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Fabric Data Engineer Jobs in Kansas (NOW HIRING)

Data Engineer

Leawood, KS · On-site

$111K - $133K/yr

Experience with Snowflake and/or Microsoft Fabric for data engineering, storage, transformation, and analytics enablement. * Experience working Azure Data Factory (ADF) or comparable orchestration ...

Senior Data Engineer

Overland Park, KS · Hybrid

$104K - $142K/yr

Relevant Microsoft Fabric, Azure Data, Databricks, cloud architecture, or data-engineering certifications are preferred. Security certifications such as CISSP, ISSAP, ISSEP, or equivalent ...

Senior Data Engineer

Leawood, KS · Hybrid

$103K - $140K/yr

Relevant Microsoft Fabric, Azure Data, Databricks, cloud architecture, or data-engineering certifications are preferred. Security certifications such as CISSP, ISSAP, ISSEP, or equivalent ...

Collaborate with IT and data engineering to evaluate and implement natural language query interfaces, including Power BI Q&A, Copilot for Microsoft 365, and Azure OpenAI Service connections to Fabric ...

Expertise with Microsoft Azure infrastructure and data resources, including Fabric, Azure Data ... Ability to create working environments for data engineers and scientists, and general knowledge of ...

Sr. Data Analyst

Overland Park, KS · On-site

$85K - $107K/yr

SQL and Python Some data engineering skills preferred including PySpark for Microsoft Fabric and Databricks Ability to work collaboratively in a team environment and communicate effectively with ...

Data Architect

Leawood, KS · On-site

$108K - $154K/yr

Implement DataOps/DevOps practices and automation to streamline and operationalize data workflows ... Synapse/Fabric, Amazon Redshift). * Strong expertise in data architecture, modeling (ERDs ...

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Fabric Data Engineer information

See Kansas salary details

$39.7K

$115.7K

$158.3K

How much do fabric data engineer jobs pay per year?

As of Aug 10, 2026, the average yearly pay for fabric data engineer in Kansas is $115,687.00, according to ZipRecruiter salary data. Most workers in this role earn between $102,100.00 and $122,600.00 per year, depending on experience, location, and employer.

What is a Fabric Data engineer?

Fabric Data Engineers are professionals who specialize in designing, building, and maintaining data solutions using Microsoft Fabric, an end-to-end analytics platform. They work with data integration, transformation, and storage, ensuring data is accessible and reliable for business intelligence and analytics. Their responsibilities often include setting up data pipelines, integrating multiple data sources, and optimizing data flows for performance and security. Fabric Data Engineers collaborate closely with data analysts, data scientists, and other IT teams to provide robust data infrastructure.

How does a Fabric Data engineer typically collaborate with data analysts and business stakeholders?

As a Fabric Data Engineer, you will regularly partner with data analysts and business stakeholders to understand data requirements, design efficient data pipelines, and ensure data is accessible and reliable for reporting and analytics. Collaboration often involves participating in planning meetings, translating business needs into technical data models, and providing support for troubleshooting data issues. Clear communication and a proactive approach are essential, as you'll be bridging technical solutions with business objectives within cross-functional teams.

What are the key skills and qualifications needed to thrive as a Fabric Data engineer, and why are they important?

To thrive as a Fabric Data Engineer, you need strong skills in data modeling, ETL development, and cloud data platforms, typically supported by a degree in computer science or a related field. Proficiency with Microsoft Fabric, Azure Synapse, SQL, Power BI, and data integration tools, as well as relevant certifications, is highly valuable. Excellent problem-solving, collaboration, and communication skills help bridge the gap between technical teams and business stakeholders. These competencies are crucial for designing efficient data solutions, ensuring reliable analytics, and supporting organizational decision-making.

What is the difference between Fabric Data Engineer vs Fabric Data Analyst?

AspectFabric Data EngineerFabric Data Analyst
CredentialsBachelor's in CS, Data Science, or related; experience with data pipelinesBachelor's in Statistics, Data Analysis, or related; proficiency in data visualization tools
Work EnvironmentBuilds and maintains data infrastructure in cloud or on-premise environmentsAnalyzes data, creates reports, and visualizations for business insights
Employer & Industry UsageUsed in tech, finance, and enterprise sectors for data engineering rolesCommon in marketing, finance, and business intelligence teams

Fabric Data Engineers focus on designing and maintaining data pipelines and infrastructure, ensuring data availability and quality. Fabric Data Analysts interpret this data, creating reports and visualizations to support decision-making. Both roles often collaborate but serve different functions within data teams.

What are popular job titles related to Fabric Data Engineer jobs in Kansas? For Fabric Data Engineer jobs in Kansas, the most frequently searched job titles are:
What job categories do people searching Fabric Data Engineer jobs in Kansas look for? The top searched job categories for Fabric Data Engineer jobs in Kansas are:
What cities in Kansas are hiring for Fabric Data Engineer jobs? Cities in Kansas with the most Fabric Data Engineer job openings:
Infographic showing various Fabric Data Engineer job openings in Kansas as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $115,687 per year, or $55.6 per hour.

$111K - $133K/yr

Full-time

Re-posted 28 days ago


Job description

Job Summary:
Murphy-Hoffman Company is North America’s largest Kenworth truck Dealership and Leasing group, and they are seeking a Data Engineer. The Data Engineer will design and develop data infrastructure, implement systems for data integration, and collaborate with data architects and business analysts to populate a data warehouse.
Responsibilities:
• Develops, tests, and maintains data pipelines and Extract, Transform, Load activities.
• Prepares data for various business use cases including data science, prescriptive and predictive modeling.
• Collaborates with the data architect to build and maintain the data systems specified by the data architect’s data framework.
• Designs, builds, and implements enterprise data warehouse and/or data lake for data storage and modeling in downstream analytics and reporting.
• Creates and maintains data models designed according to best practices which improve performance, flexibility, and accuracy used for analytics and reporting.
• Performs other duties as assigned by supervisor.
Qualifications:
Required:
• Bachelor’s degree in Data Management, Data Science, BI Analytics, or related
• Proven expertise in data modeling and data transformation
• Strong knowledge of database structure systems and data mining
• Experience working with Snowflake, Azure Data Factory, Qlik Replicate, SQL, T-SQL, DBT, Microsoft Fabric, Python/PySpark
• Ability to work in a team environment and independently
• Ability to work effectively in fast-paced changing environment and effectively manage multiple priorities within established time
• Proven ability to effectively communicate issues and potential resolutions to business units, other team members, project managers, and leaders as necessary
Company:
MHC Kenworth is a full-service leasing and rental operations, and a finance company which offers finance and insurance services. Founded in 1975, the company is headquartered in Leawood, USA, with a team of 1001-5000 employees. The company is currently Late Stage.