BI Engineer: AI-Accelerated Power BI & Fabric

The Judge Group; Pleasant Prairie (WI); Presencial; USD 95.000 - 125.000; Jornada completa

Descripción de la vacante

The Judge Group is seeking a Data & Analytics Engineer to build data pipelines, semantic models, and dashboards using Microsoft Fabric and Power BI. The role emphasizes Python/Databricks for data transformation and analytics, with a focus on scalable, enterprise-grade BI solutions.

The ideal candidate has hands-on BI experience, strong SQL, and the ability to collaborate with stakeholders to deliver reliable data insights. Manufacturing and life sciences exposure are a plus.

Formación

• 3–6 years of experience in data engineering or analytics.
• Hands-on with Microsoft Fabric (Lakehouses, Dataflows, Notebooks, Semantic Models).
• Strong Power BI development including dashboards, data modeling, DAX.
• Experience with Python and/or Databricks for data transformation and pipelines.
• Experience building enterprise reporting and analytics solutions.
• Strong SQL and modern data architecture understanding.
• Experience using Claude Code or similar AI-assisted development tools.
• Excellent communication and stakeholder collaboration.

Responsabilidades

• Build data pipelines and semantic models to support enterprise reporting and analytics.
• Develop dashboards and data visualizations using Power BI.
• Collaborate with business stakeholders and technical teams to deliver scalable data insights.

Conocimientos

Data engineering

Power BI development

Python or Databricks

SQL

Microsoft Fabric

AI-assisted tools (Claude Code)

Stakeholder collaboration

Data modeling

Herramientas

Microsoft Fabric

Databricks

Power BI

Descripción del empleo

The Judge Group is seeking a Data & Analytics Engineer to build data pipelines, semantic models, and dashboards using Microsoft Fabric and Power BI. The role emphasizes Python/Databricks for data transformation and analytics, with a focus on scalable, enterprise-grade BI solutions.

The ideal candidate has hands-on BI experience, strong SQL, and the ability to collaborate with stakeholders to deliver reliable data insights. Manufacturing and life sciences exposure are a plus.