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Geospatial Data Scientist Jobs in Kansas (NOW HIRING)

Senior C# Software Engineer - Map Data

Olathe, KS · On-site

$115K - $152K/yr

... geospatial data processing challenges involving data quality, scalability, performance, and production reliability Qualifications : Required : • Bachelor's Degree in Computer Science, Electrical ...

Design and maintain robust data and feature pipelines for large-scale geospatial and temporal data. * Partner with wildfire science and product teams to define modeling objectives and evaluation ...

... Science in Computer Science, Electrical Engineering, Computer Engineering, Software Engineering ... geospatial data systems • Familiarity with data compression, tiling, indexing, or spatial data ...

... data scientists * Experience designing LLMs/AI powered products and know when the technology can be used to deliver delightful experiences * Experience working with maps/geospatial data Note: We ...

Bachelor's degree in Computer Science, Engineering, Geography, Planning or related field and 3 ... managing data storage, or integrating cloud services into geospatial workflows Additional ...

Your primary focus will be on enhancing the geospatial capabilities of our Outage Management System ... Configure and manage map services and data publishing workflows to ensure timely and accurate data ...

Your primary focus will be on enhancing the geospatial capabilities of our Outage Management System ... Configure and manage map services and data publishing workflows to ensure timely and accurate data ...

The team tackles hard problems in a variety of spaces, such as matching, pricing, and geospatial ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...

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The team tackles hard problems in a variety of spaces, such as matching, pricing, and geospatial ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...

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Geospatial Data Scientist information

See Kansas salary details

$33.4K

$109.5K

$175.2K

How much do geospatial data scientist jobs pay per year?

As of Jul 18, 2026, the average yearly pay for geospatial data scientist in Kansas is $109,464.00, according to ZipRecruiter salary data. Most workers in this role earn between $87,800.00 and $121,300.00 per year, depending on experience, location, and employer.

Is 40 too late for data science?

A geospatial data scientist can start or transition into the field at age 40, as data science values skills, experience, and continuous learning over age. Many professionals successfully switch careers or advance in data science later in life by acquiring relevant skills such as programming, statistics, and GIS tools, and obtaining certifications if needed.

What are the typical daily tasks of a Geospatial Data Scientist?

As a Geospatial Data Scientist, your daily tasks often involve collecting, cleaning, and analyzing spatial datasets using GIS tools and programming languages. You may be responsible for developing spatial models, visualizing geographic data through interactive maps, and generating reports to help guide strategic decisions. Collaboration with professionals from engineering, urban planning, or environmental science teams is common, requiring you to communicate complex analyses in a clear and actionable manner. Additionally, you might participate in project meetings to align your work with organizational goals and stakeholder needs. This dynamic role blends technical analysis with communication and teamwork, making each day varied and intellectually stimulating.

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

Geospatial Data Scientists require expertise in spatial analysis, statistics, and data modeling, typically supported by a degree in geography, computer science, or a related field. Proficiency with GIS software (such as ArcGIS or QGIS), programming languages like Python or R, and familiarity with spatial databases are often expected, while certifications in GIS can be advantageous. Strong problem-solving abilities, collaboration, and effective communication skills help professionals translate complex data into actionable insights and work well with diverse teams. Mastery of these skills ensures accurate geospatial analyses and supports informed, data-driven decision making in various industries.

Can data scientists make $300k?

Geospatial Data Scientists with extensive experience, advanced skills in GIS tools, programming, and machine learning can potentially earn $300,000 or more, especially in high-demand industries or senior roles. However, such salaries are typically achieved through seniority, specialized expertise, or leadership positions, and are not common for entry-level or mid-career roles.

Is GIS still in demand?

Geospatial Data Scientists and GIS professionals are in high demand due to the increasing reliance on spatial data across industries such as urban planning, environmental management, and logistics. Skills in GIS software, spatial analysis, and programming languages like Python or R enhance job prospects in this field, which continues to grow with advancements in technology and data integration.

What is a Geospatial Data Scientist job?

A Geospatial Data Scientist analyzes spatial and geographic data to extract insights, create predictive models, and support decision-making. They use tools like GIS, remote sensing, machine learning, and statistical analysis to process location-based data. Their work spans various industries, including urban planning, environmental monitoring, agriculture, and logistics. By leveraging spatial data, they help optimize operations, manage resources, and solve complex geographic problems.

What does a geospatial data scientist do?

A geospatial data scientist analyzes geographic data to identify patterns, trends, and insights using tools like GIS software, programming languages such as Python or R, and spatial databases. They develop models, visualize data on maps, and support decision-making in fields like urban planning, environmental management, and transportation.
What are popular job titles related to Geospatial Data Scientist jobs in Kansas? For Geospatial Data Scientist jobs in Kansas, the most frequently searched job titles are:
What cities in Kansas are hiring for Geospatial Data Scientist jobs? Cities in Kansas with the most Geospatial Data Scientist job openings:
Senior C# Software Engineer - Map Data

Senior C# Software Engineer - Map Data

Garmin

Olathe, KS • On-site

$115K - $152K/yr

Full-time

Re-posted 5 hours ago


Garmin rating

8.8

Company rating: 8.8 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

9th of 143 rated electronics manufacturers


Job description

Job Summary:
Garmin is seeking a full-time Senior C# Software Engineer on their Map Data team at their U.S. headquarters. In this role, you will help build and evolve the map data systems that power Garmin's Automotive, Fitness, and Outdoor products, focusing on geospatial data processing and system reliability.
Responsibilities:
• Serves in a leadership capacity as an individual contributor for carrying out software development in C#, SQL, Python or other selected languages for new map data processes and features
• May serve as Lead Software Engineer for complex, cross-functional projects that deliver new map data capabilities or improve the performance, scalability, and reliability of existing systems
• Designs, develops, and maintains software for importing, normalizing, validating, and processing diverse geospatial data sources
• Decomposes functional requirements into well-defined tasks
• Researches and implements algorithms for geospatial data processing, normalization, validation, conflation, feature extraction, and map data quality improvement
• Offers peer technical assessments in areas of expertise, new technologies and software designs
• Participates in project leadership including providing technical input to product development plans and concept documents
• Makes substantial contributions toward determination of project goal/objective feasibility and applies good judgment in setting schedules/risk taking
• Mentors and provides guidance to less experienced Software Engineers (1 & 2)
• Contributes to advanced technical research on new technologies
• Offers process improvement suggestions and authors new procedures as appropriate
• Provides reliable solutions to complex geospatial data processing challenges involving data quality, scalability, performance, and production reliability
Qualifications:
Required:
• Bachelor’s Degree in Computer Science, Electrical Engineering, Computer Engineering, Software Engineering, Math, Physics or related field AND a minimum of 5 years relevant experience OR an equivalent combination of education and experience
• Excellent academics (cumulative GPA greater than or equal to 3.0 as a general rule)
• Demonstrated proficiency with designing well-architected software systems and modules that support new technology or improve capability/performance of existing functionality
• Demonstrated competence with researching fundamental problems and implementing appropriate algorithmic solutions
• Demonstrated ability to serve as a lead software engineer for a complex software project
• Ability to decompose functional requirements into well-defined tasks while balancing quality, quantity, and complexity in work output
• Demonstrated capability to offer peer technical assessments in areas of expertise, new technologies and software designs
• Mastered proficiency in writing software in C# or similar object-orientated languages such as Java and relevant experience and/or training in data structures or object-oriented design methodology
• Demonstrated strong and effective verbal, written, and interpersonal communication skills
• Must be positive, detail oriented, organized, team oriented and a driven problem solver, multi-tasker, and self-starter with the ability to prioritize and lead in a fast paced, deadline-driven environment
Preferred:
• Experience writing and optimizing complex SQL queries against large-scale relational databases
• Experience with GIS (Geographic Information Systems) and mapping technologies
• Experience with T-SQL and Microsoft SQL Server databases
• Experience developing production-quality software in Python
• Experience using machine learning, statistical analysis, or data mining techniques to derive insights or features from large datasets
• Previous experience in the cycling, running, outdoor adventure or automotive industries
• Outstanding academics (cumulative GPA greater than or equal to 3.5)
Company:
WHERE DO WE START? How about Kansas City? That’s our home. That’s where Garmin put a stake in the ground in 1989. Founded in 1988, the company is headquartered in Nanterre, FRA, with a team of 10001+ employees. The company is currently Late Stage.

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