Data Science Engineer Visa Sponsorship Jobs in Maryland
Data science engineer visa sponsorship jobs in Maryland are concentrated around the Baltimore-Washington corridor, with major employers including Northrop Grumman, Leidos, SAIC, and Johns Hopkins University. The region's dense federal contracting sector, strong life sciences industry, and proximity to NSA and NIH headquarters make Maryland one of the more active states for data science engineering roles.
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Get Access To All JobsINTRODUCTION
Axle is a bioscience and information technology company that offers advancements in translational research, biomedical informatics, and data science applications to research centers and healthcare organizations nationally and abroad. With experts in biomedical science, software engineering, and program management, we focus on developing and applying research tools and techniques to empower decision-making and accelerate research discoveries. We work with some of the top research organizations and facilities in the country including multiple institutes at the National Institutes of Health (NIH).
Benefits We Offer:
- 100% Medical, Dental & Vision Coverage for Employees
- Paid Time Off and Paid Holidays
- 401K match up to 5%
- Educational Benefits for Career Growth
- Employee Referral Bonus
- Flexible Spending Accounts:
- Healthcare (FSA)
- Parking Reimbursement Account (PRK)
- Dependent Care Assistant Program (DCAP)
- Transportation Reimbursement Account (TRN)
ROLE AND RESPONSIBILITIES
Axle is hiring a Junior Data Science Engineer to support projects across the federal space, including the National Center for Advancing Translational Sciences (NCATS) within the National Institutes of Health (NIH). You will work alongside a collaborative team of developers, data scientists, and subject matter experts to build and enhance data-driven applications, APIs, and analytics tools that support scientific research and data exploration. This role provides hands-on experience with modern web technologies, data pipelines, and cloud-based environments, contributing to systems that enable interactive data analysis and visualization.
BASIC QUALIFICATIONS
- Bachelor’s Degree (or currently pursuing) in Computer Science, Data Science, Bioinformatics, Statistics, Engineering, or related field
- Experience or coursework in JavaScript/TypeScript and/or Python
- Exposure to full-stack development concepts (frontend and backend)
- Familiarity with Node.js and Angular or similar frameworks
- Understanding of RESTful APIs and web services
- Exposure to version control systems (Git)
- Familiarity with Agile/SCRUM development methodologies
- Basic understanding of testing frameworks and debugging practices
PREFERRED QUALIFICATIONS
- Strong problem-solving skills and attention to detail
- Ability to communicate clearly and effectively (written and verbal)
- Ability to work both independently and in a team environment
- Adaptability in a fast-paced environment with changing priorities
- Interest in data science, analytics, or machine learning concepts
- Familiarity with data visualization or dashboarding tools is a plus
Responsibilities:
- Assist in building and maintaining data-driven applications using JavaScript/TypeScript and/or Python
- Support development of web applications using Node.js and Angular
- Contribute to the design and implementation of RESTful APIs
- Participate in testing, debugging, and enhancing existing codebases
- Help implement new features and performance improvements
- Collaborate in Agile development cycles, including sprint planning, stand-ups, and code reviews
- Support development of data pipelines, dashboards, and visualization tools
- Gain hands-on experience working in NIH environments across multiple sites
Disclaimer:
The above description is meant to illustrate the general nature of work and level of effort being performed by individuals assigned to this position or job description. This is not restricted as a complete list of all skills, responsibilities, duties, and/or assignments required. Individuals may be required to perform duties outside of their position, job description or responsibilities as needed. The diversity of Axle’s employees is a tremendous asset. We are firmly committed to providing equal opportunity in all aspects of employment and will not tolerate any illegal discrimination or harassment based on age, race, gender, religion, national origin, disability, marital status, covered veteran status, sexual orientation, status with respect to public assistance, and other characteristics protected under state, federal, or local law and to deter those who aid, abet, or induce discrimination or coerce others to discriminate.
Accessibility: If you need an accommodation as part of the employment process please contact: careers@axleinfo.com
This role has a market-competitive salary with an anticipated base compensation range listed below. Actual salaries will vary depending on a candidate’s experience, qualifications, skills, and location.
Salary Range: $80,000 USD - $90,000 USD
INTRODUCTION
Axle is a bioscience and information technology company that offers advancements in translational research, biomedical informatics, and data science applications to research centers and healthcare organizations nationally and abroad. With experts in biomedical science, software engineering, and program management, we focus on developing and applying research tools and techniques to empower decision-making and accelerate research discoveries. We work with some of the top research organizations and facilities in the country including multiple institutes at the National Institutes of Health (NIH).
Benefits We Offer:
- 100% Medical, Dental & Vision Coverage for Employees
- Paid Time Off and Paid Holidays
- 401K match up to 5%
- Educational Benefits for Career Growth
- Employee Referral Bonus
- Flexible Spending Accounts:
- Healthcare (FSA)
- Parking Reimbursement Account (PRK)
- Dependent Care Assistant Program (DCAP)
- Transportation Reimbursement Account (TRN)
ROLE AND RESPONSIBILITIES
Axle is hiring a Junior Data Science Engineer to support projects across the federal space, including the National Center for Advancing Translational Sciences (NCATS) within the National Institutes of Health (NIH). You will work alongside a collaborative team of developers, data scientists, and subject matter experts to build and enhance data-driven applications, APIs, and analytics tools that support scientific research and data exploration. This role provides hands-on experience with modern web technologies, data pipelines, and cloud-based environments, contributing to systems that enable interactive data analysis and visualization.
BASIC QUALIFICATIONS
- Bachelor’s Degree (or currently pursuing) in Computer Science, Data Science, Bioinformatics, Statistics, Engineering, or related field
- Experience or coursework in JavaScript/TypeScript and/or Python
- Exposure to full-stack development concepts (frontend and backend)
- Familiarity with Node.js and Angular or similar frameworks
- Understanding of RESTful APIs and web services
- Exposure to version control systems (Git)
- Familiarity with Agile/SCRUM development methodologies
- Basic understanding of testing frameworks and debugging practices
PREFERRED QUALIFICATIONS
- Strong problem-solving skills and attention to detail
- Ability to communicate clearly and effectively (written and verbal)
- Ability to work both independently and in a team environment
- Adaptability in a fast-paced environment with changing priorities
- Interest in data science, analytics, or machine learning concepts
- Familiarity with data visualization or dashboarding tools is a plus
Responsibilities:
- Assist in building and maintaining data-driven applications using JavaScript/TypeScript and/or Python
- Support development of web applications using Node.js and Angular
- Contribute to the design and implementation of RESTful APIs
- Participate in testing, debugging, and enhancing existing codebases
- Help implement new features and performance improvements
- Collaborate in Agile development cycles, including sprint planning, stand-ups, and code reviews
- Support development of data pipelines, dashboards, and visualization tools
- Gain hands-on experience working in NIH environments across multiple sites
Disclaimer:
The above description is meant to illustrate the general nature of work and level of effort being performed by individuals assigned to this position or job description. This is not restricted as a complete list of all skills, responsibilities, duties, and/or assignments required. Individuals may be required to perform duties outside of their position, job description or responsibilities as needed. The diversity of Axle’s employees is a tremendous asset. We are firmly committed to providing equal opportunity in all aspects of employment and will not tolerate any illegal discrimination or harassment based on age, race, gender, religion, national origin, disability, marital status, covered veteran status, sexual orientation, status with respect to public assistance, and other characteristics protected under state, federal, or local law and to deter those who aid, abet, or induce discrimination or coerce others to discriminate.
Accessibility: If you need an accommodation as part of the employment process please contact: careers@axleinfo.com
This role has a market-competitive salary with an anticipated base compensation range listed below. Actual salaries will vary depending on a candidate’s experience, qualifications, skills, and location.
Salary Range: $80,000 USD - $90,000 USD
Data Science Engineer Job Roles in Maryland
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Search Data Science Engineer Jobs in MarylandData Science Engineer Jobs in Maryland: Frequently Asked Questions
Which companies sponsor visas for data science engineers in Maryland?
Federal contractors and technology firms lead visa sponsorship for data science engineers in Maryland. Companies like Northrop Grumman, Leidos, Booz Allen Hamilton, SAIC, and Maximus regularly file H-1B petitions for data-focused engineering roles. Johns Hopkins University and University of Maryland also sponsor data science engineers, particularly for research-adjacent positions. Life sciences firms in the Montgomery County biotech corridor are an additional source of sponsorship activity.
Which visa types are most common for data science engineer roles in Maryland?
The H-1B is the most common visa for data science engineers in Maryland, given that the role typically requires a bachelor's degree or higher in computer science, statistics, or a related field, satisfying the specialty occupation requirement. Researchers at universities like Johns Hopkins may also encounter J-1 or O-1 visas. Candidates from Australia may be eligible for the E-3, and Canadian or Mexican nationals may qualify under the TN category.
Which cities in Maryland have the most data science engineer sponsorship jobs?
The Baltimore metropolitan area and the Maryland suburbs of Washington, D.C., are the primary hiring centers for data science engineers in the state. Rockville, Bethesda, and Silver Spring in Montgomery County host a high concentration of biotech, health IT, and federal agency contractors. Columbia and Annapolis Junction are also notable, partly due to proximity to NSA and defense intelligence facilities that require data engineering expertise.
How to find data science engineer visa sponsorship jobs in Maryland?
Migrate Mate is built specifically for international candidates seeking visa sponsorship, making it a practical starting point for data science engineer roles in Maryland. You can filter by role and state to see positions where employers have a documented history of sponsoring work visas. Given the volume of federal contracting activity in Maryland, filtering by industry or employer type on Migrate Mate can help you focus on the segments most active in sponsorship.
Are there state-specific considerations for data science engineers seeking sponsorship in Maryland?
Maryland's federal contracting sector introduces a factor that matters for visa holders: many defense and intelligence-adjacent roles require security clearances, which are generally not available to non-U.S. persons. This narrows the pool of sponsoring positions for international candidates. However, civilian roles at universities, healthcare systems, and commercial tech firms in the state are not subject to this restriction, and those segments represent meaningful sponsorship activity for data science engineers.
What is the prevailing wage for sponsored data science engineer jobs in Maryland?
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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