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Data Analytics Engineer Jobs in Kansas (NOW HIRING)

The Atlas Group

IT Analyst Developer

Wichita, KS · On-site

Design system integrations between factory systems, ERP platforms, and data analytics tools. Write, test, and deploy code using appropriate programming languages (e.g., X++, C#, .NET, Python, SQL ...

TEKsystems

Tableau Data Analyst

Salina, KS · Remote

$55 - $60/hr

... Engineers to ensure data pipelines and datasets support scalable analytics Validate data across multiple sources to ensure accuracy, consistency, and reliability Identify data quality issues and work ...

AAA USA Inc

Structural Analysis Engineer

Wichita, KS · On-site

The Structural Analysis Engineer is responsible for analyzing, designing, and validating the ... data * Demonstrated experience effectively communicating within a team environment * Working ...

NeuAnalytics

Data Specialist

Overland Park, KS · On-site

Experience in data analytics, programming, or database management * Demonstrate strong analytical skills with an emphasis on data analysis * Demonstrates proven IT knowledge of business analysis ...

NeuAnalytics

Data Specialist

Overland Park, KS

Experience in data analytics, programming, or database management * Demonstrate strong analytical skills with an emphasis on data analysis * Demonstrates proven IT knowledge of business analysis ...

Murphy-Hoffman Company

Data Engineer

Leawood, KS · On-site

$111.40K - $133.80K/yr

The data engineer works with the data architect and business analysts on source-to-target mappings to populate a data warehouse and writes code to transform the data and load it into the target data ...

Murphy-Hoffman Company

Data Engineer

Leawood, KS · On-site

$111.40K - $133.80K/yr

The data engineer works with the data architect and business analysts on source-to-target mappings to populate a data warehouse and writes code to transform the data and load it into the target data ...

Koch

Data Engineer

Wichita, KS · On-site

$102.40K - $123K/yr

... analysts -- to understand their processes, validate business logic, and ensure your data models ... part of your engineering workflow (Claude Code, Snowflake Cortex, and others) to accelerate ...

CommunityAmerica Credit Union

Data Engineer

Lenexa, KS

$106.50K - $127.90K/yr

Solving business problems through using data and creating analytical solutions. * Position also requires the following: * Strong demonstrated programming skills in python and SQL for data processing ...

CommunityAmerica Credit Union

Data Engineer

Lenexa, KS

$106.50K - $127.90K/yr

Solving business problems through using data and creating analytical solutions. * Position also requires the following: * Strong demonstrated programming skills in python and SQL for data processing ...

CommunityAmerica Credit Union

Data Engineer

Lenexa, KS · On-site

$104.40K - $125.30K/yr

... analytical solutions. • Strong demonstrated programming skills in python and SQL for data processing and automation. • Demonstrated skills in Visual Studio with the use of source control ...

Tyler Technologies, Inc.

Data Engineer

Overland Park, KS

$113.10K - $135.90K/yr

Description The data engineer provides technical data support to cross functional teams who are ... Research and analyze platform issues working cross-functionally across Tyler teams and customers to ...

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All JobsData Analytics Engineer JobsData Analytics Engineer Jobs in Kansas

Data Analytics Engineer information

See Kansas salary details

$39.7K

$115.7K

$158.3K

How much do data analytics engineer jobs pay per year?

As of May 30, 2026, the average yearly pay for data analytics 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 are the key skills and qualifications needed to thrive as a Data Analytics Engineer, and why are they important?

To thrive as a Data Analytics Engineer, you need strong proficiency in data modeling, SQL, and statistical analysis, typically supported by a degree in computer science, statistics, or a related field. Familiarity with tools such as Python, R, Apache Spark, Tableau, and cloud data platforms like AWS or Google BigQuery is essential, along with relevant certifications. Excellent problem-solving, communication, and collaboration skills help you translate data insights into actionable business solutions. These skills and qualities are crucial for designing robust data pipelines and enabling data-driven decision-making across organizations.

How do Data Analytics Engineers typically collaborate with data scientists and business stakeholders on projects?

Data Analytics Engineers play a crucial role in bridging the gap between raw data and actionable insights by building, optimizing, and maintaining data pipelines. They often work closely with data scientists to ensure data is clean, accessible, and structured for advanced analytics or machine learning models. Additionally, they collaborate with business stakeholders to understand reporting requirements and ensure that data solutions align with organizational objectives. Regular communication and cross-functional teamwork are essential aspects of this role, as engineers must translate business needs into technical specifications and deliver reliable data products.

What does a Data Analytics Engineer do?

A Data Analytics Engineer designs, builds, and maintains the systems and infrastructure needed to collect, store, and analyze large sets of data. They work closely with data scientists, analysts, and business stakeholders to ensure data is accessible, reliable, and organized for analysis. Their responsibilities typically include building data pipelines, optimizing database performance, and ensuring data quality and security. Data Analytics Engineers play a crucial role in transforming raw data into actionable insights that drive business decisions.

What is the difference between Data Analytics Engineer vs Data Scientist?

AspectData Analytics EngineerData Scientist
CredentialsBachelor's or master's in CS, Data Science, or related fields; certifications like Google Data AnalyticsBachelor's or master's in CS, Statistics, or related fields; certifications like Certified Data Scientist
Work EnvironmentFocus on building data pipelines, dashboards, and analytics toolsFocus on statistical modeling, machine learning, and data exploration
Employer & Industry UsageUsed across tech, finance, healthcare for data infrastructure and analyticsCommon in research, product development, and advanced analytics teams

While both roles work with data, Data Analytics Engineers primarily develop data infrastructure and tools for analysis, whereas Data Scientists focus on statistical modeling and machine learning to generate insights. They often collaborate but have distinct technical focuses.

What are the most commonly searched types of Data Analytics Engineer jobs in Kansas? The most popular types of Data Analytics Engineer jobs in Kansas are:
What are popular job titles related to Data Analytics Engineer jobs in Kansas? For Data Analytics Engineer jobs in Kansas, the most frequently searched job titles are:
What job categories do people searching Data Analytics Engineer jobs in Kansas look for? The top searched job categories for Data Analytics Engineer jobs in Kansas are:
What cities in Kansas are hiring for Data Analytics Engineer jobs? Cities in Kansas with the most Data Analytics Engineer job openings:
Data Analytics Engineer jobs near you

IT Analyst Developer

The Atlas Group

Wichita, KS • On-site

Full-time

Posted 12 days ago

Job description

Overview

The IT Analyst Developer plays a key role in designing, developing, and maintaining technology solutions that support manufacturing operations, production systems, and enterprise applications. This role involves working closely with production, engineering, and business teams to ensure seamless integration between shop-floor systems, ERP platforms, and corporate IT systems.

Responsibilities

Operational Leadership:

Ability to lead without authority and foster a teamwork environment

Develop, customize, and maintain applications that support production tracking, quality control, inventory management, and reporting.

Develop, customize, and maintain applications that support production tracking, quality control, inventory management, and reporting.

Design system integrations between factory systems, ERP platforms, and data analytics tools.

Write, test, and deploy code using appropriate programming languages (e.g., X++, C#, .NET, Python, SQL, Java).

Implement and maintain APIs and automation scripts for data exchange between systems.

Integrate applications with third-party systems, APIs, and databases.

Conduct unit testing, system testing, and integration testing to ensure application quality.

Support user acceptance testing (UAT) and troubleshoot issues as they arise.

Ensure compliance with data protection standards.

Provide ongoing technical support for developed systems and applications.

Monitor application performance and implement improvements or patches.

Participate in after-hours support rotation if required for critical production systems.

Consistently acts in accordance with business professionalism principles including during business hours, at company events, meetings, off-site meetings, audits, etc.

Consistently provides professional business communications to internal and external customers, staff, peers and company leadership.

Continuous Improvement:

Participate in or lead IT-related projects in the manufacturing domain (e.g., MES upgrades, ERP enhancements, system migrations).

Contribute to Lean Manufacturing and Industry 4.0 initiatives by leveraging automation, IoT, and data analytics technologies.

Recommend new technologies and practices to improve system efficiency, scalability, and security.

Qualifications

Knowledge, Skills and Other Abilities:

Analytical thinking and detail orientation

Business process understanding within manufacturing environments

Technical innovation and adaptability

Excellent communication and documentation abilities.

Ability to manage multiple projects and priorities effectively.

Demonstrated ability to develop and maintain effective working relationships

Strong ability to set priorities, solve problems, and be resourceful when under pressure

Comfort and experience interfacing with various levels of staff and management while working in a fast-paced environment

Must demonstrate a sense of urgency and dedication to supporting customer requirements

 

Preferred Education/Experience:

Bachelor's degree in computer science, Information Technology, Software Engineering, or a related field (or equivalent experience).

3-5+ years of experience in software development or IT systems analysis.\ preferably in a manufacturing environment.

Has assisted in migration to new ERP system, cloud environment.

Previous experience in production environment required

MRP or ERP system experience AX2009/AX2012 highly preferred

Microsoft SQL Server/SSRS, Power BI

Aviation background preferred

Physical Demands:

The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job.  Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions.

The employee is occasionally required to stand, walk, reach with hands and arms, climb stairs or balance, and stoop, kneel, crouch or crawl. The employee must occasionally lift and/or move up to 50 pounds.

Employment Type: FULL_TIME

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