Power BI Developer

TechDigital Group

Princeton (NJ)

On-site

USD 140,000 - 210,000

Full time

14 days+

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Job summary

TechDigital Group in Princeton, NJ, is seeking a senior Power BI & Fabric Developer / Data Engineer with 10+ years of experience to lead architecture and development of enterprise analytics using Microsoft Fabric and Power BI. You will design scalable data models, secure data access, and optimize performance.

You will work with SQL backends, use Tabular Editor, GitHub Copilot, and REST APIs to implement end-to-end pipelines, governance, and data warehouses.

Qualifications

  • Minimum 10 years of professional experience in Data Engineering, BI, or Enterprise Analytics.
  • Deep expertise in Power BI, DAX, deployment pipelines, and data modeling.
  • Proven ability to implement RLS/OLS and secure data access.
  • Strong SQL skills including joins, CTEs, and performance tuning.
  • Hands-on with Microsoft Fabric ecosystem.

Responsibilities

  • Design, build, and optimize enterprise analytics using Fabric and Power BI.
  • Lead architecture, development, and optimization of data models and pipelines.
  • Ensure data security, governance, and scalable performance.
  • Utilize Tabular Editor and GitHub Copilot for model management and coding efficiency.
  • Work with REST APIs to integrate data from diverse sources.

Skills

Power BI
Microsoft Fabric
SQL
DAX
RLS
OLS
Tabular Editor
GitHub Copilot
REST APIs

Tools

Power BI Desktop/Service
Tabular Editor
GitHub Copilot

Job description

Power BI & Fabric

We are seeking a highly experienced, hands-on Power BI & Fabric Developer / Senior Data Engineer with minimum 10+ years of experience to join our team. In this role, you will lead the architecture, development, and optimization of enterprise-grade analytics solutions using Microsoft Fabric, Power BI, and robust SQL backend systems. The ideal candidate is a technical expert who leverages modern development practices (like Tabular Editor and GitHub Copilot) to deliver highly secure, performant, and scalable data models.

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