Data Engineer

About the role

The Data Engineer designs, builds, and maintains scalable data pipelines, integrations, and data models to support enterprise reporting, analytics, data migration, and operational decision‑making, contributing to XTG’s modernization of its cloud‑based data platform using Microsoft Fabric, Power BI, Azure DevOps, and Dynamics 365 initiatives.

About the company

Exponential Technology Group (XTG) is a specialist in electronic component distribution and design engineering services, part of the TTI Family of Companies, operating remotely with ideal locations in DFW, Phoenix, Atlanta or Raleigh‑Durham.

Requirements

• Bachelor’s degree in Computer Science, Information Systems, Data Engineering, Software Engineering, or related field, or equivalent professional experience
• 4+ years of professional experience in data engineering, business intelligence, analytics engineering, or enterprise data integration
• Experience building and maintaining data pipelines, ETL/ELT processes, data warehouses, lakehouses, or cloud‑based analytics platforms
• Experience working with enterprise systems such as ERP, CRM, financial, operational, or supply chain platforms (preferred)
• Experience supporting data migration, system integration, or enterprise reporting initiatives (preferred)
• Strong SQL development skills, including query optimization, joins, aggregations, views, stored procedures, and data validation logic
• Hands‑on experience with Microsoft Fabric, Azure Synapse, Azure Data Factory, Databricks, or similar cloud data platforms
• Working knowledge of Power BI, semantic models, data modeling, and reporting data structures
• Ability to work independently on complex technical tasks while collaborating with business and technical stakeholders
• Strong documentation skills, including technical designs, data mappings, source‑to‑target logic, and operational procedures
• Exposure to or interest in AI‑assisted development, automation, metadata‑driven frameworks, or agentic AI tooling
• Microsoft certifications related to Fabric, Azure Data Engineering, Power BI, or Data Fundamentals (preferred)
• Must be a U.S. Person as defined by ITAR; visa sponsorship not available; authorized to work in the United States