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# Business Intelligence Engineer (Remote)

- **Company:** Irvine Technology Corporation
- **Location:** Chicago, IL, United States (Remote available)
- **Experience:** Expert
- **Salary:** $110,000 - $120,000
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Code Review, Information Systems, Information Engineering, Data Governance, Extract Transform Load (ETL), Python (Programming Language), Machine Learning, Power BI, Requirements Management, SQL Databases, Software Version Control
- **Published:** November 11, 2026
- **Apply:** https://www.careerbuilder.com/job-details/business-intelligence-engineer-remote-chicago-il--a2a7b998-adb7-42ce-840a-952e2b006b6c

## About the Role

Business Intelligence, Business Intelligence, Reporting Dashboards, Machine Learning, Artificial Intelligence (AI), Power BI, Willing to Travel, Metrics, Training/Teaching, Requirements Management, * Bachelor's degree or higher in Business Analytics, Information Systems, or a related discipline, plus at least five years of experience in business intelligence, data engineering, data science, or a related field.

 * Expert Power BI skills, including designing and maintaining performant, documented semantic models that business users can easily access and understand.
 * Expert knowledge of one or more relevant languages, such as DAX, SQL, Python, or R; proficiency across multiple languages is a plus.
 * Strong understanding of data modeling and ETL best practices, experience with Git/GitHub, and knowledge of machine learning and AI applications in business intelligence.
 * Excellent communication and problem-solving skills, with the ability to independently own complex projects, support nontechnical stakeholders, and promote adoption through training and knowledge sharing.

## Description

* Design, build, and maintain Power BI dashboards, reports, visualizations, and semantic models that deliver consistent metrics and support self-service analytics.
 * Partner with business stakeholders to gather requirements, translate business needs into technical solutions, and provide user training and analytics office hours.
 * Develop optimized queries and collaborate with Data Engineering and QA teams to improve data models, upstream processes, and reporting accuracy.
 * Monitor reporting performance and availability, troubleshoot issues, and prioritize support tickets while keeping stakeholders informed.
 * Advance automation and AI-enabled analytics, follow data governance standards, and contribute to code reviews, version control, and technical documentation.