Data Mesh Engineer: Real-Time Pipelines & Fabric

JE Dunn; Kansas City (MO); On-site; USD 110,000 - 150,000; Full time

Benefits offered by this job

Professional Non-Union

Job summary

JE Dunn Construction is seeking a Data Engineer to design, implement, and maintain enterprise data architecture using Microsoft Fabric. You will build scalable data pipelines, implement medallion models within lakehouses, and ensure data quality and accessibility in support of JE Dunn’s strategy and values.

You will collaborate with data consumers and source system owners, focusing on governance, security, and robust data foundations across real-time and batch processing environments.

Qualifications

• Bachelor's degree in computer science, data engineering, data science or related field.
• 2+ years of experience in data analytics or data engineering.
• Experience with data mesh concepts, medallion models or similar architectures.

Responsibilities

• Design and build data mesh architecture using Microsoft Fabric OneLake Lakehouses with governance and security.
• Create and maintain data transformations ensuring quality and consistency.
• Develop real-time and batch data integration processes with bidirectional data flows.
• Develop and maintain API and delta connections for system interoperability.
• Implement data validation and monitor system performance and resources.
• Document data architecture, pipelines, and governance practices.
• Collaborate with cross-functional teams and support ML model data pipelines.

Skills

SQL

Python

Spark

Data modeling

Communication

Problem solving

Education

Bachelor's degree in computer science or data-related field

Tools

Microsoft Fabric

OneLake

REST APIs

Power BI

Microsoft Purview

Job description

JE Dunn Construction is seeking a Data Engineer to design, implement, and maintain enterprise data architecture using Microsoft Fabric. You will build scalable data pipelines, implement medallion models within lakehouses, and ensure data quality and accessibility in support of JE Dunn’s strategy and values.

You will collaborate with data consumers and source system owners, focusing on governance, security, and robust data foundations across real-time and batch processing environments.