New York Technology Partners

Power BI Engineer

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Power BI Engineer on a contract basis, requiring expertise in Power BI, Tableau, SQL Server, and Azure. Key skills include ETL/ELT pipeline development, data governance, and automation. Strong analytical abilities and leadership experience are essential.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
400
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🗓️ - Date
July 15, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Unknown
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Chicago, IL
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🧠 - Skills detailed
#Azure Data Factory #Process Automation #"ETL (Extract #Transform #Load)" #SQL (Structured Query Language) #SQL Server #Data Engineering #GitHub #Data Governance #Data Quality #Microsoft Power BI #Leadership #Scala #Azure #Python #Tableau #ADF (Azure Data Factory) #BI (Business Intelligence) #AI (Artificial Intelligence) #Automation
Role description
• Design, develop, and maintain enterprise reporting solutions using Power BI, Tableau, SQL Server, and Azure technologies. • Build, optimize, and maintain ETL/ELT pipelines with Azure Data Factory (ADF), Cozyroc, PL/SQL, Python, and SQL Server. • Develop scalable data models and reporting architectures to support business intelligence and analytics initiatives. • Ensure data quality, validation, performance optimization, and reliability across reporting and data engineering workflows. • Troubleshoot and resolve complex production issues while meeting SLA requirements and maintaining system stability. • Collaborate with business stakeholders and clients to gather requirements and deliver end-to-end reporting solutions. • Leverage AI-powered tools, including Power BI Copilot and GitHub Copilot, to improve reporting development and automation. • Drive reporting standardization, data governance, and process automation to enhance operational efficiency. • Provide technical leadership, communicate project status effectively, and work independently in high-visibility environments. • Apply strong analytical and problem-solving skills to deliver scalable, enterprise-level data and reporting solutions.