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Geospatial Data Science Jobs in Connecticut (NOW HIRING)

Neshent Technologies

Integrate GIS data, map services, and geospatial functionality into web applications. * Collaborate ... Bachelor's degree in Computer Science, Information Technology, Geographic Information Systems (GIS ...

Neshent Technologies

CT · On-site

Integrate GIS data, map services, and geospatial functionality into web applications. * Collaborate ... Bachelor's degree in Computer Science, Information Technology, Geographic Information Systems (GIS ...

Neshent Technologies

ESRI ArcGIS Web Developer

Avon, CT · On-site

Integrate GIS data, map services, and geospatial functionality into web applications. * Collaborate ... Bachelor's degree in Computer Science, Information Technology, Geographic Information Systems (GIS ...

Neshent Technologies

Integrate GIS data, map services, and geospatial functionality into web applications. * Collaborate ... Bachelor's degree in Computer Science, Information Technology, Geographic Information Systems (GIS ...

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All JobsGeospatial Data Science JobsGeospatial Data Science Jobs in Connecticut

Geospatial Data Science information

See Connecticut salary details

$20.9K

$73.7K

$116.1K

How much do geospatial data science jobs pay per year?

As of Aug 22, 2026, the average yearly pay for geospatial data science in Connecticut is $73,719.00, according to ZipRecruiter salary data. Most workers in this role earn between $51,800.00 and $76,100.00 per year, depending on experience, location, and employer.

What is geospatial data science?

Geospatial data science is an interdisciplinary field that focuses on analyzing and interpreting data that has a geographic or spatial component. It combines techniques from data science, statistics, and geographic information systems (GIS) to extract insights, identify patterns, and solve problems related to location-based data. Professionals in this field work with mapping, remote sensing, spatial analysis, and visualization tools to support decision-making in areas like urban planning, environmental monitoring, and logistics.

What are the key skills and qualifications needed to thrive as a geospatial data scientist?

To thrive as a Geospatial Data Scientist, you need a solid background in statistics, spatial analysis, and programming, typically supported by a degree in geography, computer science, or a related field. Proficiency with GIS software (such as ArcGIS or QGIS), spatial databases, and coding languages like Python or R is essential, and certifications in GIS can be advantageous. Strong problem-solving skills, attention to detail, and effective communication help translate complex spatial data into actionable insights for diverse stakeholders. These skills ensure accurate data analysis, innovative solutions, and impactful decision-making in fields reliant on geographic information.

How does a geospatial data scientist typically collaborate with other departments or teams within an organization?

Geospatial Data Scientists often work closely with professionals from diverse departments such as urban planning, environmental science, IT, and business analytics. Collaboration usually involves sharing spatial insights, integrating geospatial data with other datasets, and contributing to interdisciplinary projects that require spatial analysis or mapping. Effective communication is crucial, as you'll translate complex geospatial findings into actionable recommendations for non-technical stakeholders. This cross-functional teamwork not only broadens your understanding of organizational goals but also enhances the impact and visibility of geospatial analyses.

What is the difference between Geospatial Data Science vs GIS Analyst?

AspectGeospatial Data ScienceGIS Analyst
Required CredentialsDegree in Data Science, Geography, or related; often includes programming skillsDegree in Geography, GIS, or related; GIS certifications common
Work EnvironmentData analysis, modeling, programming, often in tech or research settingsMapping, spatial data management, using GIS software in various industries
Employer & Industry UsageTech companies, research institutions, government agencies focusing on spatial data analysisUrban planning, environmental agencies, utilities, and government agencies

While both roles work with spatial data, Geospatial Data Science emphasizes data analysis, modeling, and programming skills to extract insights from geospatial data. GIS Analysts focus more on mapping, data management, and using GIS software for spatial analysis. The roles often overlap but differ mainly in technical focus and application areas.

Geospatial Data Science jobs near you
Infographic showing various Geospatial Data Science job openings in Connecticut as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 11% Part Time, 2% Temporary, and 5% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $73,719 per year, or $35.4 per hour.

ESRI ArcGIS Web Developer

Neshent Technologies

On-site

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

We are seeking an experienced ESRI Web Developer to design, develop, and maintain interactive GIS web applications using the ESRI ArcGIS platform. The ideal candidate will have strong expertise in ArcGIS Web technologies, JavaScript, and modern front-end frameworks to deliver scalable, high-performance geospatial solutions.

Key Responsibilities
  • Design, develop, and maintain web-based GIS applications using the ESRI ArcGIS API for JavaScript.
  • Build responsive, user-friendly interfaces using modern web technologies.
  • Integrate GIS data, map services, and geospatial functionality into web applications.
  • Collaborate with GIS analysts, developers, and business stakeholders to gather requirements and deliver technical solutions.
  • Develop reusable, scalable, and maintainable application components.
  • Perform application testing, debugging, and performance optimization.
  • Develop and consume RESTful APIs and web services.
  • Create and maintain technical documentation, design specifications, and user guides.
  • Support application deployment, maintenance, and enhancements.
  • Follow development best practices, coding standards, and version control processes.
Required Qualifications
  • Bachelor's degree in Computer Science, Information Technology, Geographic Information Systems (GIS), or a related field.
  • 9–14 years of experience in web application development with a strong focus on ESRI ArcGIS technologies.
  • Hands-on experience with ESRI ArcGIS API for JavaScript.
  • Strong proficiency in JavaScript, HTML5, CSS3, and TypeScript.
  • Experience with modern front-end frameworks such as React, Angular, or Vue.js.
  • Strong understanding of GIS concepts, spatial data, and geospatial application development.
  • Experience integrating GIS services, REST APIs, and web services.
  • Strong analytical, troubleshooting, and problem-solving skills.
  • Excellent communication and collaboration skills.
Preferred Qualifications
  • Experience with ArcGIS Enterprise.
  • Experience with geospatial front-end and back-end development.
  • Experience developing and deploying applications in cloud environments.
  • Familiarity with DevOps practices, CI/CD pipelines, and version control tools.
  • ESRI Technical Certification or other relevant GIS certifications.
  • Experience with spatial data management and enterprise GIS solutions.

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