Principal Research Engineer Visa Sponsorship Jobs in Virginia
Principal research engineer roles in Virginia are concentrated in Northern Virginia's defense and technology corridor, with major employers including Leidos, Booz Allen Hamilton, MITRE, Amazon Web Services, and government-adjacent research organizations. Positions span AI, cybersecurity, and systems engineering research. Many roles require security clearances, which shapes the sponsorship timeline for international candidates significantly.
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Get Access To All JobsINTRODUCTION
Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making.
As a Data Scientist at Capital One, you’ll be part of a team that’s leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives.
Team Description
Small businesses make up 99% of U.S. firms and drive 44% of the nation's GDP. At Small Business Bank (SBB), our mission is to advocate for these entrepreneurs and empower their long-term success. The SBB Data Science team brings a relentless focus to the craft of data science—spanning statistics, machine learning, and emerging AI technologies. We partner across the organization to optimize the performance and impact of the financial products, policies, and services delivered to our customers.
ROLE DESCRIPTION
In this role, you will:
- Partner with a cross-functional team of data scientists, software engineers, and product managers to deliver a product customers love
- Leverage a broad stack of technologies — Python, Conda, AWS, H2O, Spark, and more — to reveal the insights hidden within huge volumes of numeric and textual data
- Build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation
- Flex your interpersonal skills to translate the complexity of your work into tangible business goals
- Develop modeling solutions and conduct analyses to drive customer engagement, improve retention, and elevate the overall customer experience
THE IDEAL CANDIDATE IS:
- Technical. You’re comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms.
- Statistically-minded. You’ve built models, validated them, and back tested them. You know how to interpret a confusion matrix or a ROC curve. You have experience with clustering, classification, sentiment analysis, time series, and deep learning.
- A data guru. “Big data” doesn’t faze you. You have the skills to retrieve, combine, and analyze data from a variety of sources and structures. You know understanding the data is often the key to great data science.
- Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them.
BASIC QUALIFICATIONS:
- Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date:
- A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 5 years of experience performing data analytics
- A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 3 years of experience performing data analytics
- A PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field)
PREFERRED QUALIFICATIONS:
- Master’s Degree in “STEM” field (Science, Technology, Engineering, or Mathematics) plus 3 years of experience in data analytics, or PhD in “STEM” field (Science, Technology, Engineering, or Mathematics)
- At least 3 years’ experience with machine learning and statistical modeling
- At least 3 years’ experience in Python, Dask, Spark etc.
- At least 3 years’ experience with SQL
- At least 1 year of experience working with AWS
- At least 1 year of experience with deep learning/emerging AI e.g. graphs, embeddings, sequence models, or transformer models
Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.
COMPENSATION
- The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.
McLean, VA: $161,800 - $184,600 for Princ Associate, Data Science
Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter.
This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.
Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.
This role is expected to accept applications for a minimum of 5 business days.
No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.
If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.
For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com.
Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.
Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
INTRODUCTION
Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making.
As a Data Scientist at Capital One, you’ll be part of a team that’s leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives.
Team Description
Small businesses make up 99% of U.S. firms and drive 44% of the nation's GDP. At Small Business Bank (SBB), our mission is to advocate for these entrepreneurs and empower their long-term success. The SBB Data Science team brings a relentless focus to the craft of data science—spanning statistics, machine learning, and emerging AI technologies. We partner across the organization to optimize the performance and impact of the financial products, policies, and services delivered to our customers.
ROLE DESCRIPTION
In this role, you will:
- Partner with a cross-functional team of data scientists, software engineers, and product managers to deliver a product customers love
- Leverage a broad stack of technologies — Python, Conda, AWS, H2O, Spark, and more — to reveal the insights hidden within huge volumes of numeric and textual data
- Build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation
- Flex your interpersonal skills to translate the complexity of your work into tangible business goals
- Develop modeling solutions and conduct analyses to drive customer engagement, improve retention, and elevate the overall customer experience
THE IDEAL CANDIDATE IS:
- Technical. You’re comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms.
- Statistically-minded. You’ve built models, validated them, and back tested them. You know how to interpret a confusion matrix or a ROC curve. You have experience with clustering, classification, sentiment analysis, time series, and deep learning.
- A data guru. “Big data” doesn’t faze you. You have the skills to retrieve, combine, and analyze data from a variety of sources and structures. You know understanding the data is often the key to great data science.
- Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them.
BASIC QUALIFICATIONS:
- Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date:
- A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 5 years of experience performing data analytics
- A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 3 years of experience performing data analytics
- A PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field)
PREFERRED QUALIFICATIONS:
- Master’s Degree in “STEM” field (Science, Technology, Engineering, or Mathematics) plus 3 years of experience in data analytics, or PhD in “STEM” field (Science, Technology, Engineering, or Mathematics)
- At least 3 years’ experience with machine learning and statistical modeling
- At least 3 years’ experience in Python, Dask, Spark etc.
- At least 3 years’ experience with SQL
- At least 1 year of experience working with AWS
- At least 1 year of experience with deep learning/emerging AI e.g. graphs, embeddings, sequence models, or transformer models
Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.
COMPENSATION
- The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.
McLean, VA: $161,800 - $184,600 for Princ Associate, Data Science
Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter.
This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.
Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.
This role is expected to accept applications for a minimum of 5 business days.
No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.
If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.
For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com.
Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.
Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
Principal Research Engineer Job Roles in Virginia
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Search Principal Research Engineer Jobs in VirginiaPrincipal Research Engineer Jobs in Virginia: Frequently Asked Questions
Which companies sponsor visas for principal research engineers in Virginia?
Virginia's principal research engineer sponsorship activity is led by defense contractors and technology firms with established immigration programs. Leidos, Booz Allen Hamilton, MITRE, Amazon Web Services, and Noblis have histories of sponsoring H-1B visa and other specialty occupation visas for research engineering roles. University-affiliated research centers, including those tied to Virginia Tech and George Mason University, also sponsor at the principal level for advanced research positions.
Which visa types realistically fit principal research engineer roles in Virginia?
Principal research engineer roles qualify as specialty occupations requiring at least a bachelor's degree in a directly related engineering or computer science field, making H-1B the most common path. Canadian and Mexican nationals may qualify under TN visa status as engineers with the appropriate degree. E-3 visa applies to Australian nationals. EB-2 and EB-3 employment-based green cards are also relevant for long-term sponsorship, with most cases requiring PERM labor certification.
How to find principal research engineer visa sponsorship jobs in Virginia?
Migrate Mate lists principal research engineer positions at Virginia employers with verified visa sponsorship histories, letting you focus your search on companies that have filed for similar roles. Given Northern Virginia's concentration of defense contractors and technology research organizations, filtering specifically to this state surfaces a distinct set of employers. Migrate Mate's data is especially useful for identifying which firms actively sponsor at the principal-level seniority.
Which cities in Virginia have the most principal research engineer sponsorship jobs?
Northern Virginia cities dominate, particularly Reston, McLean, Tysons, Fairfax, and Arlington, which host the regional headquarters of major defense contractors and cloud infrastructure companies. The Washington, D.C. metro area's proximity drives most of this concentration. Charlottesville and Blacksburg have smaller but active research engineering markets tied to the University of Virginia and Virginia Tech respectively, with some sponsorship activity at university-affiliated research institutes.
Are there state-specific factors that affect principal research engineer sponsorship in Virginia?
Virginia's principal research engineering market is heavily shaped by federal contracting. Many roles require active security clearances, which complicates sponsorship for candidates on nonimmigrant visas since clearance eligibility depends on nationality and status. Employers in the defense corridor often prefer candidates who already hold clearances or are U.S. persons. Research-focused roles at civilian technology companies and university labs generally have fewer clearance requirements and more straightforward sponsorship processes.
What is the prevailing wage for sponsored principal research engineer jobs in Virginia?
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.