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IT Data Engineer

JE Dunn jedunn.com Open · verified Oct 24, 2026
Kansas City Mid-level Data Engineering

At a glance

Mid-level Data Engineering role at JE Dunn. Kansas City · no salary stated · we estimate $112,500–$160,000 across the United States.

Estimated pay

JE Dunn has not published a salary for this role. The figure below is our estimate, not theirs.

$112,500 – $160,000
What the middle half of mid-level data engineering roles in the United States paid, among postings that did state a salary.
Worked out from 386 postings that stated pay, median $134,547. Last updated Oct 24, 2026.
RoleData Engineering
SeniorityMid-level
LocationKansas City
PostedSep 26, 2026 · 4w ago
Role brief

dataroles summary, based on the employer's posting.

What you'll do

  • Build OneLake lakehouses in Microsoft Fabric around a data mesh, with governance and security controls
  • Create transformation and integration flows for real-time and batch exchange between systems
  • Add data checks and API or delta connections so systems exchange reliable, consistent information
  • Track compute, storage and pipeline health, then fix failures and performance slowdowns
  • Support machine learning data flows and document model dependencies, pipelines and infrastructure needs

What you bring

  • At least two years working in data analytics or data engineering
  • A bachelor's degree in computer science, data engineering, data science or a related field, or equivalent relevant experience
  • Working proficiency in SQL, Python and Spark
  • Experience applying data mesh and medallion models, plus knowledge of integration patterns and data governance

Who this fits

This mid-level technical implementation role suits someone who can make non-routine decisions while referring exceptions to a supervisor. The job is based in Kansas City and may involve travel; it includes occasional lifting of up to ten pounds. Work visa sponsorship and immigration-related support are unavailable.

From the employer

Best People + Right Culture. These are the driving forces behind JE Dunn’s success.

By hiring inspired people, giving them interesting and challenging work, enabling them with innovative tools, and letting them share in the company’s rewards, we’ve found a sustainable way to grow in our industry for the last 100+ years.

Our diverse teams around the country strive to enrich lives through inspired people and places everyday, and we need inspired people like you to join us in building authentic partnerships.

Role Summary

The Data Engineer designs, implements, and maintains the enterprise data architecture using Microsoft Fabric. This role focuses on creating scalable data pipelines, implementing the medallion architecture within lakehouses, and ensuring data quality and accessibility. The position functions as a technical implementer within the data engineering team, collaborating with data consumers and source system owners to create a robust data foundation. All activities will be performed in support of the strategy, vision and values of JE Dunn.

  • Autonomy & Decision-Making: Makes decisions on non-routine matters, provides recommendations to supervisor, and refers all exceptions to supervisor.
  • Career Path: Senior Data Engineer

Key Role Responsibilities - Core

  • Design and implement a data mesh architecture using Microsoft Fabric's OneLake Lakehouses, including data governance and security measures
  • Establish data transformation processes that ensure data quality and consistency
  • Develop and maintain both synchronous (real-time) and batch data integration processes, implementing unidirectional and bidirectional data flows between systems as needed
  • Develop and maintain API and delta connections for system interoperability
  • Implement data validation processes to ensure successful data exchange between systems
  • Monitor system performance, compute resources, and storage utilization
  • Troubleshoot and resolve data pipeline failures and performance bottlenecks
  • Maintain comprehensive documentation of data architecture, pipelines, and processes
  • Foster cross-departmental collaboration 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 model training and inference

Key Role Responsibilities - Additional Core

N/A

Knowledge, Skills & Abilities

  • Ability to perform work accurately and completely, and in a timely manner
  • Communication skills, verbal and written
  • Time management skills
  • Ability to prioritize multiple projects
  • Ability to drive change through innovation & 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
  • Experience developing and consuming REST APIs for data integration (Preferred)
  • Familiarity with Power BI and Microsoft Fabric (Preferred)
  • Experience with Microsoft Purview or similar data catalog and governance tools (Preferred)
  • Understanding of machine learning concepts and MLOps (Preferred)

Education

  • Bachelor’s degree in computer science, data engineering, data science or related field (Required)
  • In lieu of the above requirements, equivalent relevant experience will be considered.

Experience

  • 2+ years of experience in data analytics or data engineering (Required)

Working Environment

  • Must be able to lift up to 10 pounds
  • May require periods of travel
  • Normal office environment
  • Frequent activity: Sitting, Viewing Computer Screen
  • Occasional activity: Standing, Walking, Bending, Reaching above Shoulder

Benefits Information

The benefits package aligned to this position is Professional Non-Union. Please click the link below for more details.

Click here for benefits details

This role is expected to 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 Construction is committed to hiring and retaining a diverse workforce. We are proud to be an Equal Opportunity/Affirmative Action Employer and it is our policy to provide equal opportunity to all people without regard to race, color, religion, national origin, ancestry, marital status, veteran status, age, disability, pregnancy, genetic information, citizenship status, sex, sexual orientation, gender identity or any other legally protected category. JE Dunn Construction is a background screening, drug-free workplace.

JE Dunn provides reasonable accommodations to qualified individuals with disabilities. If you would like to request a reasonable accommodation in order to apply for a job, please submit your request to accommodations@jedunn.com

JE Dunn Construction Company does not accept unsolicited resumes from search firms or agencies. Any resume submitted to any employee of JE Dunn Construction without a prior written search agreement will be considered unsolicited and the property of JE Dunn Construction Company. Please, no phone calls or emails.

***For this opportunity, JE Dunn Construction will not sponsor an applicant for work visa status or employment authorization, nor will we offer any immigration-related support for this position (including but not limited to H-1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN-1 or TN-2, E-3, O-1, or future sponsorship for U.S. lawful permanent residence status.)***

Opportunity

Data Engineering work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Data Engineering

Find me work

By the team behind dataroles.

Find me work
Opportunity

Data Engineering work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Find me work

By the team behind dataroles.