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Gis Python Developer Remote Jobs in Higganum, CT

FAVARH

Cloud Security Engineer

Windsor, CT · Remote

This role is remote with the expectation that candidates are based near one of the following Voya ... Develop andmaintain security automation using scripting languages (Python, PowerShell, Bash)

Hyperfine

Senior Software Engineer, Cloud

Guilford, CT · On-site +1

$143K - $165K/yr

The goal of this role is to design and develop key software systems for remote setup, management ... Python). * Building and developing APIs and restful web services (Node.js, Flask/Nginx, Docker ...

Hyperfine

Senior Software Engineer, Cloud

Guilford, CT · On-site +1

$143K - $165K/yr

The goal of this role is to design and develop key software systems for remote setup, management ... Python). * Building and developing APIs and restful web services (Node.js, Flask/Nginx, Docker ...

UnitedHealth Group

Software Engineer

Hartford, CT · Remote

$72K - $130K/yr

If you reside near Hartford, CT , you'll enjoy the flexibility of a hybrid-remote position* as you ... in Python for building AI services, APIs, and backend systems * 2 years Hands-on experience ...

Cigna

Data Science Director - Remote

Bloomfield, CT · On-site +1

Provide technical leadership across machine learning, statistical modeling, feature engineering ... Hands-on experience with Python, SQL, Git, and modern analytics development practices. * Experience ...

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Gis Python Developer Remote information

See Higganum, CT salary details

$13

$59

$87

How much do gis python developer remote jobs pay per hour?

As of Jul 14, 2026, the average hourly pay for gis python developer remote in Higganum, CT is $59.49, according to ZipRecruiter salary data. Most workers in this role earn between $49.04 and $67.60 per hour, depending on experience, location, and employer.

What is a GIS Python Developer (Remote)?

A GIS Python Developer (Remote) is a software developer who specializes in using the Python programming language to work with Geographic Information Systems (GIS) while working from a remote location. Their primary responsibilities include creating, maintaining, and optimizing geospatial data processing applications, automating GIS workflows, and integrating spatial data with various software platforms. They often use libraries like ArcPy, GeoPandas, and GDAL, and collaborate with teams on mapping, analysis, and visualization projects. Remote GIS Python Developers need strong programming and GIS skills, as well as the ability to communicate and manage projects virtually.

What are the key skills and qualifications needed to thrive as a GIS Python Developer (Remote), and why are they important?

To thrive as a GIS Python Developer working remotely, you need strong proficiency in GIS concepts, spatial data analysis, Python programming, and a relevant degree in geography, computer science, or a related field. Familiarity with tools such as ArcGIS, QGIS, GDAL/OGR, and libraries like GeoPandas and Shapely, along with experience using version control systems like Git, is typically required. Excellent problem-solving, communication, and self-motivation are crucial soft skills for collaborating with distributed teams and managing projects independently. These skills and qualities are vital for delivering accurate geospatial solutions, ensuring effective teamwork, and adapting to a remote work environment.

What is the difference between Gis Python Developer Remote vs GIS Analyst?

AspectGis Python Developer RemoteGIS Analyst
Required CredentialsBachelor's in GIS, Computer Science, or related field; Python programming skillsBachelor's in Geography, GIS, or related field; GIS software proficiency
Work EnvironmentRemote, often collaborative with development teamsOn-site or remote, focused on data analysis and mapping
Industry UsageTech, environmental, urban planning companiesGovernment agencies, consulting firms, environmental organizations
Common Search/ComparisonYesNo

Gis Python Developers remote focus on coding, software development, and automation using Python, often working on GIS applications. In contrast, GIS Analysts primarily analyze spatial data and create maps. While both roles require GIS knowledge, the developer role emphasizes programming skills and software creation, whereas the analyst role centers on data interpretation and reporting.

What are some common challenges faced by remote GIS Python Developers, and how can they be effectively addressed?

Remote GIS Python Developers often encounter challenges such as collaborating across time zones, accessing large spatial datasets, and integrating with diverse geospatial systems. Effective communication with team members using collaboration tools, establishing clear version control practices, and leveraging cloud-based geospatial platforms can help address these hurdles. Additionally, regularly participating in virtual meetings and code reviews fosters alignment and knowledge sharing among distributed teams.
Gis Python Developer Remote jobs near you
Principal AI Engineer - Agent Ops / SRE

Principal AI Engineer - Agent Ops / SRE

The Hartford Financial Services Group, Inc.

Hartford, CT • On-site, Remote

$57.50 - $76.50/hr

Full-time

Re-posted 4 days ago

The Hartford rating

8.8

Company rating: 8.8 out of 10

Based on 110 frontline employees who took The Breakroom Quiz

53rd of 281 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.
The Hartford's applied AI COE Team is seeking a Principal AI Engineer - Agent Ops/SRE.
The AI-COE serves as a centralized function to accelerate AI maturity, eliminate silos, and streamline AI adoption through standardized processes and technologies, ensuring strong alignment with business objectives. AI-COE is responsible for building reusable AI solutions, horizontal AI Agents, Agent Starter Packs and partnering with other IT/Business unit to deliver and maintain their AI Assets.
This role will support data scientist and AI solution engineer to build, deploy & maintain AI-COE products, ensuring reliability, uptime and throughput as per application tiers. This is the most senior individual contributor role, responsible for driving efficiency across the AI delivery lifecycle (AgentOps), while applying strong software and systems engineering practices to scale, operate, and ensure reliability of AI systems (SRE).
You will work very closely with AI platform , Cloud Engineering, Security and Enterprise SRE team using their standards and tooling to deploy and maintain the solution.
This role requires versatility across DevOps, MLOps, AgentOps, and SRE, with strong expertise in automation and a proven track record of building and operating large-scale, mission-critical systems.
If you are passionate about automation and building large-scale distributed systems, we'd love to connect with you.
Responsibilities:
  • Serve as technical liaison between AI COE and Platform Engineering & Enterprise SRE teams.
  • Ensure AI systems meet requirements for performance, latency, throughput, resiliency, recovery, observability and reliability.
  • Partner with AI engineers, Applied AI Scientist, and AI Architects to design, build and maintain scalable, fault tolerant AI systems as per SLO.
  • Partner with Platform engineering team to design and implement CICD, GITOps, and IAC (Terraform) modules. Making sure we use our AgentOps NSA, standards, Ref. architecture and tooling.
  • Partner with enterprise release management and AI Governance team to build & deploy AI solutions using their platform tooling. Supporting entire AI lifecycle as per the standard work template.
  • Build standardized deployment templates, reference architecture, automation scripts, terraform modules, CICD pipelines, and operational runbooks for AI workloads.
  • Design and build IDP (Harness) catalogs, templates & pipelines partnering with enterprise platform engineering team.
  • Manage production systems to ensure our enterprise SLOs are met.
  • Manage incident response for production systems, including triaging, escalating, RCA and implementing corrective actions.

Qualifications:
  • Bachelor's degree in Computer Science, Computer Engineering, or a technical field.
  • 10+ years building and shipping software and/or platform solutions for enterprises.
  • Programming experience with Python is required.
  • 3+ years of experience with IAC (Terraform).
  • 5+ years of experience owning production CICD, GitOps and release management gating.
  • 3+ years of experience in implementing observability, performance & reliability solutions: SLO, P99-95 latency, alert tuning, & dashboards.
  • Experience with AI observability/monitoring tools such as Dynatrace, Splunk, Arize & OpenTelemetry/OpenInference is must.
  • Proven experience with Google's Gemini Enterprise Agent platform is a plus.
  • Experience with GKE/Docker/Registry is a plus.
  • Proven experience in working with other cloud providers such as AWS cloud is a plus.
  • Experience with Automated Testing, Automated Deployments, Agile methodologies, Unit Testing, and Integration Testing tools.
  • Conversational UX/UI design (multi-turn chatbots) and Human-Agent-Interaction (HAI) is a plus.
  • Experience with IR, vector embedding, and Hybrid/Semantic search technologies.
  • Experience with LLM orchestration frameworks like Langchain, LlamaIndex, LangSmith, LangGraph, Google Agent Development Kit, is a plus.
  • Experience with Generative AI Guardrails, responsible AI, adversarial attack mitigation, and red teaming is a plus.
  • Foundational understanding of Natural Language Processing and Deep Learning.
  • Excellent problem-solving skills and the ability to work in a collaborative team environment.
  • Excellent communication skills.

This role can have a Hybrid or Remote work arrangement. Candidates who live near one of our office locations (Hartford, CT, Charlotte, NC, Chicago, IL, Columbus, OH) 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.
Candidates 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 - $220,000
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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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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