Senior Data Engineer, Microsoft Fabric (Part-Time Contract, Remote US)

SupplyTech Solutions is hiring a senior data engineer for a long-term, part-time partnership supporting client data platforms. The role builds and models Microsoft Fabric warehouses, reverse-engineers source systems and business logic, and designs safe AI access to live environments.

Responsibilities:

• Data Modeling and Warehouse Design: Design and build in Fabric warehouses and lakehouses, and in Azure SQL. Dimensional modeling, keys and grain, slowly changing dimensions, and semantic models with defined measures and security
• Source Analysis and Business Logic Translation: Reverse-engineer unfamiliar schemas such as DB2 on IBM i, NetSuite or a vendor’s SQL Server. Then explain them in plain business terms through data dictionaries, logic walkthroughs and diagrams a client executive can follow
• Production Safety: Read from live systems without affecting them (replicas, change data capture, off-peak loads, query limits and capacity). Design write-backs that are transactional, safe to retry, tested outside production first and reversible

Requirements:

• Production experience with Fabric warehouses and lakehouses, Data Factory pipelines and Dataflow Gen2, the on-premises data gateway, and Power BI semantic models (Direct Lake, row- and object-level security)
• You should be comfortable managing capacity and performance
• 7 or more years in data engineering, including at least one warehouse modeled and built from scratch
• Advanced T-SQL plus at least one other SQL dialect, and working Python
• Hands-on work against a live ERP or transactional database, not only analytics copies
• You can walk a non-technical business owner through a schema, a query or a data flow, and you write documentation people actually use
• Microsoft Certified: Fabric Data Engineer Associate (DP-700) or Fabric Analytics Engineer Associate (DP-600)
• DP-700 is preferred
• You have built or configured MCP servers, connected LLM tools to databases, or worked on text-to-SQL or semantic layers for AI
• DB2 or IBM i, NetSuite (SuiteQL, SuiteAnalytics Connect), Dynamics 365, Snowflake or Databricks
• Azure Data Engineer (DP-203), Power BI Data Analyst (PL-300) or Azure Database Administrator (DP-300)