• Microsoft certifications such as DP-700 (Fabric Data Engineer Associate), DP-203 (Azure Data Engineer), or AZ-104 (Azure Administrator).
• Experience in Agile environments with client-facing deliverables and Statement of Work (SOW) milestones.

Responsibilities

• Design, build, and deploy scalable ETL/ELT pipelines that extract data from operational systems, REST APIs, databases, and flat files into the cloud environment.
• Establish and maintain a Data Lake/Lakehouse framework with Bronze raw-intake, Silver cleansed-and-validated, and Gold business-ready aggregated layers.
• Develop and execute automated Python, PySpark, and SQL scripts to validate schema compliance, enforce data quality rules, and resolve inconsistencies.
• Stage and structure target data repositories to optimize query performance and data modeling, and enable direct integration with Microsoft Power BI.
• Use Microsoft Fabric, Data Factory, Synapse Analytics, and Azure Data Lake Storage to orchestrate workflows and monitor data processing 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.

What This Job Offers

• Job Type: Part-time
• Education Level: No Education Listed