AI Data Engineer Visa Sponsorship Jobs in Connecticut
Connecticut's AI data engineer job market is anchored by financial services firms in Stamford, insurance and healthcare technology companies in Hartford, and defense contractors like Raytheon and Pratt & Whitney across the state. Major employers including UnitedHealth Group and Synchrony Financial have sponsored work visas for data engineering roles, making Connecticut a viable destination for international candidates.
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Get Access To All JobsINTRODUCTION
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.
What We’re Building
The Hartford is launching a strategic initiative to build AI-enabled Data Engineering pipeline products—shared services that will empower all data products, domains, and business units. This platform will leverage Google Cloud Platform (GCP) AI tooling to deliver scalable, secure, and innovative data solutions. Our goal is to accelerate developer and data engineer productivity with automation driving enterprise-wide value and operational excellence.
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. 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.
MAIN JOB FUNCTIONS
- Architect the Future: Define and drive the technical vision, architecture, and roadmap for a next-generation, AI-powered data pipeline platform.
- Lead & Inspire: Provide technical leadership and mentorship to engineering teams, fostering a culture of innovation, collaboration, and continuous improvement.
- Hands-On Solutioning: Balance architecture leadership with hands-on prototyping and solution delivery, ensuring robust, cloud-native, and event-driven designs.
- Cross-Functional Collaboration: Work closely with business stakeholders, data scientists, and platform architects to translate business needs into robust technical solutions.
- Promote Best Practices: Embed DevSecOps, DataOps, and agile methodologies into all aspects of platform development and delivery.
- Drive Innovation: Evaluate emerging technologies, conduct workshops and proof-of-concepts, and champion the adoption of Agentic AI frameworks for workflow automation and developer productivity.
REQUIREMENTS
- Experience: 10+ years as a Senior Software/Data Engineer or Software/Data Architect in large-scale, enterprise transformation programs. Proven track record architecting and building scalable, cloud-native solutions using GenAI, machine learning, and advanced analytics along with AgenticAI experience.
Technical Expertise:
- Deep knowledge of GCP, AWS, and multi-cloud ecosystems.
- VertexAI, Snowflake Cortex AI, Python, Streamlit, React experience.
- Experience with AgenticAI frameworks.
- Proficiency with Infrastructure-as-Code (Terraform, CloudFormation), microservices, API management, and event-driven architectures.
- Familiarity with observability tools (Splunk, Dynatrace) and secure deployment practices.
- GenAI-driven test automation and CI/CD pipelines (Jenkins, GitHub Actions, Docker/OpenShift).
Leadership: Demonstrated ability to lead, mentor, and inspire technical teams.
Certifications: Google Professional Cloud Architect, AWS Certified Solutions Architect – Professional (preferred).
Soft Skills: Strategic thinker, excellent communicator, and advocate for ethical AI governance.
Preferred: Knowledge of the insurance industry and experience with data integration tools (Informatica, Talend), data platforms (Oracle, Snowflake, S3, RDS), and data management (cataloging, lineage, quality, MDM).
WHY JOIN US?
- Lead a high-impact initiative at the intersection of AI, data engineering, and cloud technology.
- Shape the future of data-driven decision-making for all business units at The Hartford.
- Collaborate with top talent in a culture that values innovation, growth, and technical excellence.
- Enjoy opportunities for professional development, mentorship, and career advancement.
READY TO ARCHITECT THE FUTURE OF AI AND DATA AT THE HARTFORD? Apply now and help us build a platform that will power the entire enterprise!
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
INTRODUCTION
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.
What We’re Building
The Hartford is launching a strategic initiative to build AI-enabled Data Engineering pipeline products—shared services that will empower all data products, domains, and business units. This platform will leverage Google Cloud Platform (GCP) AI tooling to deliver scalable, secure, and innovative data solutions. Our goal is to accelerate developer and data engineer productivity with automation driving enterprise-wide value and operational excellence.
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. 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.
MAIN JOB FUNCTIONS
- Architect the Future: Define and drive the technical vision, architecture, and roadmap for a next-generation, AI-powered data pipeline platform.
- Lead & Inspire: Provide technical leadership and mentorship to engineering teams, fostering a culture of innovation, collaboration, and continuous improvement.
- Hands-On Solutioning: Balance architecture leadership with hands-on prototyping and solution delivery, ensuring robust, cloud-native, and event-driven designs.
- Cross-Functional Collaboration: Work closely with business stakeholders, data scientists, and platform architects to translate business needs into robust technical solutions.
- Promote Best Practices: Embed DevSecOps, DataOps, and agile methodologies into all aspects of platform development and delivery.
- Drive Innovation: Evaluate emerging technologies, conduct workshops and proof-of-concepts, and champion the adoption of Agentic AI frameworks for workflow automation and developer productivity.
REQUIREMENTS
- Experience: 10+ years as a Senior Software/Data Engineer or Software/Data Architect in large-scale, enterprise transformation programs. Proven track record architecting and building scalable, cloud-native solutions using GenAI, machine learning, and advanced analytics along with AgenticAI experience.
Technical Expertise:
- Deep knowledge of GCP, AWS, and multi-cloud ecosystems.
- VertexAI, Snowflake Cortex AI, Python, Streamlit, React experience.
- Experience with AgenticAI frameworks.
- Proficiency with Infrastructure-as-Code (Terraform, CloudFormation), microservices, API management, and event-driven architectures.
- Familiarity with observability tools (Splunk, Dynatrace) and secure deployment practices.
- GenAI-driven test automation and CI/CD pipelines (Jenkins, GitHub Actions, Docker/OpenShift).
Leadership: Demonstrated ability to lead, mentor, and inspire technical teams.
Certifications: Google Professional Cloud Architect, AWS Certified Solutions Architect – Professional (preferred).
Soft Skills: Strategic thinker, excellent communicator, and advocate for ethical AI governance.
Preferred: Knowledge of the insurance industry and experience with data integration tools (Informatica, Talend), data platforms (Oracle, Snowflake, S3, RDS), and data management (cataloging, lineage, quality, MDM).
WHY JOIN US?
- Lead a high-impact initiative at the intersection of AI, data engineering, and cloud technology.
- Shape the future of data-driven decision-making for all business units at The Hartford.
- Collaborate with top talent in a culture that values innovation, growth, and technical excellence.
- Enjoy opportunities for professional development, mentorship, and career advancement.
READY TO ARCHITECT THE FUTURE OF AI AND DATA AT THE HARTFORD? Apply now and help us build a platform that will power the entire enterprise!
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
AI Data Engineer Job Roles in Connecticut
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Search AI Data Engineer Jobs in ConnecticutAI Data Engineer Jobs in Connecticut: Frequently Asked Questions
Which companies in Connecticut sponsor visas for AI data engineers?
Financial services and insurance companies are among the most active sponsors in Connecticut. Firms like Synchrony Financial, UnitedHealth Group, and Cigna have filed Labor Condition Applications for data engineering roles. Defense and aerospace employers such as Raytheon Technologies and Pratt & Whitney also hire for technically specialized AI and data positions. Sponsorship availability varies by role, team budget, and hiring cycle, so confirming directly with each employer is important.
What visa types are most common for AI data engineers in Connecticut?
The H-1B is the most common visa category for AI data engineers in Connecticut, as these roles typically qualify as specialty occupations requiring at least a bachelor's degree in computer science, data science, or a related field. Some candidates already holding L-1B intracompany transferee status or O-1A extraordinary ability visas also work in the state. Employers filing Labor Condition Applications with the Department of Labor is a standard step in the H-1B process.
How to find ai data engineer visa sponsorship jobs in Connecticut?
Migrate Mate filters job listings specifically for visa sponsorship eligibility, making it easier to identify AI data engineer roles in Connecticut without sifting through postings that don't offer sponsorship. You can search by role and state to surface relevant openings from employers in Stamford, Hartford, and other Connecticut hubs. Migrate Mate focuses on internationally mobile candidates, so the listings are curated with work authorization requirements in mind.
Which cities in Connecticut have the most AI data engineer sponsorship jobs?
Stamford is the most active market for AI data engineering sponsorship in Connecticut, driven by its concentration of financial services, fintech, and media companies. Hartford is a strong secondary market due to its insurance and healthcare technology sector, with employers like Cigna and Aetna headquartered there. New Haven also generates demand through Yale University's research partnerships and affiliated biotech and data science ventures.
Are there any state-specific considerations for AI data engineers seeking sponsorship in Connecticut?
Connecticut's AI data engineering demand is heavily shaped by its financial services and insurance industries, which means many roles require familiarity with compliance-heavy data environments and regulated data pipelines. The state's Department of Labor sets prevailing wage benchmarks that sponsored employers must meet for H-1B filings. Connecticut also benefits from proximity to New York City, meaning some employers maintain offices in both states and may file LCAs covering worksite locations in either.
What is the prevailing wage for sponsored ai data engineer jobs in Connecticut?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.
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