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Geospatial Data Engineer Remote Jobs in Connecticut

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VP/Director of Engineering (Remote)

Ridgefield, CT · On-site +1

$179K - $231K/yr

... data stores, implementations, tech stack selections, and build versus buy decisions. You will have ... You have the ambition and confidence to fully engineer, maintain, and scale special technology ...

Milliman

Strategic Data Partnership Manager

Windsor, CT · Remote

This position is fully remote, while occasional travel may be required. Primary Responsibilities ... You'll work closely with product, engineering, legal, sales and other market-facing teams. * Grow ...

KēSTA I.T.

AI Engineer

Hartford, CT · On-site +1

$1/hr

... is Remote : We are seeking an AI Applications Developer to support the ongoing operation, modernization, and enhancement of AI-enabled applications that manage confidential and regulated data. This ...

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:

Owl Cyber Defense

Sr FPGA Engineer II

Danbury, CT · On-site +1

$140K - $180K/yr

Remote (For those in Eastern or Central time zones) Owl Cyber Defense is a leader and trusted ... Owl's product lines of cross domain, data diode, and portable media solutions provide the strongest ...

Owl Cyber Defense

Principal FPGA Engineer

Danbury, CT · On-site +1

$160K - $210K/yr

Remote (for those in Eastern or Central time zones) Owl Cyber Defense is a leader and trusted ... Owl's product lines of cross domain, data diode, and portable media solutions provide the strongest ...

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All JobsGeospatial Data Engineer JobsGeospatial Data Engineer Remote JobsGeospatial Data Engineer Remote Jobs in Connecticut

Geospatial Data Engineer Remote information

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 are popular job titles related to Geospatial Data Engineer Remote jobs in Connecticut?

For Geospatial Data Engineer Remote jobs in Connecticut, the most frequently searched job titles are:

What job categories do people searching Geospatial Data Engineer Remote jobs in Connecticut look for?

The top searched job categories for Geospatial Data Engineer Remote jobs in Connecticut are:

What cities in Connecticut are hiring for Geospatial Data Engineer Remote jobs?

Cities in Connecticut with the most Geospatial Data Engineer Remote job openings:

Geospatial Data Engineer Remote jobs near you
Infographic showing various Geospatial Data Engineer Remote job openings in Connecticut as of August 2026, with employment types broken down into 50% Full Time, and 50% Summer. Highlights an 100% In-person job distribution.

Principal AI Engineer

The Hartford Financial Services Group, Inc.

Hartford, CT • On-site, Remote

Full-time

Posted 25 days ago

The Hartford rating

8.8

Company rating: 8.8 out of 10

Based on 121 frontline employees who took The Breakroom Quiz

56th of 311 rated insurance

Job description

Principal Software Engineer - IE06GE
We're determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals - and to help others accomplish theirs, too. Join our team as we help shape the future.
At the Hartford, we are seeking a Principal AI Engineer who is responsible for building our AI platform to accelerate designing, developing, and deploying AI use cases, and drive innovation at scale, with particular emphasis on GenAI capabilities and acceleration of use cases.
We are driven by a strong determination to create a meaningful impact and take pride in being an insurance company that extends far beyond the realms of policies and coverages. When you choose to be a part of our team, you open the door to endless opportunities for personal and professional growth, as well as the chance to empower others in reaching their aspirations. You will help bring the transformative power of AI/GenAI capabilities to re-imagine the 'art of possible' and serve our internal customers and transform the businesses.
This team is dedicated to building state-of-the-art AI platform. We are looking for an experienced Principal AI Engineer, to help us build the foundation of our AI capability. You will be a thought partner to the platform leadership. You will provide vision and impeccably execute the build of platform capabilities that accelerates the build of complex digital assistants, enables rapid experimentation, supports scaling and productionization of the solutions with built in scalability, security and self-service features. The ideal candidate is an accomplished professional with significant hands-on experience in data, analytics, MLOps/LLMOps engineering who is equipped to manage and drive broader stakeholder engagements.
This role requires versatility and expertise across a wide range of skills. Someone who is biased for action, visionary and an engineer at heart will fit into this role seamlessly.
This role can have a Hybrid or Remote work arrangement. Candidates who live near one of our office locations will have the expectation of working in an office 3 days a week (Tuesday through Thursday) Candidates who do not live near an office will have a remote work arrangement, with the expectation of coming into an office as business needs arise. Candidate must be authorized to work in the US without company sponsorship.
Responsibilities:
  • Key thought leader, collaborator, and contributor to the build of the AI platform that supports and accelerated GenAI and traditional predictive and ML solutions.
  • Define and execute the vision and roadmap for AI platform that align with the organization's strategic goals and customer needs.
  • Drive the future state of the AI platform by staying updated with the latest trends and developments
  • Lead the build and execution of POCs and prototypes that serve to qualify and validate emerging AI platform solutions that can be leveraged as solution quick start and eventually become capabilities within the AI platform for enterprise consumption.
  • Provide hands_on engineering support to the build of platform capabilities e.g., agentic frameworks, IAC, production grade capabilities, monitoring systems, developer experience, FinOps capabilities etc
  • Partner with our shared service teams like Architecture, Cloud, Security, etc to design and implement platform solutions.
  • Collaborate with the DS team to develop a self-service internal developer AI platform.
  • Provide leadership and mentorship to engineers on the team, fostering a culture of innovation, collaboration, and continuous upskilling and learning.

Qualifications:
  • Bachelor's degree in Computer Science, Computer Engineering, or a technical field.
  • 10+ years of experience with cloud (AWS / GCP)
  • Demonstrate a willingness to challenge the status quo and a bias for action
  • Extensive programming experience with Python, Typescript.
  • At least 8 years of experience designing and building data-intensive solutions using distributed computing.
  • 10+ years building and shipping software and/or platform infrastructure solutions for enterprises.
  • Hands-on experience with cloud platforms and services, such as Google Cloud, AWS, Azure and their offerings for AI / generative AI
  • Experience with CI/CD pipelines, Automated Testing, Automated Deployments, Agile methodologies, Unit Testing and Integration Testing tools.
  • Experience with building scalable serverless application (real-time / batch)
  • Knowledge of distributed NoSQL database systems.
  • Experience with data engineering, ETL technology, and conversation UX is a plus.
  • Experience with HPCs, vector embedding, and Hybrid/Semantic search technologies.
  • Proficiency in customization techniques across various stages of the RAG pipeline, including model fine-tuning, retrieval re-ranking, Hybrid search and multimodal RAG plus.
  • Strong proficiency in embeddings, ANN/KNN, vector stores, quantization, database optimization, & performance tuning.
  • Experience in building Agentic system using frameworks like LangGraph and crewai is a plus.
  • Basic understanding of Natural Language Processing, vector space models and Deep Learning.
  • Excellent problem-solving skills and the ability to work in a collaborative team environment.
  • Excellent communication skills.

Candidate must be authorized to work in the US without company sponsorship. The company will not support the STEM OPT I-983 Training Plan endorsement for this position.
Compensation
The listed annualized base pay range is primarily based on analysis of similar positions in the external market. Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. The base pay is just one component of The Hartford's total compensation package for employees. Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition. The annualized base pay range for this role is:
$168,400 - $252,600
Equal Opportunity Employer/Sex/Race/Color/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age
About Us | Our Culture | What It's Like to Work Here | Perks & Benefits

What The Hartford employees say

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Benefits

Hours and flexibility

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Get the full story on Breakroom

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About Hartford

Sourced by ZipRecruiter

Hartford Financial Services Group, widely recognized as The Hartford, is a renowned company based in Hartford, CT, US. Established in 1810, it has evolved into an industry leader in the insurance and financial services sector, proudly serving more than one million businesses in the US. The Hartford is committed to offering a gamut of insurance products that include homeowners, automobile, and business insurance as well as employee benefits and mutual funds. The company’s core values revolve around customer-focused innovations, diversity and inclusion, and ethical dealings that have earned them a customer-centric reputation. This shapes their mission which revolves around aiding their clients to overcome unforeseen obstacles and enhancing their wealth over time. Among the company's noted accomplishments is being consistently listed among the World's Most Ethical Companies, a testament to their unwavering commitment towards responsible business practices.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

Hartford, CT, US

Year founded

1810

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