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# Power BI Engineer / Developer

- **Company:** Akkodis group
- **Location:** Phoenix, AZ, United States
- **Experience:** Expert
- **Salary:** $93,600.0 - $95,680.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Business Analytics Applications, Cloud Computing, Databases, Information Engineering, Data Governance, Extract Transform Load (ETL), Data Warehousing, Performance Tuning, Systems Development Life Cycle, Power BI, SQL Stored Procedures, SQL Databases, Data Ingestion, Powerquery, Information Technology, Data Analytics, Data Pipelines
- **Published:** November 4, 2026
- **Apply:** https://www.careerbuilder.com/job-details/power-bi-engineer-developer-phoenix-az--f6575d91-849c-440b-94e2-116e85bbcb39

## About the Role

Power BI, Power Engineering, Power BI, Power Engineering, Reporting Dashboards, Database Extract Transform and Load (ETL), Application Programming Interface (API), Scalable System Development, Cloud Computing, Stored Procedures, * Bachelor's degree in computer science, Information Technology, Data Analytics, or a related field.

 * 5-8 years of experience in Power BI development, business intelligence, and data engineering.
 * Strong hands-on experience with Power BI Desktop, Power BI Service, DAX, Power Query (M), and advanced SQL.
 * Proven expertise in designing ETL/ELT pipelines, data warehouses, semantic models, and enterprise reporting solutions.

## Description

* Design, develop, and maintain enterprise-grade Power BI dashboards, reports, and semantic data models.
 * Build scalable ETL/ELT pipelines and integrate data from multiple sources including databases, APIs, and cloud platforms.
 * Develop and optimize SQL queries, stored procedures, and transformation logic to support analytics and reporting.
 * Create interactive visualizations and KPI-driven reports that deliver actionable business insights to stakeholders.
 * Implement data governance, security, quality controls, and performance optimization across Power BI and data engineering solutions.
 * Collaborate with cross-functional teams to gather requirements and deliver end-to-end analytics solutions from data ingestion to reporting.