ZipRecruiter

Log In

1

Data Mining Jobs in Kansas (NOW HIRING)

AllSTEM Connections

Data Architect

Topeka, KS · On-site

$73K - $95K/yr

At least 5 years of hands-on experience specifically in data architecting, large-scale data modeling, data mining, and business requirements analysis. Equal Opportunity Employer / Disabled ...

Velocity Staff

Senior Data Engineer

Overland Park, KS

$104K - $142K/yr

This role requires significant understanding of data mining and analytical techniques. An ideal candidate will have strong technical capabilities, business acumen, and the ability to work effectively ...

Velocity Staff

Senior Data Engineer

Overland Park, KS · On-site

$104K - $142K/yr

This role requires significant understanding of data mining and analytical techniques. An ideal candidate will have strong technical capabilities, business acumen, and the ability to work effectively ...

Nuvative Inc

Data Scientist

Wichita, KS · On-site

Background in data mining, machine learning, statistical analysis, and modeling. * Strong SQL abilities and experience with massive relational database systems. * Programming skills in R or Python ...

Garmin

Senior C# Software Engineer - Map Data

Olathe, KS · On-site

$115K - $152K/yr

... data mining techniques to derive insights or features from large datasets • Previous experience in the cycling, running, outdoor adventure or automotive industries • Outstanding academics ...

next page

Showing results 1-20

All JobsData Mining JobsData Mining Jobs in Kansas

Data Mining information

See Kansas salary details

$45.5K

$62.4K

$79.4K

How much do data mining jobs pay per year?

As of Aug 3, 2026, the average yearly pay for data mining in Kansas is $62,429.00, according to ZipRecruiter salary data. Most workers in this role earn between $49,100.00 and $75,800.00 per year, depending on experience, location, and employer.

What does a data miner do?

A data miner analyzes large datasets to identify patterns, trends, and useful information that can support decision-making. They use tools like SQL, Python, or specialized software to extract and interpret data, often working in environments that require strong analytical and technical skills. Data mining is essential in fields like marketing, finance, and healthcare for uncovering insights and improving strategies.

Is data mining a good career?

Data mining is a viable career that involves analyzing large datasets to extract useful information, often requiring skills in statistics, programming, and data analysis tools like SQL and Python. It is in demand across industries such as finance, healthcare, and marketing, with opportunities for growth and specialization. Success in this field typically requires continuous learning and relevant certifications.

What are some common challenges faced by professionals in Data Mining roles?

Data Mining professionals often encounter challenges such as handling large and complex datasets, ensuring data quality, and selecting the most appropriate algorithms for specific business problems. Managing diverse data sources and cleaning data to prepare it for analysis can be time-consuming and requires careful attention to detail. Collaboration with business analysts, IT staff, and subject matter experts is frequent, as understanding the business context is essential for meaningful results. Overcoming these challenges is key to delivering accurate insights and supporting strategic decisions within an organization.

What is a Data Mining job?

A Data Mining job involves extracting useful patterns, trends, and insights from large datasets using statistical, machine learning, and analytical techniques. Professionals in this field work with structured and unstructured data to help businesses make data-driven decisions. Common tasks include data preprocessing, feature selection, algorithm development, and result interpretation. They often use tools like Python, R, SQL, and data visualization software to analyze data effectively.

Is 40 too late for data science?

Data mining is a key skill in data science, and professionals can enter the field at any age. Success depends on acquiring relevant skills such as programming, statistics, and tools like SQL or Python, regardless of age, making 40 not too late to start a career in data science.

What are the key skills and qualifications needed to thrive in the Data Mining position, and why are they important?

To thrive in Data Mining, a strong background in statistics, mathematics, computer science, and data analysis is usually required, often supported by a related degree or equivalent experience. Familiarity with tools such as Python, R, SQL, and data mining platforms like Weka or RapidMiner, as well as certifications in data analytics, are highly beneficial. Strong problem-solving abilities, analytical thinking, and effective communication skills help professionals interpret complex data and share actionable insights with stakeholders. These competencies are crucial for extracting valuable information from large datasets and driving data-informed decision-making within organizations.

What are the most commonly searched types of Data Mining jobs in Kansas? The most popular types of Data Mining jobs in Kansas are:
What are popular job titles related to Data Mining jobs in Kansas? For Data Mining jobs in Kansas, the most frequently searched job titles are:
What job categories do people searching Data Mining jobs in Kansas look for? The top searched job categories for Data Mining jobs in Kansas are:
What cities in Kansas are hiring for Data Mining jobs? Cities in Kansas with the most Data Mining job openings:
Data Mining jobs near you
Infographic showing various Data Mining job openings in Kansas as of July 2026, with employment types broken down into 1% As Needed, 79% Full Time, 15% Part Time, 1% Temporary, and 4% Contract. Highlights an 89% Physical, 2% Hybrid, and 9% Remote job distribution, with an average salary of $62,429 per year, or $30 per hour.

Data Engineer

Murphy-Hoffman Company (MHC Kenworth)

Leawood, KS • On-site

$111K - $133K/yr

Full-time

Re-posted 21 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.

Apply