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Data Software Engineer Jobs in Manhattan, KS (NOW HIRING)

Performs plan drafting using CAD software. * May work with engineering technician crews in testing, observations and data gathering activities on project sites and prepare daily reports documenting ...

Performs plan drafting using CAD software. * May work with engineering technician crews in testing, observations and data gathering activities on project sites and prepare daily reports documenting ...

May research and recommend network and data communications hardware and software. Position Description: * Establishes networking environment by designing system configuration; directing system ...

May research and recommend network and data communications hardware and software. Position Description: * Establishes networking environment by designing system configuration; directing system ...

Able to use basic computer software such as Word, Excel, and Outlook. * Use of computer based ... Pioneering engineered materials for more than 130 years, Michelin is uniquely positioned to make ...

New

Kids Club Attendant

Manhattan, KS · On-site

$10.50 - $13.50/hr

My communication and that of my Team is clear, data based and without drama, using Safe Space in ... I am competent in regards to all Youth Programing and seek clarity when needed. I actively promote ...

Kids Club Attendant

Manhattan, KS · On-site

$10.50 - $13.50/hr

My communication and that of my Team is clear, data based and without drama, using Safe Space in ... I am competent in regards to all Youth Programing and seek clarity when needed. I actively promote ...

Enter results into software program and communicate results utilizing service reports * Assist in ... Engineering or technical degree preferred * 3-5 years of experience in water treatment, chemical or ...

Data Software Engineer information

See Manhattan, KS salary details

$39.4K

$114.9K

$157.2K

How much do data software engineer jobs pay per year?

As of Jul 27, 2026, the average yearly pay for data software engineer in Manhattan, KS is $114,853.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,400.00 and $121,700.00 per year, depending on experience, location, and employer.

What engineers make $300,000 a year?

Senior software engineers, data engineers, and machine learning engineers with extensive experience, specialized skills, and often working in high-demand industries or companies can earn $300,000 or more annually. Achieving this level typically requires advanced technical expertise, certifications, and sometimes leadership responsibilities or stock options.

What engineers make $500,000?

Senior software engineers, especially those working in high-demand areas like technology, finance, or specialized fields such as machine learning or cybersecurity, can earn $500,000 or more annually. Achieving this level often requires extensive experience, advanced skills, and sometimes stock options or bonuses in addition to base salary.

What does a software data engineer do?

A software data engineer designs, builds, and maintains data pipelines and infrastructure to collect, process, and store large volumes of data. They work with tools like SQL, Python, and cloud platforms to ensure data is accessible and reliable for analysis and decision-making. Strong programming skills and knowledge of database systems are essential for this role.

What are Data Software Engineers?

Data Software Engineers are professionals who design, build, and maintain the software systems that enable organizations to collect, process, and analyze large volumes of data. They bridge the gap between data engineering and software development by creating scalable, efficient pipelines and applications that support data-driven decision making. Their responsibilities often include developing data processing frameworks, ensuring data quality, and collaborating with data scientists and analysts to deliver actionable insights.

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

To thrive as a Data Software Engineer, you need strong programming skills (often in Python, Java, or Scala), a solid understanding of data structures and algorithms, and a background in computer science or a related field. Familiarity with big data frameworks (like Hadoop or Spark), database systems (SQL/NoSQL), and data pipeline tools is typically required, along with relevant certifications such as AWS Certified Data Analytics. Excellent problem-solving abilities, collaboration, and effective communication are soft skills that set top performers apart. These skills ensure the efficient design, development, and optimization of robust data systems critical for driving business insights and decision-making.

What is the difference between Data Software Engineer vs Data Engineer?

AspectData Software EngineerData Engineer
Primary FocusDeveloping software tools and applications for data processing and analysisBuilding and maintaining data pipelines and infrastructure
Skills & CertificationsProgramming, software development, data modeling, often with certifications in software engineeringDatabase systems, ETL tools, cloud platforms, often with certifications in data engineering
Work EnvironmentSoftware development teams, data science teams, often in tech companiesData infrastructure teams, IT departments, cloud service providers

While both roles work with data, Data Software Engineers focus on creating software solutions for data analysis, whereas Data Engineers build the infrastructure to collect, store, and process data efficiently. Both roles require programming skills and often overlap, but their core responsibilities differ in scope and focus.

What are some common challenges Data Software Engineers face when working with large datasets?

Data Software Engineers often encounter challenges related to scalability, data quality, and system performance when handling large datasets. Ensuring that data pipelines can efficiently process high volumes of data without bottlenecks requires robust architecture and frequent optimization. Additionally, maintaining data integrity and consistency across distributed systems can be complex, especially when integrating data from multiple sources. Collaboration with data scientists, analysts, and DevOps teams is key to overcoming these challenges and building reliable, efficient data solutions.

Is AI replacing data engineers?

AI is automating certain tasks within data engineering, such as data cleaning and pipeline management, but it does not replace the need for data engineers. Data engineers are essential for designing, building, and maintaining complex data systems, and their skills in programming, database management, and system architecture remain in high demand. AI tools serve as complements that enhance efficiency rather than substitutes for the core responsibilities of data engineers.
What are popular job titles related to Data Software Engineer jobs in Manhattan, KS? For Data Software Engineer jobs in Manhattan, KS, the most frequently searched job titles are:
Infographic showing various Data Software Engineer job openings in Manhattan, KS as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $114,853 per year, or $55.2 per hour.
Research Data Analyst

Research Data Analyst

Kansas State University

Manhattan, KS • On-site

$25.76/hr

Other

Posted 8 days ago


Job description

About This Role

This position will support research activities in power systems. It will assist with software development, simulation setup, data processing, code testing, benchmarking, documentation, and preparation of research deliverables under supervision. Support research projects in artificial intelligence applications for power systems through data analytics, large language model (LLM) development, data engineering, and software prototyping. The position provides hands-on experience in applying AI technologies to energy systems research while supporting the development of research tools and workflows.

About Us

The Mike Wiegers Department of Electrical and Computer Engineering, as one of the eight departments within the Carl R. Ice College of Engineering, has 19 faculty members and approximately 500 undergraduate and graduate students. The department is located in the new Engineering Hall equipped with the state-of-the-art research laboratories, classrooms, and office spaces. The department has strong research programs in power systems, power electronics, wireless communications, network engineering, and biomedical engineering. More information may be found at http://ece.k-state.edu/.
The Carl R. Ice College of Engineering is committed to driving innovation through quality education in academic and applied learning experiences to prepare the next generation of technological leaders. As a premier institution, our mission is to educate and empower our students to address the challengers of a rapidly changing world. It is the most comprehensive engineering college in Kansas, with over 3100 undergraduate and graduate students.
Kansas State University, with its enrollment of approximately 20,000 students, is designated a Carnegie R1 (Very High Research Activity) Institution. The College of Engineering is located on the main KSU campus in Manhattan, KS. Manhattan is a family-friendly and safe community of 50,000 nestled in the scenic Flint Hills of Northeast Kansas. Manhattan offers affordable housing, outstanding schools, excellent parks and recreational facilities, an engaging cultural environment, and short commute times.

Worksite Description

This position is On-site.

All employees must reside in the United States when they begin working to comply with state law. K-State is unable to provide remote or hybrid work opportunities for residents of the state of Idaho.

What You'll Need to Succeed

Minimum Qualifications:

  • Requires a bachelor's degree and three years of relevant experience. Education beyond the minimum degree requirement may count toward required experience if deemed relevant by the hiring manager. The degree requirement ensures candidates possess the quantitative expertise, statistical methodologies and technical proficiency necessary to manage complex datasets, perform advanced analyses and generate insights that inform organizational strategies and external reporting. These competencies are typically developed and rigorously validated only through the comprehensive curriculum and intensive experiential experience inherent in a formal degree program.

Preferred Qualifications:

  • Bachelor's degree in Management Information Systems, Computer Science, Data Science, Information Technology, or a related field.
  • Experience with Python programming.
  • Experience with SQL and data analysis.
  • Strong written and verbal communication skills.
  • Ability to work independently and collaboratively.
  • Experience with large language models (LLMs) or generative AI tools.
  • Experience with Pandas, Power BI, Tableau, or other data visualization tools.
  • Experience with Git or collaborative software development.
  • Interest in artificial intelligence, cybersecurity, or power systems.
  • Experience developing AI-assisted applications or workflow automation.

Additional Role Information:

Sponsorship eligibility:

Candidates must be legally authorized to work in the U.S. on an ongoing basis without sponsorship.

How to Apply

Please submit the following documents:

  • Resume
Application Window

Applications close on: July 30, 2026

Anticipated Hiring Pay Range

$25.76 per hour