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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Who Are We?
Taking care of our customers, our communities and each other. That’s the Travelers Promise. By honoring this commitment, we have maintained our reputation as one of the best property casualty insurers in the industry for over 170 years. Join us to discover a culture that is rooted in innovation and thrives on collaboration. Imagine loving what you do and where you do it.
Compensation Overview
The annual base salary range provided for this position is a nationwide market range and represents a broad range of salaries for this role across the country. The actual salary for this position will be determined by a number of factors, including the scope, complexity and location of the role; the skills, education, training, credentials and experience of the candidate; and other conditions of employment. As part of our comprehensive compensation and benefits program, employees are also eligible for performance-based cash incentive awards.
Salary Range
$139,400.00 - $230,000.00
Target Openings
1
What Is the Opportunity?
Travelers Data Engineering team constructs pipelines that contextualize and provide easy access to data by the entire enterprise. As a Senior Data Engineer you will accelerate growth and transformation of our analytics landscape. You will bring a strong desire to guide team members' growth and develop data solutions that translate complex data into user-friendly terminology. You will leverage your ability to design, build and deploy data solutions that capture, explore, transform, and utilize data to support Artificial Intelligence, Machine Learning and business intelligence/insights.
What Will You Do?
- Build and operationalize complex data solutions, correct problems, apply transformations, and recommending data cleansing/quality solutions.
- Design complex data solutions, including incorporating new data sources and ensuring designs are consistent across projects and aligned to data strategies.
- Perform analysis of complex sources to determine value and use and recommend data to include in analytical processes.
- Incorporate core data management competencies including data governance, data security and data quality.
- Act as a data and technology subject matter expert within lines of business to support delivery and educate end users on data products/analytic environment.
- Perform data and system analysis, assessment and resolution for defects and incidents of high complexity and correct as appropriate.
- Collaborate across team to support delivery and educate end users on complex data products/analytic environment.
- Perform other duties as assigned.
What Will Our Ideal Candidate Have?
- Bachelor’s Degree in STEM related field or equivalent.
- Ten years of related experience.
- Expertise designing and building scalable, self-healing, cloud-native distributed compute data pipelines using AWS native services and/or Databricks as the primary compute and orchestration platform, loading into enterprise data platforms such as Snowflake.
- Hands-on experience building analytics pipelines using transformation frameworks such as dbt within framework-based, cloud-native pipeline architectures.
- Expertise designing and deploying production-grade, multi-agent AI applications using agent orchestration frameworks and runtimes such as AWS AgentCore or Databricks AgentBricks.
- Experience integrating structured and unstructured data sources through tool-calling patterns, including the Model Context Protocol (MCP), to surface actionable insights at scale.
- Strong foundational knowledge of large language model APIs, retrieval-augmented generation (RAG) patterns, vector databases, and embedding strategies, with the ability to apply these within multi-agent architectures to enable context-aware, data-grounded AI applications.
- Advanced knowledge of tools, techniques, and manipulation including cloud platforms, programming languages, and modern software engineering practices.
- Strong delivery skills including the ability to determine the software design strategy and methodology to be used for efforts, use automated tests, analysis, and informed feedback loops to ensure the quality and production readiness of work before release, monitor the health of work efforts and that of adjacent systems.
- Demonstrated track record of domain expertise including the ability to develop business partnerships and influence priorities by identifying solutions that are aligned with current business objective and closely follow industry trends relevant to domain, understanding how to apply them, and sharing knowledge with coworkers.
- Strong problem solver who utilizes data and proofs of concepts to find creative solutions to difficult problems involving a significant number of factors with broad implications, reflects on solutions, measures impact, and uses that information to ideate and optimize.
- Excellent communication skills with the ability to develop business partnerships, describe technology concepts in ways the business can understand, document initiatives in a concise and clear manner, and empathetically and attentively listen to others thoughts and ideas.
- Ability to lead and take action even when there is no clear owner, inspire and motivate others, and be effective at influencing team members.
What is a Must Have?
- Bachelor’s degree in computer science, related STEM field, or its equivalent in education and/or work experience.
- 6 additional years of data engineering experience.
What Is in It for You?
- Health Insurance: Employees and their eligible family members – including spouses, domestic partners, and children – are eligible for coverage from the first day of employment.
- Retirement: Travelers matches your 401(k) contributions dollar-for-dollar up to your first 5% of eligible pay, subject to an annual maximum. If you have student loan debt, you can enroll in the Paying it Forward Savings Program. When you make a payment toward your student loan, Travelers will make an annual contribution into your 401(k) account. You are also eligible for a Pension Plan that is 100% funded by Travelers.
- Paid Time Off: Start your career at Travelers with a minimum of 20 days Paid Time Off annually, plus nine paid company Holidays.
- Wellness Program: The Travelers wellness program is comprised of tools, discounts and resources that empower you to achieve your wellness goals and caregiving needs. In addition, our mental health program provides access to free professional counseling services, health coaching and other resources to support your daily life needs.
- Volunteer Encouragement: We have a deep commitment to the communities we serve and encourage our employees to get involved. Travelers has a Matching Gift and Volunteer Rewards program that enables you to give back to the charity of your choice.
Employment Practices
Travelers is an equal opportunity employer. We value the unique abilities and talents each individual brings to our organization and recognize that we benefit in numerous ways from our differences.
In accordance with local law, candidates seeking employment in Colorado are not required to disclose dates of attendance at or graduation from educational institutions.
If you are a candidate and have specific questions regarding the physical requirements of this role, please send us an email so we may assist you.
Travelers reserves the right to fill this position at a level above or below the level included in this posting.
To learn more about our comprehensive benefit programs please visit http://careers.travelers.com/life-at-travelers/benefits/.
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 visa 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.