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Geospatial Data Engineer Remote Jobs in Willimantic, CT

FHR

MO416- Power Platform developer 64265

Hartford, CT · Remote

100% Remote. Our direct client has an opening for a Power Platform developer 64265 This position is ... Create data models, user interfaces, workflows, and reports * The candidate will collaborate with ...

FAVARH

AI Principal Engineer

Windsor, CT · On-site +1

... engineering, data, and governance stakeholders to deliver scalable, reliable, and secure AI ... This role is fully remote, with no regular in-office requirement. The Contributions You'll Make:

Simplex

Solutions Architect- Databricks

Hartford, CT · On-site +1

$170K - $200K/yr

Our client is a fast-growing data analytics and AI startup. This is a remote position based ... Collaborate with Product and Engineering to influence the future direction of the Kobai platform.

Simplex

Solutions Architect- Databricks

Hartford, CT · Remote

$63.50 - $83.75/hr

Our client is a fast-growing data analytics and AI startup. This is a remote position based ... Collaborate with Product and Engineering to influence the future direction of the Kobai platform.

Simplex

Solutions Architect- Databricks

Hartford, CT · Remote

$170K - $200K/yr

Our client is a fast-growing data analytics and AI startup. This is a remote position based ... Collaborate with Product and Engineering to influence the future direction of the Kobai platform.

Workiva

Spring 2027 Intern - Data Analytics

Hartford, CT · On-site +1

$22/hr

This internship is primarily a remote opportunity. However, if you are located near one of our ... September 27, 2026 Engineering postings close: October 2, 2026 Interviews: Early to mid October ...

ABB

Senior Project Engineer

Bloomfield, CT · Remote

$101K - $132K/yr

The work model for this role is: Remote {#LI-Remote} This role is contributing to the ... Leading and supporting commissioning of data centers, paralleling switchgear (PSG), and power ...

FAVARH

Senior Data Product Owner

Hartford, CT · On-site +1

You will partner closely with business leaders, engineers, architects, and data professionals to ... Remote or hybrid work arrangement in accordance with Voya's flexible workplace guidelines. The ...

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All JobsGeospatial Data Engineer JobsGeospatial Data Engineer Remote JobsGeospatial Data Engineer Remote Jobs in Willimantic, CT

Geospatial Data Engineer Remote information

See Willimantic, CT salary details

$42.1K

$122.8K

$168K

How much do geospatial data engineer remote jobs pay per year?

As of Sep 14, 2026, the average yearly pay for geospatial data engineer remote in Willimantic, CT is $122,787.00, according to ZipRecruiter salary data. Most workers in this role earn between $108,400.00 and $130,200.00 per year, depending on experience, location, and employer.

What is a geospatial data engineer?

A Geospatial Data Engineer is a technology professional who designs, develops, and manages systems for collecting, storing, analyzing, and visualizing geospatial (location-based) data. They work with geographic information systems (GIS), spatial databases, and cloud platforms to process large datasets from sources like satellites, drones, and sensors. In a remote setting, they collaborate with teams online to build and maintain geospatial data pipelines and support decision-making for industries such as urban planning, environmental science, and logistics.

What are the typical challenges faced by remote geospatial data engineers when collaborating with distributed teams?

Remote Geospatial Data Engineers often navigate challenges such as coordinating across different time zones, ensuring data consistency, and maintaining effective communication with team members who may have varying technical backgrounds. Utilizing collaborative tools like version control systems and cloud-based platforms helps streamline workflows, but clear documentation and regular check-ins are essential to prevent misunderstandings. Building strong relationships virtually and proactively addressing technical or logistical issues can greatly enhance productivity and teamwork in a remote setting.

What are the key skills and qualifications needed to thrive as a geospatial data engineer in a remote role, and why are they important?

To thrive as a Geospatial Data Engineer (Remote), you need a strong background in GIS, geospatial analysis, and computer science, often supported by a related degree and experience with spatial databases. Proficiency with tools like Python, SQL, PostGIS, ArcGIS, and cloud platforms is typically required, along with relevant certifications such as GISP. Excellent problem-solving, communication, and self-management skills are essential for collaborating across distributed teams and delivering results independently. These skills ensure effective management of complex geospatial datasets, seamless integration of spatial data solutions, and success in a remote work environment.

What is the difference between Geospatial Data Engineer Remote vs GIS Analyst?

AspectGeospatial Data Engineer RemoteGIS Analyst
Required CredentialsBachelor's in GIS, Geography, Computer Science; experience with GIS software and programmingBachelor's in Geography, GIS, or related field; proficiency in GIS tools
Work EnvironmentRemote, often collaborative with teams across locationsTypically office-based or hybrid; fieldwork possible
Employer & Industry UsageTech companies, government agencies, environmental firmsUrban planning, government, environmental consulting
Common Search & ComparisonOften compared for GIS and data engineering roles in remote settings

The main difference between a Geospatial Data Engineer Remote and a GIS Analyst lies in their focus and skill set. Geospatial Data Engineers primarily develop and maintain data pipelines and infrastructure, often requiring programming skills, while GIS Analysts focus on spatial data analysis and map creation. Both roles may work remotely and share similar educational backgrounds, but their daily tasks and technical expertise differ significantly.

What job categories do people searching Geospatial Data Engineer Remote jobs in Willimantic, CT look for?

The top searched job categories for Geospatial Data Engineer Remote jobs in Willimantic, CT are:

What cities near Willimantic, CT are hiring for Geospatial Data Engineer Remote jobs?

Cities near Willimantic, CT with the most Geospatial Data Engineer Remote job openings:

Geospatial Data Engineer Remote jobs near you

AI Engineer - Hartford, CT Remote

Hartford, CT • Remote

TiltEdge Solutions LLC
Recruiting and Staffing Services • 1 - 10 employees
Learn more about TiltEdge Solutions LLCexternal

Contractor

Posted 10 days ago

Job description

Role: CT - DOB - AI Engineer (804812)
Location: Hartford, CT Remote
Duration: 6+ Months
Client: State of Connecticut
 
Short Description:
Support the ongoing operation, modernization, and extension of AI-enabled applications for the Department of Banking and other state agencies which involves working with confidential and regulated financial and examination data. 
 
Complete Description:
This is a hands-on, applied technical role. The successful candidate will work primarily in Python within modern web frameworks (such as FastAPI), deploy and maintain services on Microsoft Azure (App Service, Storage, Key Vault, and related services), and use Git-based source control and pull-request workflows.
 
The role operates within an AI-assisted software development environment, in which modern coding assistants are used as a primary day-to-day tool for writing, reviewing, and debugging code. The analyst is expected to be effective in this style of AI-assisted software development — directing the tools, validating their output, and shipping reliable production code.
 
In addition to working on developing AI solutions for the Department of Banking, the candidate will work in close collaboration with the Connecticut AI Lab, a centralized team within DAS that supports the design, development, and deployment of AI-enabled tools across state agencies. The AI Lab provides architectural guidance, shared infrastructure, and engineering support for the applications this role helps maintain and extend.
 
EXAMPLES OF DUTIES
Maintains, enhances, and extends existing applications and supporting services.
Analyzes requirements and participates in project planning sessions with customers, analysts, and team members to provide design recommendations for routine to moderately complex systems.
Prepares source code; debugs and corrects errors; maintains the integrity of software.
Configures, deploys, and monitors applications and supporting services in cloud environments.
Designs and develops routine to moderately complex applications, including data flows, screens, forms, and reports.
Provides technical consultation on routine to moderately complex issues regarding the usage of the infrastructure and integration of applications systems into the infrastructure.
Documents system processes, workflows, and technical procedures.
Participates in the evaluation of new and related technologies.
Performs related duties as required.
 
KNOWLEDGE, SKILL AND ABILITY
Knowledge of principles and techniques of systems analysis, design, development, and programming.
Knowledge of modern programming languages, with emphasis on Python and related web application frameworks.
Knowledge of cloud computing principles and services, with emphasis on Microsoft Azure.
Knowledge of source control practices, including Git and pull-request-based collaboration.
Knowledge of modern AI-assisted software development workflows and tools.
Ability to compare and select AI models (for example, A/B testing two models on a task)
Interpersonal, oral, and written communication skills.
Knowledge of secure development practices and appropriate handling of confidential or regulated data, including security considerations specific to AI applications.
Ability to take a user request from intake through deployment to production with appropriate guidance
 
Skill
Required / Desired
Amount
of Experience
Python development in a Web environment that handles application logic and web APIs
Required
3
Years
Experience building applications powered by large language models (LLMs) such as Google Gemini, Anthropic Claud, or OpenAI GPT
Required
2
Years
Professional experience related to comparing & selecting AI models (for example, A/B testing two models on a task)
Required
2
Years
Experience deploying applications and supporting services in cloud environments
Highly desired
2
Years
Deployed and maintained services on Microsoft Azure (App Service, Storage, Key Vault and related services)
Desired
2
Years
Experience using Git-based source control and pull-request workflows
Desired
2
Years
Previous experience working directly with a state government agency in AI development
Desired
1
Years
EXCEPTIONAL COMMUNICATION skills - both oral and written are REQUIRED
Required