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Full Time Data Engineer Jobs in Kansas (NOW HIRING)

Overview We are seeking a full-time Data Scientist 2 at Garmin's U.S. headquarters in the Greater ... Bachelor's Degree in Computer Science, Electrical Engineering, Computer Engineering, Software ...

The Staff Data Engineer is responsible for designing, building, and maintaining scalable data ... Here are some of the exciting benefits full-time teammates are eligible to receive at WellSky:

The Staff Data Engineer is responsible for designing, building, and maintaining scalable data ... Here are some of the exciting benefits full-time teammates are eligible to receive at WellSky:

The Staff Data Engineer is responsible for designing, building, and maintaining scalable data ... Here are some of the exciting benefits full-time teammates are eligible to receive at WellSky:

Senior Data Engineer

Overland Park, KS · On-site

$103K - $140K/yr

Intrepid Direct Insurance is looking for an experienced Senior Data Engineer to mentor, orchestrate ... It is a full-time, in-office role. We do not accept unsolicited resumes from third party recruiting ...

Sr. Data Engineer

Overland Park, KS · On-site

$113K - $135K/yr

The Data Engineer is responsible for designing, building, and maintaining scalable data pipelines ... Here are some of the exciting benefits full-time teammates are eligible to receive at WellSky:

The Data Engineer is responsible for designing, building, and maintaining scalable data pipelines ... Here are some of the exciting benefits full-time teammates are eligible to receive at WellSky:

Senior Data Engineer

Olathe, KS · On-site

$100K - $136K/yr

Overview We are seeking a full-time Senior Data Engineer at Garmin's U.S. headquarters in the Greater Kansas City area. In this role, you will be responsible for leading administration of technology ...

Senior Data Engineer | Emerging Products

Kansas, KS · On-site +1

$93K - $127K/yr

About the Role At NinjaOne, we're looking for a skilled Senior Data Engineer to join our Emerging ... We honor your flexibility needs with full-time work that is hybrid remote. * We have you covered ...

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Showing results 1-20

Full Time Data Engineer information

What is the difference between Full Time Data Engineer vs Data Analyst?

AspectFull Time Data EngineerData Analyst
Required CredentialsBachelor's in CS, IT, or related; often certifications in cloud or data toolsBachelor's in Statistics, Math, or related; sometimes certifications in analytics tools
Work EnvironmentTech teams, data infrastructure projects, cloud platformsBusiness units, reporting, data visualization tasks
Employer & Industry UsageTech companies, finance, healthcare, e-commerceMarketing, finance, retail, consulting
Common Search & Comparison IntentUnderstanding roles, skills, and career pathsJob responsibilities, tools, and skills needed

Full Time Data Engineers focus on building and maintaining data infrastructure, pipelines, and systems, often requiring programming and cloud skills. Data Analysts interpret data, create reports, and visualize insights, typically using analytics tools. Both roles are essential in data-driven organizations but differ in technical depth and focus areas.

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 Full Time Data Engineer jobs in Kansas? For Full Time Data Engineer jobs in Kansas, the most frequently searched job titles are:
What job categories do people searching Full Time Data Engineer jobs in Kansas look for? The top searched job categories for Full Time Data Engineer jobs in Kansas are:
Infographic showing various Full Time Data Engineer job openings in Kansas as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Full-time

Posted 18 days ago


Garmin rating

8.8

Company rating: 8.8 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

14th of 156 rated electronics manufacturers


Job description

Overview
We are seeking a full-time Data Scientist 2 at Garmin's U.S. headquarters in the Greater Kansas City area. In this role, you will be responsible for analyzing complex data sets, developing machine learning models, and collaborating with cross-functional teams to provide actionable insights and AI solutions. In addition, under guidance or with minimal supervision, this role will apply machine learning, statistical analysis, and data engineering techniques to address challenging business problems.
Essential Functions
  • Under guidance or with minimal supervision, lead the collection, cleaning, and preprocessing of large datasets from diverse sources
  • Conduct advanced exploratory data analysis (EDA) to identify trends, patterns, and anomalies that inform modeling efforts
  • Design, implement, and refine predictive models using machine learning and statistical methodologies
  • Collaborate with cross-functional teams to translate data-driven insights into product and strategy recommendations
  • Design and deploy data pipelines for annotation, training and evaluation, and automate workflows to enhance efficiency
  • Explore, evaluate, and experiment with emerging data science techniques, algorithms, and tools to improve model performance
  • Support integration of models into production systems by coordinating with functional and technical teams and monitoring performance post-deployment
  • Assist in developing and maintaining processes and tools to ensure model performance, reliability, and data quality
  • Create and present compelling data visualizations and reports using advanced graphics and visualization tools
  • Identify and leverage both internal and external datasets to drive innovation and support business solutions
  • Contribute to the development of custom machine learning models and algorithms across diverse datasets
  • Apply predictive modeling to improve user experiences, support revenue growth, and enable data-driven insights
  • Support the definition of project scope and business expectations based on data-driven insights
  • Provide mentorship and share best practices with junior team members under the guidance of senior staff
  • Participate in peer reviews and contribute to the continuous improvement of team processes
  • Demonstrate a commitment to ongoing learning of new technologies, frameworks, and methodologies
  • Ensure data quality, adherence to governance standards, and compliance with data privacy and AI-related regulations

Basic Qualifications
  • Bachelor's Degree in Computer Science, Electrical Engineering, Computer Engineering, Software Engineering, Aerospace Engineering, Math or Physics or a technical field (such as CIS or IT) relevant to the essential functions of this job description AND a minimum of 1 year of relevant experience
  • Experience using systems such as SQL, Python, or R
  • Strong knowledge of machine learning frameworks (e.g., Scikit-Learn, TensorFlow, PyTorch)
  • Demonstrated understanding of advanced descriptive and inferential statistics
  • Demonstrates expert knowledge in data analysis methods and tools
  • Demonstrated strong and effective verbal, written, and interpersonal communication skills
  • Must be team-oriented, possess a positive attitude, and work well with others
  • Driven problem solver with proven success in solving difficult problems
  • Consistently demonstrates quality and effectiveness in work documentation and organization

Desired Qualifications
  • Experience with structured database management systems
  • Experience with applying statistical methods (e.g. time series analysis, NLP, deep learning, or reinforcement learning)
  • Hands-on experience with MLOps, model deployment, and CI/CD for data science workflows
  • Exposure to distributed computing (e.g., Spark, Dask) and NoSQL databases
  • Understanding of A/B testing and causal inference
  • Experience working with unstructured data (text, images, audio, etc.)
  • Familiarity with data visualization tools (i.e. Matplotlib, Seaborn)

Garmin International is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, citizenship, sex, sexual orientation, gender identity, veteran's status, age or disability.
This position is eligible for Garmin's benefit program. Details can be found here: Garmin Benefits

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