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Data Engineer Jobs in Kansas (NOW HIRING)

NinjaOne

Data Software Engineer

Kansas, KS · On-site +1

About the Role At NinjaOne, we're looking for a skilled Data Engineer to join our team and help drive the future of our data infrastructure. You'll play a critical role in building, maintaining, and ...

StackAdapt

This role will be responsible for all operational database administration duties, data engineering, and data operations within the Data Lake and Enterprise Data Warehouse (Snowflake) ecosystem ...

NinjaOne

Senior Data Engineer

Kansas, KS · On-site +1

$93.50K - $127K/yr

About the Role At NinjaOne, we're looking for a skilled Senior Data Engineer to join our team and help drive the future of our data infrastructure. You'll play a critical role in building ...

Truity Credit Union

Data & AI Engineer

Kansas City, KS · On-site

$104.50K - $125.50K/yr

JOB SUMMARY Truity Credit Union is seeking a data-savvy and forward-thinking Data and AI Engineer to advance our data management and AI enablement capabilities. This role focuses on automating data ...

Truity Credit Union

Data & AI Engineer

Lawrence, KS

$104.50K - $125.50K/yr

JOB SUMMARY Truity Credit Union is seeking a data-savvy and forward-thinking Data and AI Engineer to advance our data management and AI enablement capabilities. This role focuses on automating data ...

TRUITY CREDIT UNION

Data & AI Engineer

Bartlesville, OK

$98.30K - $118K/yr

JOB SUMMARY Truity Credit Union is seeking a data-savvy and forward-thinking Data and AI Engineer to advance our data management and AI enablement capabilities. This role focuses on automating data ...

Moore DM Group LLC

Data Programmer

Topeka, KS · On-site

$23 - $24/hr

Plan and execute a data processing workflow. * Receive, analyze and manipulate data using third-party and in-house software. * Work with data in a variety of formats including Access, Excel, comma ...

Moore

Data Programmer

Topeka, KS

Plan and execute a data processing workflow. * Receive, analyze and manipulate data using third-party and in-house software. * Work with data in a variety of formats including Access, Excel, comma ...

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$39.7K

$115.7K

$158.3K

How much do data engineer jobs pay per year?

As of May 30, 2026, the average yearly pay for 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 Does a Data Engineer Do?

The job duties of a data engineer involve helping with the development of systems, software, and infrastructure used to process, store and analyze data. Your responsibilities in this career include working to install data management software. Your employer may expect you to perform maintenance and install updates to all software and systems that they use for data acquisition, management, and analysis. Data engineers also analyze existing data systems to find ways to improve efficiency and accessibility. You then suggest upgrades or changes based on your assessment.

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

To thrive as a Data Engineer, you need a strong background in computer science, data modeling, and programming languages such as Python or Java, often coupled with a relevant degree. Familiarity with ETL tools, big data frameworks (like Hadoop or Spark), and cloud platforms (such as AWS or Azure) is typically required, along with certifications like AWS Certified Data Analytics. Strong problem-solving skills, attention to detail, and effective communication set exceptional data engineers apart. These skills and qualities are essential for building robust data pipelines, ensuring data quality, and supporting data-driven decision-making across organizations.

How do Data Engineers typically collaborate with Data Scientists and Analysts within an organization?

Data Engineers play a crucial role in ensuring that Data Scientists and Analysts have reliable, well-structured data for their projects. This collaboration often involves building and maintaining data pipelines, optimizing data storage solutions, and troubleshooting data quality issues. Regular communication and agile teamwork are common, with Data Engineers frequently participating in meetings to understand analytical requirements and adjust data processes accordingly. By working closely together, these teams can quickly iterate on data models and deliver actionable insights to drive business decisions.

What are Data Engineers?

Data Engineers are IT professionals who design, construct, install, and maintain large-scale processing systems and other infrastructure for collecting, storing, and analyzing data. They build and optimize data pipelines and architectures that allow organizations to efficiently access and use data for business insights. Data Engineers work closely with data scientists, analysts, and other stakeholders to ensure that data is reliable, accessible, and secure. Their responsibilities often include working with databases, cloud platforms, and big data tools.

What is the difference between Data Engineer vs Data Scientist?

AspectData EngineerData Scientist
Primary FocusBuilding and maintaining data pipelines and infrastructureAnalyzing data to extract insights and create models
SkillsSQL, ETL, programming (Python, Java), database managementStatistics, machine learning, data analysis, programming (Python, R)
Work EnvironmentData warehouses, cloud platforms, backend systemsData analysis environments, research labs, visualization tools
Common ToolsApache Spark, Hadoop, Airflow, SQLJupyter, RStudio, Tableau, scikit-learn

Data Engineers focus on creating and maintaining the infrastructure that allows data to be collected, stored, and processed efficiently. Data Scientists analyze this data to generate insights, build predictive models, and support decision-making. While their skills overlap, Data Engineers are more involved in data pipeline development, whereas Data Scientists focus on data analysis and modeling.

More about Data Engineer jobs
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What job categories do people searching Data Engineer jobs in Kansas look for? The top searched job categories for Data Engineer jobs in Kansas are:
What cities in Kansas are hiring for Data Engineer jobs? Cities in Kansas with the most Data Engineer job openings:
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Data Engineer jobs near you
Data Engineer-Kiewit Nuclear Solutions 1

Data Engineer-Kiewit Nuclear Solutions 1

Kiewit Corporation

Lenexa, KS • Remote

$107.50K - $129.10K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 10 days ago

Kiewit Corporation rating

8.0

Company rating: 8.0 out of 10

Based on 133 frontline employees who took The Breakroom Quiz

14th of 77 rated construction

Job description

Requisition ID: 180211 

Job Level: Mid Level 

Home District/Group: Kiewit Nuclear Solutions 

Department: Technology Group 

Market: Nuclear 

Employment Type: Full Time 
 

Position Overview

Kiewit is seeking a Power BI Developer to architect, design, and deliver enterprise-grade analytics solutions supporting complex EPC projects across the organization. This is a technical role that involves building strong relationships with project and discipline leads and deploying complex data strategies activities across Kiewit's business functions. This role operates within the Digital Project Execution (DPE) team and will collaborate closely with data engineers, solution architects, project leadership, and technology teams to deliver production-grade BI solutions that drive operational decisions on major construction programs.

District Overview

This position is within the Kiewit Technology Group, supporting Kiewit Nuclear Solutions. 

Location

This is a remote position that may require some travel. 

#LI

Responsibilities

Power BI Development

  • Develop interactive dashboards for project and field use
  • Implement row-level security (RLS), object-level security (OLS), and governance standards
  • Deploy and manage solutions within Power BI capacities
  • Configure and optimize data gateways
  • Manage workspaces, deployment pipelines, and versioning strategies
  • Design and develop scalable Power BI datasets using modeling best practices
  • Build optimized semantic models supporting enterprise-scale reporting
  • Implement incremental refresh, aggregation tables, composite models, and DirectQuery/Import hybrid architectures
  • Engineer high-performance DAX measures for complex business logic
  • Troubleshoot and refactor poorly performing models
  • Contribute to enterprise data standards and BI best practices

Data Integration and Engineering Collaboration

  • Work with data engineers to define optimized data contracts
  • Analyze and troubleshoot end-to-end data pipelines
  • Contribute to ELT design patterns across:
    • Azure Data Lake (ADLS Gen2)
    • Azure Databricks (Spark / PySpark / Spark SQL)
    • Azure Data Factory
    • SQL Server / Azure SQL
  • Ensure datasets are structured for performance, scalability, and reusability
Qualifications

Technology stack

Primary:

  • Power BI
  • Power BI Premium / Embedded
  • Azure Databricks (PySpark, Spark SQL)
  • Azure Data Lake
  • Azure Data Factory
  • SQL Server
  • Snowflake

Supporting:

  • Python
  • Git (source control)
  • CI/CD deployment pipelines
  • Data modeling and warehousing frameworks

Required SKILLS AND ABILITIES

  • Strong PowerBi experience is required including PowerBI Premium or Embedded
  • Programming: Expert level SQL, PL/SQL, Experienced Python skills (with a strong track record of optimizing complex Power BI models for performance and scalability)
  • Procient in writing advanced / complex SQL, expertise in optimization of SQL queries preferred.
  • Familiarity with the EPC industry required (Engineering or Construction)
  • Experience in troubleshooting and working with various teams in resolving issues / solving complex problems.
  • Proven ability to understand complex business rules and processes and then build integration processes and database views to represent those rules and processes.
  • Preferred experience in secondary tools such as Azure Databricks, Visual studio, Azure Data Factory, etc.
  • Excellent written and strong oral communication skills.
  • Understanding of ETL fundamentals and solutions.
  • Should be procient in writing advanced / complex SQL, expertise in performance tuning and optimization of SQL queries required.
  • Experience in Python/Pyspark and Spark SQL (primary languages used in our solutions).
  • Experience in troubleshooting data issues and analyzing end to end data pipelines.
  • Strong experience developing data analytics and visualizations with transformation and aggregation from multiple formats for analyzing and uncovering insights / intelligence for project teams.
  • Familiar with source control and version control systems
  • Experience in troubleshooting and working with various teams in resolving issues / solving complex problems.
  • Proven ability to understand complex business rules and processes.
  • Experience with creation of technical documentation for Functional Requirements, Scope documents, Technical Design, and Business Process Modeling etc.

Industry Specific Experience:  

  • 8+ years of experience in BI / data analytics

Other Requirements:
    Regular, reliable attendance
    Work productively and meet deadlines timely
    Communicate and interact effectively and professionally with supervisors, employees, and others individually or in a team environment
    Perform work safely and effectively. Understand and follow oral and written instructions, including warning signs, equipment use, and other policies.
    Work during normal operating hours to organize and complete work within given deadlines. Work overtime and weekends as required.
    FIELD ROLES ONLY May work at various different locations and conditions may vary

Base Compensation: $136,000/yr - $142,000/yr

(Actual compensation is subject to variation due to such factors as education, experience, skillset, and/or location)

We offer our fulltime staff employees a comprehensive benefits package that's among the best in our industry, including top-tier medical, dental and vision plans covering eligible employees and dependents, voluntary wellness and employee assistance programs, life insurance, disability, retirement plans with matching, and generous paid time off.

Equal Opportunity Employer, including disability and protected veteran status.

What Kiewit Corporation employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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About Kiewit

Sourced by ZipRecruiter

Kiewit Infrastructure Engineering's Design-Build team is driving clients to turn to Kiewit during all stages of design-build projects. Through our integrated design and construction approach, our multi-disciplinary team works together to improve schedule, control costs and minimize risk. Our construction-focused engineers work collaboratively with our estimators and builders to design solutions that are innovative, constructible, and designed with a focus on safety. Clients benefit from the proven processes and tools used by Kiewit to minimize project risk. We are an in-house resource that supports projects throughout the company. Our staff shares experiences gained, innovative concepts, and best practices for all projects that we support.

Industry

Construction materials wholesalers

Company size

10,000+ Employees

Headquarters location

Omaha, NE, US

Year founded

1884

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