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Principal Power BI and Fabric Developer

Job in Princeton, Mercer County, New Jersey, 08540, USA
Listing for: Cynet Systems
Full Time position
Listed on 2026-07-26
Job specializations:
  • Software Development
    Data Engineering
Salary/Wage Range or Industry Benchmark: 43 - 48 USD Hourly USD 43.00 48.00 HOUR
Job Description & How to Apply Below

Job Overview

Pay Range: $43hr - $48hr

Requirement/Must Have:
  • Minimum of 10 years of professional experience in Data Engineering, Business Intelligence, or Enterprise Analytics.
  • Deep expertise in Power BI Desktop/Service, advanced DAX, deployment pipelines, Advanced Data Modeling, and performance optimization.
  • Proven experience implementing Row-Level Security (RLS) and Object-Level Security (OLS).
  • Mastery of SQL engineering, including complex Joins, Common Table Expressions (CTEs), performance tuning, and query optimization.
  • Hands-on experience navigating and building within the Microsoft Fabric ecosystem.
  • Proficiency with Tabular Editor (for managing tabular models) and REST APIs for data integration.
  • Experience utilizing Git Hub Copilot (or similar AI pair-programming tools) to optimize coding efficiency.
Responsibilities:
  • Design, build, and optimize scalable end-to-end data pipelines and advanced star-schema data models using Microsoft Fabric and Power BI.
  • Implement enterprise-grade security protocols within Power BI, including Row-Level Security (RLS) and Object-Level Security (OLS) to safeguard sensitive data.
  • Utilize external tools like Tabular Editor for advanced BIM model management, DAX scripting, and model optimization.
  • Write, optimize, and maintain advanced SQL queries (leveraging complex Joins, Window functions, and indexing) for seamless data integration.
  • Leverage Microsoft Fabric components (Lake houses, Data Warehouses, Data Factory, One Lake, and Direct Lake mode) to modernize data architecture.
  • Connect, extract, and ingest data from various source systems using REST APIs.
  • Integrate Git Hub Copilot into daily workflows to accelerate code generation, debugging, and documentation for SQL, DAX, and scripts.
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