Senior Data Engineer - Enterprise Data Platform Lead (Azure, AI)

PRIORITY WASTE RESOURCES LLC

Clinton Charter Township (MI)

On-site

USD 120,000 - 180,000

Full time

14 days+

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Job summary

Priority Waste seeks a Senior Data Engineer to own the enterprise data platform powering our reporting, dashboards, and AI-driven automation. Based on-site at our Clinton Township, MI headquarters, you will take over an Azure-based platform and expand it to meet our growing data needs.

You will lead end-to-end data engineering, implement governance, build pipelines, and develop semantic models and dashboards using Power BI and Microsoft Fabric, collaborating closely with the CTO and operations

Qualifications

  • 8+ years of data engineering experience with ownership of production data platforms.
  • Fluency with AI agents and AI-assisted development.
  • Expert-level SQL and Python.

Responsibilities

  • Own and operate the enterprise data platform end to end, from source ingestion through report-ready data.
  • Build and maintain data pipelines (medallion architecture) on Azure and Microsoft Fabric.
  • Integrate data from core business systems: operations, payroll, fleet management, telematics, and others.
  • Model and maintain the warehouse layer that company dashboards and analytics are built on.
  • Build and maintain Power BI semantic models and dashboards.
  • Own platform operations: monitoring, alerting, and data quality.
  • Establish and maintain data governance: shared definitions, quality standards, and access.
  • Own and grow our existing AI automations for reporting and reconciliation.

Skills

SQL
Python
Azure
Data governance
AI agents

Tools

Power BI
Microsoft Fabric
APIs integration

Job description

Priority Waste seeks a Senior Data Engineer to own the enterprise data platform powering our reporting, dashboards, and AI-driven automation. Based on-site at our Clinton Township, MI headquarters, you will take over an Azure-based platform and expand it to meet our growing data needs.

You will lead end-to-end data engineering, implement governance, build pipelines, and develop semantic models and dashboards using Power BI and Microsoft Fabric, collaborating closely with the CTO and operations

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