Data Science Engineer Visa Sponsorship Jobs in New Hampshire
New Hampshire's data science engineer job market is anchored by technology and financial services employers in Manchester and Nashua, with additional demand from defense contractors and healthcare organizations along the I-93 corridor. Companies like BAE Systems, Anthem, and Fidelity Investments have a track record of sponsoring skilled technical workers for roles requiring advanced data engineering expertise.
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Get Access To All JobsJob Summary
As a Senior Principal Data Analytics Engineer at BAE Systems, you will occupy a Mission Critical role at the intersection of software engineering, data analytics, and business intelligence. You will be responsible for supporting and implementing the technical vision for how we transform raw data into actionable insights, moving beyond simple pipelines to build sophisticated, production-grade analytics layers.
You will lead the transition toward a modern, self-hosted analytics infrastructure, ensuring that our data is not only accessible but also high-quality, governed, and ready for high-stakes decision-making. You will ensure that our data architecture adheres to stringent security protocols and regulatory requirements with a secure-by-design approach to data democratization.
Key Responsibilities
- Advanced Data Modeling: Design and maintain complex data models within a Medallion Architecture, specializing in the Silver and Gold layers to provide optimized datasets for end-user consumption.
- Analytics Transformation: Drive the implementation of dbt (data build tool) core on self-hosted environments (e.g., Postgres), emphasizing modularity, version control, and CI/CD best practices.
- Data Governance and Lineage: Establish and enforce strict data lineage and cataloging standards to ensure auditability and traceability of mission-critical KPIs.
- Strategy & Architecture: Collaborate with leadership to develop a comprehensive data strategy that balances technical debt with the rapid delivery of analytic value. Architect and deploy data tooling within secure, air-gapped, or hybrid-cloud environments, ensuring seamless updates and stability without constant external connectivity.
- Performance Optimization: Tune complex SQL queries and optimize data structures to handle large-scale datasets while maintaining cost-efficiency and performance. Optimize the ingestion and transformation of high-velocity telemetry or sensor data, bridging the gap between raw engineering data and executive business intelligence.
- Cross-Functional Leadership: Partner with Data Scientists and Business Analysts to understand their requirements and provide the "clean room" data environments they need to succeed.
- Mentorship & Standards: Serve as the technical authority for the analytics engineering team, establishing standards for Python-based automation and SQL documentation.
Required Education, Experience, & Skills
- Bachelor’s degree in a technical discipline (Computer Science, Engineering, Mathematics) or equivalent experience.
- 6+ years of professional experience in data or analytics engineering, with a proven track record of delivering end-to-end analytics solutions.
- Core Technical Stack:
- Expert SQL: Proficient in window functions, CTEs, and complex joins.
- Modern Data Stack: Proficient with dbt or similar transformation tool, including macros, packages, and custom testing.
- Experience implementing GitOps workflows (GitLab CI/Jenkins) or similar for data pipeline deployment.
- Experience with orchestration tools such as Airflow, Prefect, or Dagster, etc.
- Proven experience in implementing Data Quality (DQ) frameworks and automated testing (e.g., dbt-tests, Great Expectations, or similar).
- Environment: Experience managing data within Postgres, Snowflake, MySQL or similar relational databases.
Preferred Education, Experience, & Skills
- Experience with Medallion Architecture design patterns or similar.
- Knowledge of containerization (Docker/Kubernetes) for hosting data tools.
- Familiarity with the defense industry or government contracting data security requirements.
- Strong communication skills with the ability to explain complex technical architectures to non-technical stakeholders.
- Experience with Infrastructure as Code (Terraform or Pulumi) to manage self-hosted data infrastructure.
- Programming: Strong proficiency in Python for data manipulation and microservice integration.
Pay Information
Full-Time Salary Range: $132962 - $226035
Please note: This range is based on our market pay structures. However, individual salaries are determined by a variety of factors including, but not limited to: business considerations, local market conditions, and internal equity, as well as candidate qualifications, such as skills, education, and experience.
Employee Benefits: At BAE Systems, we support our employees in all aspects of their life, including their health and financial well-being. Regular employees scheduled to work 20+ hours per week are offered: health, dental, and vision insurance; health savings accounts; a 401(k) savings plan; disability coverage; and life and accident insurance. We also have an employee assistance program, a legal plan, and other perks including discounts on things like home, auto, and pet insurance. Our leave programs include paid time off, paid holidays, as well as other types of leave, including paid parental, military, bereavement, and any applicable federal and state sick leave. Employees may participate in the company recognition program to receive monetary or non-monetary recognition awards. Other incentives may be available based on position level and/or job specifics.
About BAE Systems Electronic Systems
BAE Systems, Inc. is the U.S. subsidiary of BAE Systems plc, an international defense, aerospace and security company which delivers a full range of products and services for air, land and naval forces, as well as advanced electronics, security, information technology solutions and customer support services. Improving the future and protecting lives is an ambitious mission, but it’s what we do at BAE Systems. Working here means using your passion and ingenuity where it counts – defending national security with breakthrough technology, superior products, and intelligence solutions. As you develop the latest technology and defend national security, you will continually hone your skills on a team—making a big impact on a global scale. At BAE Systems, you’ll find a rewarding career that truly makes a difference. Electronic Systems (ES) is the global innovator behind BAE Systems’ game-changing defense and commercial electronics. Exploiting every electron, we push the limits of what is possible, giving our customers the edge and our employees opportunities to change the world. Our products and capabilities can be found everywhere – from the depths of the ocean to the far reaches of space. At our core are more than 14,000 highly talented Electronic Systems employees with the brightest minds in the industry, we make an impact – for our customers and the communities we serve.
This position will be posted for at least 5 calendar days. The posting will remain active until the position is filled, or a qualified pool of candidates is identified.
Job Summary
As a Senior Principal Data Analytics Engineer at BAE Systems, you will occupy a Mission Critical role at the intersection of software engineering, data analytics, and business intelligence. You will be responsible for supporting and implementing the technical vision for how we transform raw data into actionable insights, moving beyond simple pipelines to build sophisticated, production-grade analytics layers.
You will lead the transition toward a modern, self-hosted analytics infrastructure, ensuring that our data is not only accessible but also high-quality, governed, and ready for high-stakes decision-making. You will ensure that our data architecture adheres to stringent security protocols and regulatory requirements with a secure-by-design approach to data democratization.
Key Responsibilities
- Advanced Data Modeling: Design and maintain complex data models within a Medallion Architecture, specializing in the Silver and Gold layers to provide optimized datasets for end-user consumption.
- Analytics Transformation: Drive the implementation of dbt (data build tool) core on self-hosted environments (e.g., Postgres), emphasizing modularity, version control, and CI/CD best practices.
- Data Governance and Lineage: Establish and enforce strict data lineage and cataloging standards to ensure auditability and traceability of mission-critical KPIs.
- Strategy & Architecture: Collaborate with leadership to develop a comprehensive data strategy that balances technical debt with the rapid delivery of analytic value. Architect and deploy data tooling within secure, air-gapped, or hybrid-cloud environments, ensuring seamless updates and stability without constant external connectivity.
- Performance Optimization: Tune complex SQL queries and optimize data structures to handle large-scale datasets while maintaining cost-efficiency and performance. Optimize the ingestion and transformation of high-velocity telemetry or sensor data, bridging the gap between raw engineering data and executive business intelligence.
- Cross-Functional Leadership: Partner with Data Scientists and Business Analysts to understand their requirements and provide the "clean room" data environments they need to succeed.
- Mentorship & Standards: Serve as the technical authority for the analytics engineering team, establishing standards for Python-based automation and SQL documentation.
Required Education, Experience, & Skills
- Bachelor’s degree in a technical discipline (Computer Science, Engineering, Mathematics) or equivalent experience.
- 6+ years of professional experience in data or analytics engineering, with a proven track record of delivering end-to-end analytics solutions.
- Core Technical Stack:
- Expert SQL: Proficient in window functions, CTEs, and complex joins.
- Modern Data Stack: Proficient with dbt or similar transformation tool, including macros, packages, and custom testing.
- Experience implementing GitOps workflows (GitLab CI/Jenkins) or similar for data pipeline deployment.
- Experience with orchestration tools such as Airflow, Prefect, or Dagster, etc.
- Proven experience in implementing Data Quality (DQ) frameworks and automated testing (e.g., dbt-tests, Great Expectations, or similar).
- Environment: Experience managing data within Postgres, Snowflake, MySQL or similar relational databases.
Preferred Education, Experience, & Skills
- Experience with Medallion Architecture design patterns or similar.
- Knowledge of containerization (Docker/Kubernetes) for hosting data tools.
- Familiarity with the defense industry or government contracting data security requirements.
- Strong communication skills with the ability to explain complex technical architectures to non-technical stakeholders.
- Experience with Infrastructure as Code (Terraform or Pulumi) to manage self-hosted data infrastructure.
- Programming: Strong proficiency in Python for data manipulation and microservice integration.
Pay Information
Full-Time Salary Range: $132962 - $226035
Please note: This range is based on our market pay structures. However, individual salaries are determined by a variety of factors including, but not limited to: business considerations, local market conditions, and internal equity, as well as candidate qualifications, such as skills, education, and experience.
Employee Benefits: At BAE Systems, we support our employees in all aspects of their life, including their health and financial well-being. Regular employees scheduled to work 20+ hours per week are offered: health, dental, and vision insurance; health savings accounts; a 401(k) savings plan; disability coverage; and life and accident insurance. We also have an employee assistance program, a legal plan, and other perks including discounts on things like home, auto, and pet insurance. Our leave programs include paid time off, paid holidays, as well as other types of leave, including paid parental, military, bereavement, and any applicable federal and state sick leave. Employees may participate in the company recognition program to receive monetary or non-monetary recognition awards. Other incentives may be available based on position level and/or job specifics.
About BAE Systems Electronic Systems
BAE Systems, Inc. is the U.S. subsidiary of BAE Systems plc, an international defense, aerospace and security company which delivers a full range of products and services for air, land and naval forces, as well as advanced electronics, security, information technology solutions and customer support services. Improving the future and protecting lives is an ambitious mission, but it’s what we do at BAE Systems. Working here means using your passion and ingenuity where it counts – defending national security with breakthrough technology, superior products, and intelligence solutions. As you develop the latest technology and defend national security, you will continually hone your skills on a team—making a big impact on a global scale. At BAE Systems, you’ll find a rewarding career that truly makes a difference. Electronic Systems (ES) is the global innovator behind BAE Systems’ game-changing defense and commercial electronics. Exploiting every electron, we push the limits of what is possible, giving our customers the edge and our employees opportunities to change the world. Our products and capabilities can be found everywhere – from the depths of the ocean to the far reaches of space. At our core are more than 14,000 highly talented Electronic Systems employees with the brightest minds in the industry, we make an impact – for our customers and the communities we serve.
This position will be posted for at least 5 calendar days. The posting will remain active until the position is filled, or a qualified pool of candidates is identified.
Data Science Engineer Job Roles in New Hampshire
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Search Data Science Engineer Jobs in New HampshireData Science Engineer Jobs in New Hampshire: Frequently Asked Questions
Which companies sponsor visas for data science engineers in New Hampshire?
Defense and aerospace contractors like BAE Systems and Raytheon Technologies, financial services firms including Fidelity Investments and Anthem Blue Cross Blue Shield, and healthcare IT companies operating in the Manchester-Nashua corridor have all filed Labor Condition Applications for data science and data engineering roles. Larger employers with established HR and legal infrastructure are generally more likely to support H-1B visa sponsorship than smaller startups.
Which visa types are most common for data science engineer roles in New Hampshire?
The H-1B is the most common visa for data science engineers in New Hampshire, as the role typically qualifies as a specialty occupation requiring at least a bachelor's degree in computer science, statistics, or a related field. Candidates already holding OPT or STEM OPT work authorization can work for a sponsoring employer before an H-1B petition is filed. The O-1A is an option for applicants with documented extraordinary achievement in the field.
Which cities in New Hampshire have the most data science engineer sponsorship jobs?
Manchester and Nashua account for the majority of data science engineer sponsorship activity in New Hampshire, driven by their concentration of financial services, defense, and healthcare employers. Bedford and Portsmouth also see demand, particularly from technology and government contracting firms. The I-93 and Route 3 corridors connecting these cities to the Greater Boston metro area make southern New Hampshire the primary hiring zone for this role.
How to find data science engineer visa sponsorship jobs in New Hampshire?
Migrate Mate is built specifically for international job seekers and filters data science engineer roles in New Hampshire by visa sponsorship status, so you are not sorting through listings from employers who do not sponsor. You can search by role, state, and visa type to surface relevant opportunities from employers with a history of filing H-1B petitions for technical positions in this state.
Are there university or research pipelines that feed data science engineer hiring in New Hampshire?
Dartmouth College in Hanover produces graduate-level talent in computer science and data science, and some employers in New Hampshire recruit directly from its programs. The University of New Hampshire also offers relevant graduate programs. Employers familiar with OPT hiring at these institutions tend to have existing frameworks for transitioning strong candidates into H-1B sponsorship, making university-adjacent employers worth targeting in your search.
What is the prevailing wage for sponsored data science engineer 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.