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Remote Automation Developer Jobs in Connecticut (NOW HIRING)

The Hartford

Data & AI Delivery Lead

Hartford, CT · On-site +1

$156K - $234K/yr

Dir Data Engineering - GE06AE We're determined to make a difference and are proud to be an ... Drive the culture of Innovative ideas to improve productivity, quality through GenAI, automation ...

Deloitte

System Test and Validation Lead

Hartford, CT · On-site +1

Validate AI/ML-enabled GxP systems and automation testing frameworks, including development of ... Bachelor's degree in business, information systems, computer science, engineering, or equivalent ...

Deloitte

System Test and Validation Lead

Hartford, CT · On-site +1

Validate AI/ML-enabled GxP systems and automation testing frameworks, including development of ... Bachelor's degree in business, information systems, computer science, engineering, or equivalent ...

Deloitte

System Test and Validation Lead

Stamford, CT · On-site +1

Validate AI/ML-enabled GxP systems and automation testing frameworks, including development of ... Bachelor's degree in business, information systems, computer science, engineering, or equivalent ...

Deloitte

System Test and Validation Lead

Hartford, CT · On-site +1

Validate AI/ML-enabled GxP systems and automation testing frameworks, including development of ... Bachelor's degree in business, information systems, computer science, engineering, or equivalent ...

Deloitte

System Test and Validation Lead

Stamford, CT · On-site +1

Validate AI/ML-enabled GxP systems and automation testing frameworks, including development of ... Bachelor's degree in business, information systems, computer science, engineering, or equivalent ...

Deloitte

System Test and Validation Lead

Stamford, CT · On-site +1

Validate AI/ML-enabled GxP systems and automation testing frameworks, including development of ... Bachelor's degree in business, information systems, computer science, engineering, or equivalent ...

Crane Company

SOC Lead (Remote or Onsite)

Stamford, CT · On-site +1

You will customize, develop, and implement the automation of security playbooks using APIs, various scripting methods and programming languages, and provide analytical techniques to build and support ...

Finalsite

Senior Database Administrator

Glastonbury, CT · On-site +1

$135K - $165K/yr

LOCATION 100% Remote - Anywhere within the US DUTIES & RESPONSIBILITIES * Database Expertise: Be an ... Mentor developers and build tooling that helps the entire team write and deploy better code and ...

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Remote Automation Developer information

What is a remote automation developer?

A Remote Automation Developer is a professional who designs, develops, and maintains automated systems, scripts, or tools to streamline business processes, all while working remotely. They typically use programming languages and automation frameworks to create solutions that minimize manual intervention and improve efficiency. These developers often collaborate with teams through digital communication tools and may work across various industries, such as software development, IT operations, or business process automation.

What are the key skills and qualifications needed to thrive as a remote automation developer?

To thrive as a Remote Automation Developer, you need expertise in programming languages (such as Python, Java, or JavaScript), a solid understanding of automation frameworks, and experience with software development best practices, often supported by a degree in computer science or related certifications. Familiarity with automation tools like Selenium, Jenkins, or UiPath, and version control systems such as Git is typically required. Strong problem-solving skills, self-motivation, and clear communication are vital soft skills for collaborating effectively in a remote environment. These skills enable efficient automation of processes, reliable delivery of projects, and seamless teamwork across distributed teams.

What are some common challenges faced by remote automation developers, and how can they be addressed?

Remote Automation Developers often encounter challenges such as collaborating across different time zones, ensuring clear communication with distributed teams, and maintaining secure access to development environments. Overcoming these challenges typically involves using robust collaboration tools, establishing regular check-ins, and adhering to best practices for remote security and documentation. Building strong relationships with team members and proactively clarifying project requirements can also greatly enhance productivity and project outcomes.

What job categories do people searching Remote Automation Developer jobs in Connecticut look for?

The top searched job categories for Remote Automation Developer jobs in Connecticut are:

What cities in Connecticut are hiring for Remote Automation Developer jobs?

Cities in Connecticut with the most Remote Automation Developer job openings:

Remote Automation Developer jobs near you
Infographic showing various Remote Automation Developer job openings in Connecticut as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution.

Knowledge Graph Engineer / Ontologist

The Hartford Financial Services Group, Inc.

Hartford, CT • On-site, Remote

Full-time

Re-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

57th of 309 rated insurance

Job description

Dir Data Engineering - GE06AE
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 Ontologist (Knowledge Graph Engineer) is responsible for designing, implementing, and operationalizing enterprise semantic models, ontologies, and knowledge representations that provide meaning, context, and explainability for AI-driven analytics, agentic systems, and decision automation.
This role ensures that business concepts, entities, relationships, and behaviors are explicitly modeled and consistently applied across data products and AI systems, enabling reuse, trust, reasoning, and scalable AI adoption across Customer, Operations, and Enterprise domains. This role is part of the Customer Data Ecosystem (CDE) and operates at the intersection of business semantics, data architecture, and AI enablement, translating complex domain knowledge into production-ready semantic assets that are consumable by both humans and machines.
This role can have a Hybrid or Remote work schedule. 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. Candidates must be eligible to work in the US without company sponsorship.
Primary Job Responsibilities
  • Lead the design and execution of enterprise-scale semantic layers to standardize business meaning and enable trusted analytics, AI, and Agentic use cases.
  • Define and operationalize ontologies, context graphs, and knowledge graphs across domains to power reasoning, explainability, and decision intelligence.
  • Enable semantic-first AI and Agentic analytics, ensuring LLMs and agents can consume governed business context, metrics, and rules.
  • Define canonical semantic vocabularies that standardize meaning across structured and unstructured data sources.
  • Drive production-scale execution of semantic and knowledge platforms with strong standards for performance, governance, security, and lifecycle management.
  • Evangelize Agentic Data Engineering, driving adoption through patterns, playbooks, and real-world deployments across the enterprise.
  • Define and promote standards and best practices for semantic modeling and ontology reuse across delivery teams.
  • Partner with architects and engineers to embed semantic models into data products, AI pipelines, and activation layers.
  • Work closely with AI Data Architects and AI Data Engineers to operationalize ontologies into production systems (e.g., via graphs, metadata services, APIs).
  • Align ontologies with enterprise data governance, lineage, and quality standards.
  • Enable explainability by ensuring AI outputs can be traced back to governed semantic definitions.
  • Serve as the enterprise authority on semantic engineering and ontology practices.
  • Contribute to communities of practice, reference guidance, and internal enablement materials.

Skills & Experience
  • 8-12+ years of hands-on experience in semantic layer architecture, ontology modeling, and knowledge graph design at enterprise scale.
  • Deep, hands-on expertise with RDF, OWL (OWL2), RDFS, SKOS, SPARQL (querying, optimization, semantic analytics), and W3C semantic web standards
  • Proven experience designing and operating knowledge graphs at enterprise scale
  • Hands-on experience with graph or triple-store technologies (e.g., Neo4j, Neptune, TigerGraph, Spanner Graph)
  • Experience integrating knowledge graphs with LLMs, RAG pipelines, vector stores, and Agentic frameworks.
  • Strong understanding of AI consumption patterns, including embeddings, grounding, and explainability
  • Experience integrating semantic layers with data platforms, APIs, metadata systems, and AI pipelines
  • Ability to translate complex domain knowledge into formal, machine-readable semantic structures
  • Strong understanding of context-aware data engineering and semantic interoperability.
  • Proven ability to move from strategy → pilot → scaled enterprise capability.
  • Strong executive influence and thought leadership in Agentic analytics and AI-native data engineering.
  • Hands-on experience with AWS, GCP, and Snowflake
  • Excellent communication, presentation, and leadership skills.

Education, Certifications and Licenses
  • Bachelor's or Master's degree in Computer Science, Engineering, or related field, or equivalent work experience.

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:
$156,000 - $234,000
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

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Hartford logo

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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