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Remote Test Engineer Jobs in Connecticut (NOW HIRING)

... DevOps, Jenkins), automated build/test, code signing, and artifact management. * Orchestrate TestFlight, Play Console, phased rollouts, feature gating (Firebase Remote Config/LaunchDarkly), and ...

Design reviews with Engineering and Suppliers * Cast source selection and capabilities to ... Pressure Test, NDT inspection, Weld Repair...etc.) * Support Material Review Board (MRB) decisions

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Remote Test Engineer information

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$16

$42

$71

How much do remote test engineer jobs pay per hour?

As of Jun 28, 2026, the average hourly pay for remote test engineer in Connecticut is $42.09, according to ZipRecruiter salary data. Most workers in this role earn between $31.78 and $49.86 per hour, depending on experience, location, and employer.

Are test engineers in demand?

Test engineers are in high demand across various industries due to the increasing importance of quality assurance in software and hardware development. Employers seek professionals skilled in automation tools, scripting, and testing frameworks to ensure product reliability and performance, often requiring certifications and experience with tools like Selenium or JUnit.

Do QA engineers make good money?

QA engineers, including remote test engineers, typically earn competitive salaries that vary based on experience, location, and industry. Entry-level positions may start lower, while experienced professionals with skills in automation tools and certifications can command higher pay. Overall, QA engineering is considered a well-paying field within the tech industry.

How does a Remote Test Engineer typically collaborate with development teams to ensure product quality?

As a Remote Test Engineer, collaboration with development teams is often facilitated through online communication tools, daily stand-ups, and shared project management platforms. Test Engineers are responsible for designing and executing test plans, reporting bugs, and providing feedback to developers in real time. Effective communication and documentation are key, as clear bug reports and test results help bridge the distance and reduce misunderstandings. Expect to work closely with both developers and product managers to proactively identify issues and ensure releases meet quality standards.

What is a Remote Test Engineer?

A Remote Test Engineer is a professional who designs, develops, and executes tests to ensure the quality of software products, but works from a location outside the traditional office, often from home. Their responsibilities include creating test cases, identifying bugs, collaborating with development teams, and ensuring that software meets specified requirements. Remote Test Engineers use various tools to communicate and manage their work, ensuring effective teamwork despite geographic distance. This role typically requires strong analytical skills, attention to detail, and proficiency in automated and manual testing techniques.

What engineers make $500,000?

Senior engineers in specialized fields such as software, aerospace, or petroleum engineering can earn $500,000 or more annually, especially with extensive experience, advanced skills, and leadership roles. High compensation often involves bonuses, stock options, or profit sharing, particularly in tech companies or industries with high demand for expertise.

What is the difference between Remote Test Engineer vs Remote QA Analyst?

AspectRemote Test EngineerRemote QA Analyst
Required CredentialsBachelor's in Computer Science or related field, testing certifications (e.g., ISTQB)Bachelor's in IT, Computer Science, or related, with QA certifications
Work EnvironmentRemote, collaborative with development teams, Agile/ScrumRemote, often cross-functional teams, Agile/Scrum
Industry UsageSoftware development, tech companies, startupsSoftware, web applications, tech firms
Common Search/ComparisonYesYes

Remote Test Engineers focus on designing and executing test plans, automation, and ensuring software quality. Remote QA Analysts typically perform manual testing, analyze quality metrics, and support testing processes. Both roles require similar certifications and work environments, often overlapping in tech industries. The main difference lies in the scope: Test Engineers often handle automation and scripting, while QA Analysts focus on manual testing and quality analysis.

What are the key skills and qualifications needed to thrive as a Remote Test Engineer, and why are they important?

To thrive as a Remote Test Engineer, you need strong analytical skills, experience in software testing methodologies, and a background in computer science or a related field. Familiarity with automation tools like Selenium, JIRA, and CI/CD platforms, as well as relevant certifications such as ISTQB, is typically required. Excellent communication, problem-solving, and self-motivation skills help you collaborate effectively and manage tasks independently in a remote environment. These skills ensure reliable software quality, efficient teamwork, and productivity without in-person supervision.

Can a QA engineer work remotely?

Yes, QA engineers can work remotely, as many companies offer remote testing roles that involve tasks such as writing test cases, executing tests, and using automation tools. Remote work for QA engineers often requires strong communication skills and familiarity with testing software and collaboration platforms.
What are the most commonly searched types of Test Engineer jobs in Connecticut? The most popular types of Test Engineer jobs in Connecticut are:
What are popular job titles related to Remote Test Engineer jobs in Connecticut? For Remote Test Engineer jobs in Connecticut, the most frequently searched job titles are:
What job categories do people searching Remote Test Engineer jobs in Connecticut look for? The top searched job categories for Remote Test Engineer jobs in Connecticut are:
What cities in Connecticut are hiring for Remote Test Engineer jobs? Cities in Connecticut with the most Remote Test Engineer job openings:
Infographic showing various Remote Test Engineer job openings in Connecticut as of June 2026, with employment types broken down into 96% Full Time, 1% Part Time, and 3% Contract. Highlights an 37% Physical, 2% Hybrid, and 61% Remote job distribution, with an average salary of $87,544 per year, or $42.1 per hour.
Knowledge Graph Engineer / Ontologist

Knowledge Graph Engineer / Ontologist

The Hartford Financial Services Group, Inc.

Hartford, CT • On-site, Remote

Full-time

Posted 3 days ago


The Hartford rating

8.8

Company rating: 8.8 out of 10

Based on 109 frontline employees who took The Breakroom Quiz

51st of 263 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

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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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