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Data Engineer Jobs in Kansas (NOW HIRING)

Senior Data Software Engineer

Kansas, KS ยท On-site +1

$108K - $142K/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 ...

The Manager - Data Engineering leads a team responsible for designing, building, and operating trusted, scalable data products that enable reporting, analytics, AI, and operational use cases. This ...

The Manager - Data Engineering leads a team responsible for designing, building, and operating trusted, scalable data products that enable reporting, analytics, AI, and operational use cases. This ...

Textron is a global leader in aviation, and they are seeking a Manager - Data Engineering to lead a team responsible for designing and operating scalable data products. This role focuses on building ...

The Manager - Data Engineering leads a team responsible for designing, building, and operating trusted, scalable data products that enable reporting, analytics, AI, and operational use cases. This ...

The Data Programmer role involves working with large datasets to analyze, plan, and execute complex processing workflows, focusing on creating end-to-end solutions for data transformations and large ...

Data & AI Engineer

Kansas City, KS ยท On-site

$104K - $125K/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 ...

Data & AI Engineer

Lawrence, KS ยท On-site

$104K - $125K/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 ...

Data & AI Engineer

Lawrence, KS

$108K - $129K/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 ...

You will partner closely with the AI Applications Engineer, Data Engineering, BI, and business stakeholders to turn ambiguous business problems into reliable, secure, measurable solutions. You will ...

Data Programmer

Topeka, KS ยท 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 ...

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 ...

Lead AI Engineer

Kansas City, KS ยท On-site

$98K - $130K/yr

Title: Lead Data Engineer (with AI. ML, Python, Java, Kafka) Location: Leawood, KS Description * Led App Development teams and are aware of working with distributed systems * Are well aware of ...

How you will make an Impact (Job Summary) The Data Center Solutions Engineer is the HVAC segment's technical and applications authority for the data center market, responsible for driving early ...

Ability to create working environments for data engineers and scientists, and general knowledge of ML, AI, LLMs, and MLOps * Knowledge and familiarity with Microsoft Purview * DevOps for data, GitHub ...

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Showing results 1-20

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 14, 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.
What are the most commonly searched types of Data Engineer jobs in Kansas? The most popular types of Data Engineer jobs in Kansas are:
What are popular job titles related to Data Engineer jobs in Kansas? For Data Engineer jobs in Kansas, the most frequently searched job titles are:
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:
What are popular job titles related to Data Engineer jobs in KS? For Data Engineer jobs in KS, the most frequently searched job titles are:
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.
Senior Data Software Engineer

Senior Data Software Engineer

NinjaOne

Kansas, KS โ€ข On-site, Remote

$108K - $142K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 25 days ago


Job description

About the Role

At NinjaOne, weโ€™re looking for a skilled Senior Data Engineer to join our team and help drive the future of our data infrastructure. Youโ€™ll play a critical role in building, maintaining, and scaling our systems to ensure smooth data flow, accuracy, and security across the organization. This is an exciting opportunity to work on innovative projects, collaborate with cross-functional teams, and help shape how we leverage data to fuel growth, optimize products, and drive business decisions.

Location - We are flexible on remote working from home, if you are located in the USA and reside in one of the following states - CA, CO, CT, FL, GA, *IL, KS, MA, MD, ME, NJ, NC, NY, OR, TN, TX, VA, and WA. We have physical offices in Austin, TX and Tampa, FL, if you prefer a hybrid option.

ย 

We hire the best software engineers, but experience in our stack canโ€™t hurt: NinjaOne is built onย Java, Kotlin, C++, Golang and Postgres; supporting millions of user endpoints and running as a scalable cloud service in AWS.ย  Knowing large-scale datastore bottlenecks, asynchronous application design and client-server architecture will help you.

What Youโ€™ll be Doing

  • Data Pipeline Development: Design and implement scalable data pipelines that move and transform large volumes of data from multiple sources to central data warehouses, transforming data to enable business reporting and advanced analytics.
  • Database Management: Manage and optimize the performance of relational databases, ensuring data availability, reliability, and consistency.
  • Automation & Optimization: Automate and optimize data workflows to reduce manual processes and improve efficiency in data collection, storage, and processing.
  • Monitoring & Maintenance: Ensure the integrity and security of data across systems, monitor performance, and troubleshoot any issues that arise within the data pipeline.
  • Data Visualization: Build dashboards and reports in Tableau and Databricks to expose key data points and trends to business stakeholders.
  • Collaboration: Work closely with data scientists, analysts, and other teams to gather requirements, understand data needs, and provide solutions that support data-driven decision-making.
  • Other duties as needed.

About You

  • Bachelorโ€™s degree in Computer Science, Computer Engineering, Information Technology or equivalent work experience preferred.โ€ฏย 
  • 10+ years of experience in software development, with a strong focus on data engineering and data science.
  • Experience in building data pipelines and managing large-scale data systems using technologies like SQL and Python.
  • Expertise in Python.ย ย 
  • Experience in cloud platforms like AWS, GCP, or Azure, and experience with tools like Airflow, Kafka or dbt for orchestrating data workflows.
  • Mastery with both relational databases including MySQL, PostgreSQL and NoSQL databases like MongoDB, Cassandra.
  • Experience with data warehousing concepts and tools such as Redshift, BigQuery, Snowflake.
  • Solid understanding of Microservices Architecture and DevOps principles.
  • Experience that will make you a standout candidate:ย 
    o ย  ย Previous experience working with large-scale data pipelines and machine learning models.ย 
    o ย  ย Understanding of Generative AI and Deep Learning frameworks.

About Usย 

NinjaOne automates the hardest parts of IT to deliver visibility, security, and control over all endpoints for more than 30,000 customers. The NinjaOne automated endpoint management platform is proven to increase productivity, reduce security risk, and lower costs for IT teams and managed service providers. NinjaOne is obsessed with customer success and provides free and unlimited onboarding, training, and support. NinjaOne is #1 on G2 in endpoint management, patch management, remote monitoring and management, and mobile device management.

What Youโ€™ll Loveย 

We are a collaborative, kind, and curious community.ย 

We honor your flexibility needs with full-time work that is hybrid remote.

We have you covered with our comprehensive benefits package, which includes medical, dental, and vision insurance.

We help you prepare for your financial future with our 401(k) plan.

We prioritize your work-life balance with our unlimited PTO.

We reward your work with opportunity for growth and advancement.

Additional Information

This position isย NOTย eligible for Visa sponsorship. Due to federal government security requirements associated with our FedRAMP-authorized environment, candidates must be U.S. citizens or lawful permanent residents.

*Due to operational policies, NinjaOne is unable to hire for this role within the city limits of Chicago. We will consider all qualified candidates who reside outside of the city proper or are willing to self-relocate.

Starting pay for the successful applicant depends on a variety of job-related factors, including but not limited to location, market demands, experience, job-related knowledge, and skills. The benefits available for this position include medical, dental, vision, 401(k) plan, life insurance coverage and PTO.ย  For roles based in California, Colorado, Maryland, New Jersey, or Washington the base salary hiring range for this position isย $110,000 to $200,000 per year.

For roles based in New York, the base salary hiring range for this position is $110,000 to $200,000 per year.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, genetic information, marital status, veteran status, or any other status protected by applicable law. We are committed to providing an inclusive and diverse work environment.

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