Data Engineer - Data & AI

Opportunity Overview

AOPartners is working with a growing multi-facility organization to find a Data Engineer focused on data and AI. This is a new capability for the organization. You'll build the modern data foundation on Microsoft Fabric and help put AI to work across the business. The company is actively piloting AI platforms and wants someone who can connect data infrastructure to practical, business-ready results.

Role Description

• Design, build, and maintain data pipelines and lakehouse/warehouse solutions in Microsoft Fabric.
• Develop data ingestion, transformation, and modeling in Python and SQL.
• Build and manage CI/CD pipelines for data workloads (Azure DevOps / GitHub Actions).
• Integrate data from ERP, operational, and business systems into a unified platform.
• Support AI proofs of concept and pilots, including data readiness, integrations, and deployment.
• Deliver clean, reliable datasets for reporting and analytics (Power BI).
• Set data quality, governance, and documentation standards.
• Communicate findings and solutions in clear, presentation-ready terms.

Role Requirements

• 3–7+ years in data engineering.
• Hands-on Microsoft Fabric experience (Data Factory, Lakehouse, Warehouse, Notebooks). Synapse or Databricks background is also considered.
• Strong Python and SQL skills.
• Experience building CI/CD pipelines and using DevOps practices for data.
• Exposure to AI/LLM applications, such as RAG, API integrations, or working with Claude, OpenAI, or similar platforms.
• Ability to work independently in an environment where you'll be building capability from the ground up.
• Preferred: Power BI, Azure data services, and DP-600/DP-700 certification.

Details

• Location: Dallas, TX. Local candidates strongly preferred.
• Type: Contract-to-hire.