Data Engineer: Scalable Pipelines & Analytics Models

Lazer Logistics; Alpharetta (GA); On-site; USD 105,315 - 129,891; Full time

Benefits offered by this job

General Benefits

Job summary

Lazer Logistics is seeking a Data Engineer to join the Data & AI team. You will build and maintain scalable data pipelines, models, and semantic layers that power analytics, business intelligence, and AI tools across the organization.

This role supports structuring data for AI consumption, including developing models and semantic layers used by Fabric Data Agents configured as MCP servers, while integrating data from multiple sources.

Qualifications

• Strong data modeling and engineering skills.
• Ability to collaborate with cross-functional teams and solve problems.
• Experience with data pipelines and semantic layers is a plus.

Responsibilities

• Design and build data models and semantic layers optimized for analytics, BI, and AI use cases.
• Develop and maintain scalable data pipelines for ingestion, transformation, and integration.
• Automate data workflows using Azure Data Factory, Fabric, Logic Apps, and APIs.
• Partner with the Enterprise Data team and stakeholders to translate data and AI requirements into practical solutions.
• Support business users in accessing and using data for reporting and analysis.
• Promote ownership and customer-service mindset within the team.

Skills

Data modeling

Data engineering

Collaboration

Problem solving

Tools

Azure Data Factory

Microsoft Fabric

Logic Apps

APIs

Job description

Lazer Logistics is seeking a Data Engineer to join the Data & AI team. You will build and maintain scalable data pipelines, models, and semantic layers that power analytics, business intelligence, and AI tools across the organization.

This role supports structuring data for AI consumption, including developing models and semantic layers used by Fabric Data Agents configured as MCP servers, while integrating data from multiple sources.