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Data Engineer Jobs in Kansas (NOW HIRING)

UNIFY Financial Credit Union

Data Engineer

Lenexa, KS

$107K - $129K/yr

Data Engineer ID 2991 Type Full-Time Summary CommunityAmerica Federal Credit Union seeks a Data Engineer for Lenexa, Kansas. Duties & Responsibilities Responsibilities: Work with product owners to ...

CommunityAmerica Credit Union

Data Engineer

Lenexa, KS

$106K - $127K/yr

Summary CommunityAmerica Federal Credit Union seeks a Data Engineer for Lenexa, Kansas. Duties & Responsibilities Responsibilities: Work with product owners to understand and translate business ...

CommunityAmerica Credit Union

Data Engineer

Lenexa, KS

$106K - $127K/yr

CommunityAmerica Federal Credit Union seeks a Data Engineer for Lenexa, Kansas. Responsibilities: Work with product owners to understand and translate business requirements into technical ...

CommunityAmerica Credit Union

Data Engineer

Lenexa, KS · On-site

$106K - $127K/yr

Summary CommunityAmerica Federal Credit Union seeks a Data Engineer for Lenexa, Kansas. Duties & Responsibilities Responsibilities: Work with product owners to understand and translate business ...

MHC Kenworth

Data Engineer

Leawood, KS · Hybrid

$111K - $133K/yr

Data Engineer Murphy-Hoffman Company, LLC is North America's largest Kenworth truck Dealership and Leasing group. As MHC continues to grow, we have an opening for a Data Engineer. The Data Engineer ...

Murphy-Hoffman Company

Data Engineer

Leawood, KS · On-site

$111K - $133K/yr

Job Details Job Title Data Engineer Business Function Corporate Branch Name Murphy-Hoffman Company Date 04-07-2026 Address 4501 College Blvd City Leawood State KS Job Overview & Essential Functions ...

Total Performance Consulting

$98K - $118K/yr

About the Role This role supports data engineering execution across complex application development initiatives. You'll work hands-on alongside functional engineering teams, contributing to data ...

Murphy-Hoffman Company

Data Engineer

Leawood, KS · On-site

$111K - $133K/yr

Job Details Job Title Data Engineer Business Function Corporate Branch Name Murphy-Hoffman Company Date 04-07-2026 Address 4501 College Blvd City Leawood State KS

Tyler Technologies, Inc.

Data Engineer

Overland Park, KS · On-site

$113K - $135K/yr

Description The data engineer provides technical data support to cross functional teams who are diagnosing, troubleshooting, computer systems & complex software. Responds to situations where first ...

Propio Language Services

Data Engineer II

Overland Park, KS · On-site

$107K - $129K/yr

The Data Engineer II will play a key role in designing, developing, and maintaining our data infrastructure. This position requires a blend of technical skills, analytical thinking, and the ability ...

Propio

Data Engineer II

Overland Park, KS · On-site

$107K - $129K/yr

The Data Engineer II will play a key role in designing, developing, and maintaining our data infrastructure. This position requires a blend of technical skills, analytical thinking, and the ability ...

Propio

Data Engineer II

Overland Park, KS

$107K - $129K/yr

The Data Engineer II will play a key role in designing, developing, and maintaining our data infrastructure. This position requires a blend of technical skills, analytical thinking, and the ability ...

Bespoke Labs

Data Engineer

Pittsburg, KS

$87K - $105K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...

Bespoke Labs

Data Engineer

Kansas City, KS

$111K - $134K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...

Bespoke Labs

Data Engineer

Overland Park, KS

$113K - $136K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...

Bespoke Labs

Data Engineer

Topeka, KS

$108K - $130K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...

Bespoke Labs

Data Engineer

Wichita, KS

$102K - $123K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...

Syntricate Technologies

Sr Data Engineer

Overland Park, KS · On-site

$108K - $130K/yr

Sr Data Engineer Location: Overland Park, KS (Onsite) Duration: W2 Contract Experience: 7-10+ Years * Experience in data engineering. * Proficiency in Azure Databricks, SQL. * Strong understanding of ...

Sedgwick

Data Engineer AI

Overland Park, KS · On-site +1

$108K - $130K/yr

You are a "day-one" builder who ensures that data is not just moved, but engineered for the specific requirements of model training, feature stores, and RAG-based AI systems. Key Responsibilities • ...

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Showing results 1-20

All JobsData Engineer JobsData Engineer Jobs in Kansas

Data Engineer information

See Kansas salary details

$39.7K

$115.7K

$158.3K

How much do data engineer jobs pay per year?

As of Jun 21, 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 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.

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.

Are data engineers highly paid?

Data engineers are generally well-paid due to their specialized skills in designing and maintaining data infrastructure, with salaries often higher than many other IT roles. Compensation varies based on experience, location, and industry, but strong technical skills in programming, databases, and cloud platforms typically lead to higher earnings.

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 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.

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 does a data engineer actually do?

A data engineer designs, builds, and maintains the infrastructure and pipelines that enable organizations to collect, store, and process large volumes of data. They work with tools like SQL, Python, and cloud platforms to ensure data is accessible, reliable, and ready for analysis by data scientists and analysts.

Is a data engineer entry level?

Data engineering is typically an intermediate to senior role that requires experience with programming, databases, and data pipeline tools. Entry-level data engineering positions may be available for candidates with relevant internships or strong foundational skills in SQL, Python, or cloud platforms, but most roles expect some prior experience. Certifications or coursework in data management can also be beneficial for those starting out.

What engineer makes $500,000 a year?

Senior data engineers with extensive experience, advanced skills in big data tools, and leadership roles can earn salaries approaching or exceeding $500,000 annually, especially in high-cost-of-living areas or large tech companies. Such compensation often includes base salary, bonuses, and stock options. Achieving this level typically requires years of expertise and a strong track record in data architecture and engineering.
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
Infographic showing various Data Engineer job openings in Kansas as of June 2026, with employment types broken down into 96% Full Time, 1% Part Time, and 3% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $115,687 per year, or $55.6 per hour.

Data Engineer

People, Data & Solutions

Overland Park, KS

$120/hr

Other

Posted 4 days ago

Job description

The Data Engineer is a key contributor in advancing the firm's data strategy and analytics ecosystem, transforming raw data into actionable insights that drive business decisions. This role requires a technically strong, curious professional committed to continuous learning and innovation. The ideal candidate combines analytical acumen with data engineering skills to ensure reliable, efficient, and scalable data pipelines and reporting solutions.
ESSENTIAL DUTIES AND RESPONSIBILITIES

  • Data Engineering & Integration
  • Design, build, and maintain data pipelines and integrations using Azure Data Factory, SSIS, or equivalent ETL/ELT tools.
  • Automate data imports, transformations, and loads from multiple sources (on-premise, SaaS, APIs, and cloud).
  • Optimize and monitor data workflows for reliability, performance, and cost efficiency.
  • Implement and maintain data quality, validation, and error-handling frameworks.
  • Data Analysis & Reporting
  • Develop and maintain reporting databases, views, and semantic models for business intelligence solutions.
  • Design and publish dashboards and visualizations in Power BI and SSRS, ensuring alignment with business KPIs.
  • Perform ad-hoc data exploration and statistical analysis to support business initiatives.
  • Collaboration & Governance
  • Partner with stakeholders across marketing, underwriting, operations, and IT to define analytical and data integration requirements.
  • Maintain data integrity, enforce governance standards, and promote best practices in data stewardship.
  • Support data security and compliance initiatives in coordination with IT and business teams.
  • Continuous Improvement
  • Stay current with emerging data technologies and analytics practices.
  • Recommend tools, processes, or automation improvements to enhance data accessibility and insight delivery.

QUALIFICATIONS
Required:
  • Strong SQL development skills and experience with Microsoft SQL Server and Azure SQL Database.
  • Hands-on experience with data import, transformation, and integration using Azure Data Factory, SSIS, or similar tools.
  • Proficiency in building BI solutions using Power BI and/or SSRS.
  • Strong data modeling and relational database design skills.
  • Proficiency in Microsoft Excel (advanced formulas, pivot tables, external data connections).
  • Ability to translate business goals into data requirements and technical solutions.
  • Excellent communication and collaboration skills.
  • Bachelor's degree in Computer Science, Information Systems, or a related field (or equivalent experience).

Preferred:
  • Experience with cloud-based data platforms (Azure Data Lake, Synapse Analytics, Databricks).
  • Familiarity with version control tools (Git, Azure DevOps) and Agile development practices.
  • Exposure to Python or PowerShell for data transformation or automation.
  • Experience integrating data from insurance or financial systems.

Compensation: $120-129K
This position is 3 days onsite/hybrid located in Overland Park, KS
We look forward to reviewing your application. We encourage everyone to apply - even if every box isn't checked for what you are looking for or what is required.
PDSINC, LLC is an Equal Opportunity Employer.

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