IT Data Engineer

DataJobs; Kansas City (MO); On-site; USD 110,000 - 160,000; Full time

Benefits offered by this job

Benefits package: Professional Non-UN

Job summary

JE Dunn is seeking an IT Data Engineer to build a scalable data foundation using Microsoft Fabric, focusing on enterprise data architecture, reliable pipelines, and trusted data. The role partners with data consumers and source system owners to ensure data quality, accessibility and interoperability for analytics and ML workflows.

Responsibilities include implementing a data mesh, real-time and batch integrations, API connections, governance, security, and comprehensive documentation.

Qualifications

• Bachelor’s degree in computer science, data engineering, data science or related field.
• Excellent communication, written and verbal.
• Strong time management and ability to prioritize multiple projects.
• Ability to drive change through innovation and process improvement.

Responsibilities

• Design and implement a data mesh architecture using Microsoft Fabric OneLake Lakehouses with data governance and security measures.
• Create and maintain data transformation processes to drive data quality and consistency.
• Develop and run synchronous (real-time) and batch integration processes with unidirectional and bidirectional data flows.
• Implement API and delta connections to enable system interoperability.
• Use data validation to support reliable data exchange between systems.
• Monitor system performance, compute resources, and storage utilization; troubleshoot pipeline failures.

Skills

SQL

Python

Spark

Power BI

REST APIs

Data governance

Microsoft Fabric

Data mesh

Data quality

Education

Bachelor’s degree in Computer Science / Data Engineering or related field

Tools

Microsoft Purview

OneLake Lakehouses

Job description

Build a scalable data foundation with Microsoft Fabric in a role focused on enterprise data architecture, reliable pipelines, and data you can trust. This onsite IT Data Engineer position at JE Dunn partners with data consumers and source system owners to deliver data quality, accessibility, and interoperability that supports both analytics and machine learning workflows.

What you’ll do

• Design and implement a data mesh architecture using Microsoft Fabric OneLake Lakehouses, including data governance and security measures
• Create and maintain data transformation processes that drive data quality and consistency
• Develop and run synchronous (real-time) and batch integration processes, supporting unidirectional and bidirectional data flows as needed
• Implement API and delta connections to enable system interoperability
• Use data validation to support successful data exchange between systems
• Monitor system performance, compute resources, and storage utilization
• Troubleshoot pipeline failures and address performance bottlenecks
• Maintain comprehensive documentation for data architecture, pipelines, and processes
• Collaborate cross-departmentally to identify data synergies and opportunities
• Monitor and maintain deployed machine learning models
• Document ML model data dependencies, pipelines, and infrastructure requirements
• Support ML model development by ensuring reliable data pipelines for training and inference

Required skills and experience

• Ability to perform work accurately and completely, in a timely manner
• Communication skills (verbal and written)
• Time management and ability to prioritize multiple projects
• Ability to drive change through innovation and process improvement
• Ability to communicate to executive audiences and deliver results through influence
• Proficiency in MS Office (Intermediate)
• Proficiency in SQL (Intermediate)
• Proficiency in Python (Intermediate)
• Proficiency in Spark (Intermediate)
• Experience implementing data mesh architecture and medallion models
• Experience with various data integration patterns and technologies
• Knowledge of data governance and security best practices

Preferred experience

• Experience developing and consuming REST APIs for data integration
• Familiarity with Power BI and Microsoft Fabric
• Experience with Microsoft Purview or similar data catalog and governance tools
• Understanding of machine learning concepts and MLOps

Tech stack

• Microsoft Fabric (including OneLake Lakehouses)
• SQL, Python, Spark
• REST APIs
• Power BI
• Microsoft Purview

About your background

Minimum experience: 2 years.

Education: Bachelor’s degree in computer science, data engineering, data science or related field. In lieu of these requirements, equivalent relevant experience will be considered.

Benefits and working details

• Benefits package: Professional Non-Union
• Location: Kansas City, MO, US (onsite)
• Working environment: Normal office environment; frequent sitting and viewing a computer screen; occasional standing, walking, bending, and reaching above shoulder
• Physical requirement: Must be able to lift up to 10 pounds
• Travel: May require periods of travel

Additional notes

This role may accept applications for at least three business days and may continue to be posted until a qualified applicant is selected or the position has been cancelled. JE Dunn provides reasonable accommodations to qualified individuals with disabilities. JE Dunn Construction will not sponsor an applicant for work visa status or employment authorization, and will not offer immigration-related support for this position.