Big Data Engineer Visa Sponsorship Jobs in Virginia
Big data engineer visa sponsorship jobs in Virginia are concentrated around Northern Virginia's technology corridor, where federal contractors like Booz Allen Hamilton, Leidos, and SAIC regularly file for specialty occupation workers. The Washington D.C. metro area, Reston, McLean, and Tysons Corner host dense clusters of data-intensive employers spanning defense, cloud infrastructure, and government consulting.
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Get Access To All JobsINTRODUCTION
Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors who solve real problems and meet real customer needs. We are seeking Data Engineers who are passionate about marrying data with emerging technologies. In this role, you’ll be at the forefront of driving a major transformation across Capital One.
ROLE AND RESPONSIBILITIES
- Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions in full-stack development tools and technologies
- Influence a team of developers, data analysts and data scientists with deep experience in machine learning, distributed microservices, lakehouse architecture, and full-stack systems
- Utilize programming languages such as Python and Spark, along with open-source relational and NoSQL databases, and cloud-based data warehousing platforms including Databricks and Snowflake
- Share your passion for staying on top of trends in data, experimenting with and learning new technologies, participating in internal and external technology communities, and mentoring other members of the data community
- Collaborate with product managers and software engineers to deliver robust cloud-first data solutions that drive powerful experiences to help millions of Americans achieve financial empowerment
- Independently design, build and deliver world-class cloud data solutions and applications with little or no support from supervisors or managers
- Architect and enforce common data engineering design patterns to ensure code quality, maintainability, and reusability across data platforms and pipelines
- Serve as an ambassador for the data engineering team, communicating technical concepts and data outcomes clearly to both internal and external stakeholders to drive alignment and shared understanding
- Design and build data pipelines and platforms with a focus on scalability, resilience, and operational efficiency, ensuring robust performance under increasing data volume and business demands
- Serve as a force-multiplier for the team, balancing deep, hands-on technical contribution and innovation with mentoring and elevating the skills of peers and junior engineers
- Lead and execute large-scale, transformative data initiatives from end to end, independently driving critical architectural decisions and evaluating platform choices, such as Snowflake versus Databricks, based on technical and business requirements
This role is designated as a hybrid position. You are expected to adhere to Capital One's hybrid policy regarding required on-site presence at your designated office location.
BASIC QUALIFICATIONS
- Bachelor's Degree or higher in Computer Science or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering)
- At least 6 years of experience in application development (Internship experience does not apply)
- At least 4 years of experience in distributed data
- At least 4 years of experience with SQL
- At least 4 years of experience programming with at least one of the following languages: Python, Java, or Scala
- At least 4 years of experience designing and developing data pipelines
- At least 2 years of experience in data modeling and designing end-to-end data solutions using both relational and non-relational database systems
PREFERRED QUALIFICATIONS
- Master’s Degree in Computer Science or a related field
- 8+ years of experience in data engineering
- 4+ years of data modeling experience
- 9+ years of experience in application development with demonstrated proficiency in Python, SQL, Scala, or Java
- 5+ years of hands-on experience designing, deploying and operating data workloads in at least one public cloud environment (AWS, Microsoft Azure, or Google Cloud)
- 5+ years of experience building or supporting distributed data or compute workloads using tools such as EMR, Spark, Glue, or Databricks
- 5+ years of experience designing, implementing, and operating real-time or streaming data pipelines
- 3+ years of experience working on data observability (e.g., Monte Carlo, Splunk) or data orchestration tools (e.g., Airflow, Dagster)
- 5+ years of experience working with unstructured or semistructured data using NoSQL databases (e.g., MongoDB, Cassandra, DynamoDB)
- 5+ years of experience designing and supporting data warehousing solutions (e.g., Snowflake, Redshift)
- 3+ years of experience working in an Agile development environment
- 3+ years of experience developing user-centric reusable data products
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: $229,900 - $262,400 for Data Engineer 5
- Plano, TX: $209,000 - $238,500 for Data Engineer 5
- Richmond, VA: $209,000 - $238,500 for Data Engineer 5
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
Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors who solve real problems and meet real customer needs. We are seeking Data Engineers who are passionate about marrying data with emerging technologies. In this role, you’ll be at the forefront of driving a major transformation across Capital One.
ROLE AND RESPONSIBILITIES
- Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions in full-stack development tools and technologies
- Influence a team of developers, data analysts and data scientists with deep experience in machine learning, distributed microservices, lakehouse architecture, and full-stack systems
- Utilize programming languages such as Python and Spark, along with open-source relational and NoSQL databases, and cloud-based data warehousing platforms including Databricks and Snowflake
- Share your passion for staying on top of trends in data, experimenting with and learning new technologies, participating in internal and external technology communities, and mentoring other members of the data community
- Collaborate with product managers and software engineers to deliver robust cloud-first data solutions that drive powerful experiences to help millions of Americans achieve financial empowerment
- Independently design, build and deliver world-class cloud data solutions and applications with little or no support from supervisors or managers
- Architect and enforce common data engineering design patterns to ensure code quality, maintainability, and reusability across data platforms and pipelines
- Serve as an ambassador for the data engineering team, communicating technical concepts and data outcomes clearly to both internal and external stakeholders to drive alignment and shared understanding
- Design and build data pipelines and platforms with a focus on scalability, resilience, and operational efficiency, ensuring robust performance under increasing data volume and business demands
- Serve as a force-multiplier for the team, balancing deep, hands-on technical contribution and innovation with mentoring and elevating the skills of peers and junior engineers
- Lead and execute large-scale, transformative data initiatives from end to end, independently driving critical architectural decisions and evaluating platform choices, such as Snowflake versus Databricks, based on technical and business requirements
This role is designated as a hybrid position. You are expected to adhere to Capital One's hybrid policy regarding required on-site presence at your designated office location.
BASIC QUALIFICATIONS
- Bachelor's Degree or higher in Computer Science or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering)
- At least 6 years of experience in application development (Internship experience does not apply)
- At least 4 years of experience in distributed data
- At least 4 years of experience with SQL
- At least 4 years of experience programming with at least one of the following languages: Python, Java, or Scala
- At least 4 years of experience designing and developing data pipelines
- At least 2 years of experience in data modeling and designing end-to-end data solutions using both relational and non-relational database systems
PREFERRED QUALIFICATIONS
- Master’s Degree in Computer Science or a related field
- 8+ years of experience in data engineering
- 4+ years of data modeling experience
- 9+ years of experience in application development with demonstrated proficiency in Python, SQL, Scala, or Java
- 5+ years of hands-on experience designing, deploying and operating data workloads in at least one public cloud environment (AWS, Microsoft Azure, or Google Cloud)
- 5+ years of experience building or supporting distributed data or compute workloads using tools such as EMR, Spark, Glue, or Databricks
- 5+ years of experience designing, implementing, and operating real-time or streaming data pipelines
- 3+ years of experience working on data observability (e.g., Monte Carlo, Splunk) or data orchestration tools (e.g., Airflow, Dagster)
- 5+ years of experience working with unstructured or semistructured data using NoSQL databases (e.g., MongoDB, Cassandra, DynamoDB)
- 5+ years of experience designing and supporting data warehousing solutions (e.g., Snowflake, Redshift)
- 3+ years of experience working in an Agile development environment
- 3+ years of experience developing user-centric reusable data products
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: $229,900 - $262,400 for Data Engineer 5
- Plano, TX: $209,000 - $238,500 for Data Engineer 5
- Richmond, VA: $209,000 - $238,500 for Data Engineer 5
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).
Big Data Engineer Job Roles in Virginia
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Search Big Data Engineer Jobs in VirginiaBig Data Engineer Jobs in Virginia: Frequently Asked Questions
Which companies in Virginia sponsor visas for big data engineers?
Northern Virginia's federal contracting sector drives much of the sponsorship activity for big data engineers in the state. Booz Allen Hamilton, Leidos, SAIC, Perspecta, and General Dynamics IT have active H-1B visa filing histories for data engineering roles. Beyond defense contractors, technology firms like Amazon Web Services in Arlington and Capital One in McLean are consistent sponsors, along with mid-size cloud and analytics consultancies based in Reston and Herndon.
Which visa types realistically fit big data engineer roles in Virginia?
Big data engineering is a specialty occupation requiring a directly related bachelor's degree, so H-1B is the primary path for most international candidates. Canadian and Mexican nationals may qualify under the TN visa as engineers, provided they hold the required engineering degree. H-1B1 visa applies to Chilean and Singaporean nationals. F-1 students can work via OPT or STEM OPT if their degree is STEM-designated. Longer term, EB-2 or EB-3 employment-based green cards are common for established engineers at sponsoring firms.
Which cities in Virginia have the most big data engineer sponsorship jobs?
Northern Virginia dominates, with Reston, McLean, Tysons Corner, Herndon, and Arlington accounting for the majority of big data engineer sponsorship filings. This corridor sits adjacent to Washington D.C. and hosts a heavy concentration of federal contractors, defense agencies, and technology campuses. Richmond has a smaller but growing presence through financial services firms and state government technology modernization initiatives. Virginia Beach and Charlottesville see occasional postings tied to specific defense or university-affiliated projects.
How to find big data engineer visa sponsorship jobs in Virginia?
Migrate Mate lists Virginia employers with verified sponsorship histories for big data engineer roles, letting you search specifically within the Northern Virginia technology corridor or statewide. Because Migrate Mate surfaces employers based on actual LCA filing records, you can quickly identify which companies have sponsored roles matching your data engineering background rather than applying broadly and discovering sponsorship eligibility late in the process.
Are there state-specific factors that affect big data engineer sponsorship in Virginia?
Virginia's proximity to federal agencies creates unusually high demand for engineers who can obtain security clearances, which influences sponsorship patterns. Many Northern Virginia employers prioritize candidates eligible for clearance, and some roles require U.S. citizenship, narrowing the sponsorship pool. Virginia also benefits from a strong university pipeline through George Mason University and Virginia Tech, whose computer science and data programs feed directly into local technology employers that sponsor graduates through OPT and H-1B transitions.
What is the prevailing wage for sponsored big data 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.