Insurance Jobs in New Hampshire with H-1B Sponsorship
New Hampshire's insurance sector is anchored by major employers like Liberty Mutual, Anthem, and MetLife, with hiring concentrated in Manchester and Concord. H-1B sponsorship in this industry typically targets actuarial, data analytics, underwriting, and technology roles. Competition is real, but qualified international candidates with specialized skills find genuine opportunities in the state's growing insurance market.
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Get Access To All JobsINTRODUCTION
You will support Data Science and Engineering teams by automating CI/CD pipelines and managing multi-cloud infrastructure for ML production. You will develop reusable, configuration-driven frameworks to improve data pipelines while collaborating across a diverse DevOps culture to evolve enterprise-scale big data applications.
You will report to a Senior Manager, Engineering.
You will be expected to work a minimum of 10 days per month from the office. Candidates should reside within approximately 35-50 miles of one of the following office locations: Madison, WI 53783; Boston, MA 02110; Denver, CO 80112; Eden Prairie, MN 55343; Keene, NH 03431; St. Joseph, MO 64507; Phoenix, AZ 85034.
Internal candidates are encouraged to apply regardless of location and will be considered based upon the needs of the role.
LI-Hybrid
Candidates who require sponsorship will not be considered for this position.
COMPENSATION
- Position Compensation Range: $80,000.00 - $131,000.00
- Pay Rate Type: Salary
Compensation may vary based on the job level and your geographic work location. Relocation support is offered for eligible candidates.
Responsibilities:
- You will support Data Engineering and Data Science Teams, which includes application development support (Java, Python, etc.) for deployment of multi-cloud big-data applications and Machine Learning use cases. Engineers in this role are expected to focus on automation of deployment and integration tasks (CI/CD) and to drive cloud infrastructure management and automation. The role brings the opportunity to work in a diverse Data Engineering and ML space, and to grow into that role in keeping with the team's DevOps culture.
- Candidates are passionate about designing and developing in a fast-paced, agile, small-team environment. Engineers work to build out ML integrations and deployment automation pipelines and work closely with Data Scientists to bring models into production. The work also includes data engineering work to create efficient and well-managed training and serving environments. The ideal candidate is an innovative problem solver with demonstrable success using a variety of open-source and cloud-native technologies, a highly team-oriented attitude, and a focus on framework-oriented, configuration-driven and highly reusable design approaches.
- Supports Cloud/Big Data Engineers in coding and integrating data pipelines for automated deployment.
- Evaluates new tools and approaches to continuously evolve the team's DevOps practice.
- Collaborates with DevOps, Data Engineering and Data Science teams in the Enterprise.
- Collaborate with Data Scientists and the current team in building out Agentic Frameworks.
REQUIREMENTS
- 4+ years developing in an Object-Oriented Programming language (Java preferred)
- 3+ years developing in Python (may be combined with the above requirement, if Python experience is strictly OO coding)
- Familiarity with specialized scripting/SDKs related to data management (e.g.: Boto3, PySpark)
- Familiarity with key file formats: JSON, YAML, AVRO, Parquet
- 2+ years working in Public Cloud environments (AWS or GCP required, others desirable)
- Strong familiarity with GCP environment
- 2+ years working in Linux environments
- 2+ years in Integration Engineering, CI/CD or related field
- Practical experience setting up build pipelines
- 2+ years working with GIT and other SCM
- Experience with containerization frameworks (Kubernetes, Docker)
- Experience with REST web-services frameworks (e.g.: Spring Boot, Flask, Rails)
- Your offer will be made contingent on the results of applicable background checks and is contingent on signing a non-disclosure agreement for proprietary information, trade secrets, and inventions.
ADDITIONAL INFORMATION
- Offer to selected candidate will be made contingent on the results of applicable background checks
- Offer to selected candidate is contingent on signing a non-disclosure agreement for proprietary information, trade secrets, and inventions
- Sponsorship will not be considered for this position unless specified in the posting
We provide benefits that support your physical, emotional, and financial wellbeing. You will have access to comprehensive medical, dental, vision and wellbeing benefits that enable you to take care of your health. We also offer a competitive 401(k) contribution, a pension plan, an annual incentive, 9 paid holidays and a paid time off program (23 days accrued annually for full-time employees). In addition, our student loan repayment program and paid-family leave are available to support our employees and their families. Interns and contingent workers are not eligible for American Family Insurance Group benefits.
We are an equal opportunity employer. It is our policy to comply with all applicable federal, state and local laws pertaining to non-discrimination, non-harassment and equal opportunity. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law.
American Family Insurance is committed to the full inclusion of all qualified individuals. If a reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please email AskHR@AmFam.com to request a reasonable accommodation.
LI-DB1
INTRODUCTION
You will support Data Science and Engineering teams by automating CI/CD pipelines and managing multi-cloud infrastructure for ML production. You will develop reusable, configuration-driven frameworks to improve data pipelines while collaborating across a diverse DevOps culture to evolve enterprise-scale big data applications.
You will report to a Senior Manager, Engineering.
You will be expected to work a minimum of 10 days per month from the office. Candidates should reside within approximately 35-50 miles of one of the following office locations: Madison, WI 53783; Boston, MA 02110; Denver, CO 80112; Eden Prairie, MN 55343; Keene, NH 03431; St. Joseph, MO 64507; Phoenix, AZ 85034.
Internal candidates are encouraged to apply regardless of location and will be considered based upon the needs of the role.
LI-Hybrid
Candidates who require sponsorship will not be considered for this position.
COMPENSATION
- Position Compensation Range: $80,000.00 - $131,000.00
- Pay Rate Type: Salary
Compensation may vary based on the job level and your geographic work location. Relocation support is offered for eligible candidates.
Responsibilities:
- You will support Data Engineering and Data Science Teams, which includes application development support (Java, Python, etc.) for deployment of multi-cloud big-data applications and Machine Learning use cases. Engineers in this role are expected to focus on automation of deployment and integration tasks (CI/CD) and to drive cloud infrastructure management and automation. The role brings the opportunity to work in a diverse Data Engineering and ML space, and to grow into that role in keeping with the team's DevOps culture.
- Candidates are passionate about designing and developing in a fast-paced, agile, small-team environment. Engineers work to build out ML integrations and deployment automation pipelines and work closely with Data Scientists to bring models into production. The work also includes data engineering work to create efficient and well-managed training and serving environments. The ideal candidate is an innovative problem solver with demonstrable success using a variety of open-source and cloud-native technologies, a highly team-oriented attitude, and a focus on framework-oriented, configuration-driven and highly reusable design approaches.
- Supports Cloud/Big Data Engineers in coding and integrating data pipelines for automated deployment.
- Evaluates new tools and approaches to continuously evolve the team's DevOps practice.
- Collaborates with DevOps, Data Engineering and Data Science teams in the Enterprise.
- Collaborate with Data Scientists and the current team in building out Agentic Frameworks.
REQUIREMENTS
- 4+ years developing in an Object-Oriented Programming language (Java preferred)
- 3+ years developing in Python (may be combined with the above requirement, if Python experience is strictly OO coding)
- Familiarity with specialized scripting/SDKs related to data management (e.g.: Boto3, PySpark)
- Familiarity with key file formats: JSON, YAML, AVRO, Parquet
- 2+ years working in Public Cloud environments (AWS or GCP required, others desirable)
- Strong familiarity with GCP environment
- 2+ years working in Linux environments
- 2+ years in Integration Engineering, CI/CD or related field
- Practical experience setting up build pipelines
- 2+ years working with GIT and other SCM
- Experience with containerization frameworks (Kubernetes, Docker)
- Experience with REST web-services frameworks (e.g.: Spring Boot, Flask, Rails)
- Your offer will be made contingent on the results of applicable background checks and is contingent on signing a non-disclosure agreement for proprietary information, trade secrets, and inventions.
ADDITIONAL INFORMATION
- Offer to selected candidate will be made contingent on the results of applicable background checks
- Offer to selected candidate is contingent on signing a non-disclosure agreement for proprietary information, trade secrets, and inventions
- Sponsorship will not be considered for this position unless specified in the posting
We provide benefits that support your physical, emotional, and financial wellbeing. You will have access to comprehensive medical, dental, vision and wellbeing benefits that enable you to take care of your health. We also offer a competitive 401(k) contribution, a pension plan, an annual incentive, 9 paid holidays and a paid time off program (23 days accrued annually for full-time employees). In addition, our student loan repayment program and paid-family leave are available to support our employees and their families. Interns and contingent workers are not eligible for American Family Insurance Group benefits.
We are an equal opportunity employer. It is our policy to comply with all applicable federal, state and local laws pertaining to non-discrimination, non-harassment and equal opportunity. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law.
American Family Insurance is committed to the full inclusion of all qualified individuals. If a reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please email AskHR@AmFam.com to request a reasonable accommodation.
LI-DB1
Job Roles in Insurance in New Hampshire
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Get Access To All JobsFrequently Asked Questions
Which insurance companies in New Hampshire sponsor H-1B visas?
Liberty Mutual has a significant presence in New Hampshire and has historically filed H-1B petitions for technology and analytics roles. Anthem, Cigna, and smaller regional carriers operating in the state have also sponsored H-1B workers. Sponsorship decisions vary by role, department, and hiring cycle, so it is worth researching each employer's recent LCA filings through the Department of Labor's public disclosure database.
Which cities in New Hampshire have the most insurance H-1B sponsorship jobs?
Manchester is the largest city in New Hampshire and the primary hub for insurance employment in the state, with the highest concentration of corporate offices and regional operations centers. Concord, as the state capital, also hosts insurance carriers and regulatory bodies that occasionally hire sponsored workers. Nashua, near the Massachusetts border, attracts insurance professionals who work in broader New England regional roles.
What types of insurance roles typically qualify for H-1B sponsorship in New Hampshire?
H-1B sponsorship in insurance is most common for roles that require at least a bachelor's degree in a specific technical field. Actuaries, data scientists, software engineers supporting insurance platforms, financial analysts, and underwriting analysts are among the positions employers most often sponsor. General claims adjusting or customer service roles typically do not meet the specialty occupation standard required for H-1B classification.
How do I find insurance H-1B sponsorship jobs in New Hampshire?
Migrate Mate is built specifically for international job seekers and filters insurance roles in New Hampshire that are open to H-1B sponsorship, saving you from sorting through listings that do not apply to your situation. Beyond using Migrate Mate, reviewing employers' published H-1B LCA filings gives you a verifiable picture of which New Hampshire insurance companies have recently sponsored workers in roles similar to yours.
Are there any state-specific considerations for H-1B sponsorship in New Hampshire's insurance industry?
New Hampshire does not impose state-level visa sponsorship requirements, so H-1B sponsorship follows federal USCIS rules. However, insurance carriers in the state are regulated by the New Hampshire Insurance Department, and roles involving licensed insurance activities may require candidates to obtain a state insurance license separately from the visa process. Licensing timelines and requirements are worth discussing with any prospective employer during the offer stage.
What is the prevailing wage for H-1B insurance jobs in New Hampshire?
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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