H-1B Visa Data Analytics Engineer Jobs
Data Analytics Engineer roles sit squarely within H-1B visa specialty occupation criteria, requiring at least a bachelor's degree in computer science, statistics, or a directly related field. Employers file an LCA with DOL before petitioning USCIS, certifying your wage meets the prevailing rate for your location and SOC code.
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Get Access To All JobsSr. Data Analyst
At Capital One, data is at the center of everything we do. When we launched 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 Analyst at Capital One you will leverage analytic and technical skills to innovate, build, and maintain well-managed data solutions and capabilities to tackle business problems.
On any given day you will be challenged by three types of work – Innovation, Business Intelligence and Data Management:
Innovation
- Use Open Source/Digital technologies to mine complex, voluminous, and different varieties of data sources and platforms
- Build well-managed data solutions, tools, and capabilities to enable self-service frameworks for data consumers
- Demonstrate ability to explore and quickly grasp new technologies to progress varied initiatives
Business Intelligence
- Partner with the business to provide consultancy and translate the business needs to design and develop tools, techniques, metrics, and dashboards for insights and data visualization
- Drive analysis that provides meaningful insights on business strategies
Data Management
- Drive an understanding and adherence to the principles of data quality management including metadata, lineage, and business definitions
- Work collaboratively with appropriate Tech teams to manage security mechanisms and data access governance
- Build and execute tools to monitor and report on data quality
Our ideal candidate will have:
- Degree specialized in a Science, Technology, Engineering, Mathematics discipline
- Scripting experience in (Python, R, Spark, and SQL)
- Strong desire and experience with data in various forms (data warehouses/SQL, unstructured data)
- Experience utilizing and developing within Snowflake services
Basic Qualifications:
- Currently has, or is in the process of obtaining a Bachelor’s Degree in quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science or a related quantitative field) plus at least 2 years of experience performing data analytics, or currently has, or is in the process of obtaining a Master’s Degree with an expectation that required degree will be obtained on or before the scheduled start date.
- At least 1 year of experience working with at least one scripting language
- At least 1 year of experience utilizing business intelligence visualization tool
- At least 1 year of experience querying, analyzing and working with data languages and platforms
Preferred Qualifications:
- Master’s Degree in a Science, Technology, Engineering, Mathematics discipline
- At least 2 years of experience coding in Python, R, Spark, or SQL
- At least 2 years of experience working within process management and improvement methodologies – Agile, Lean, Six Sigma, etc.
- At least 1 year of experience utilizing and developing within AWS services
- At least 1 year of experience working with and demonstrating knowledge of data governance, data quality management concepts and data quality tools (i.e. Informatica DQ)
Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.
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: $111,200 - $126,900 for Sr. Data Analyst
- Richmond, VA: $101,100 - $115,400 for Sr. Data Analyst
- Chicago, IL: $101,100 - $115,400 for Sr. Data Analyst
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).
Sr. Data Analyst
At Capital One, data is at the center of everything we do. When we launched 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 Analyst at Capital One you will leverage analytic and technical skills to innovate, build, and maintain well-managed data solutions and capabilities to tackle business problems.
On any given day you will be challenged by three types of work – Innovation, Business Intelligence and Data Management:
Innovation
- Use Open Source/Digital technologies to mine complex, voluminous, and different varieties of data sources and platforms
- Build well-managed data solutions, tools, and capabilities to enable self-service frameworks for data consumers
- Demonstrate ability to explore and quickly grasp new technologies to progress varied initiatives
Business Intelligence
- Partner with the business to provide consultancy and translate the business needs to design and develop tools, techniques, metrics, and dashboards for insights and data visualization
- Drive analysis that provides meaningful insights on business strategies
Data Management
- Drive an understanding and adherence to the principles of data quality management including metadata, lineage, and business definitions
- Work collaboratively with appropriate Tech teams to manage security mechanisms and data access governance
- Build and execute tools to monitor and report on data quality
Our ideal candidate will have:
- Degree specialized in a Science, Technology, Engineering, Mathematics discipline
- Scripting experience in (Python, R, Spark, and SQL)
- Strong desire and experience with data in various forms (data warehouses/SQL, unstructured data)
- Experience utilizing and developing within Snowflake services
Basic Qualifications:
- Currently has, or is in the process of obtaining a Bachelor’s Degree in quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science or a related quantitative field) plus at least 2 years of experience performing data analytics, or currently has, or is in the process of obtaining a Master’s Degree with an expectation that required degree will be obtained on or before the scheduled start date.
- At least 1 year of experience working with at least one scripting language
- At least 1 year of experience utilizing business intelligence visualization tool
- At least 1 year of experience querying, analyzing and working with data languages and platforms
Preferred Qualifications:
- Master’s Degree in a Science, Technology, Engineering, Mathematics discipline
- At least 2 years of experience coding in Python, R, Spark, or SQL
- At least 2 years of experience working within process management and improvement methodologies – Agile, Lean, Six Sigma, etc.
- At least 1 year of experience utilizing and developing within AWS services
- At least 1 year of experience working with and demonstrating knowledge of data governance, data quality management concepts and data quality tools (i.e. Informatica DQ)
Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.
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: $111,200 - $126,900 for Sr. Data Analyst
- Richmond, VA: $101,100 - $115,400 for Sr. Data Analyst
- Chicago, IL: $101,100 - $115,400 for Sr. Data Analyst
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).
See all 2,814+ H-1B Visa Data Analytics Engineer Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new H-1B Visa Data Analytics Engineer Jobs.
Get Access To All JobsTips for Finding H-1B Visa Sponsorship as a Data Analytics Engineer
Verify your SOC code before applying
Data Analytics Engineers are typically classified under SOC 15-1243 (Database Architects) or 15-1252 (Software Developers). Confirm which code your prospective employer will use, since the SOC code determines your prevailing wage level and LCA requirements.
Check employer LCA history on Migrate Mate
Search DOL LCA disclosure data on Migrate Mate to see which employers have filed for your specific SOC code and job level. That filing history is a stronger signal of sponsorship readiness than a job posting alone.
Document cloud and pipeline tool proficiency clearly
USCIS adjudicators look for a direct link between your degree and the role. List specific platforms like Spark, dbt, or Snowflake in your resume and reference them in your employer's specialty occupation letter to strengthen that connection.
Target E-Verify enrolled employers early
If you're on OPT and hoping your employer will sponsor your H-1B, confirm they're enrolled in E-Verify before accepting an offer. STEM OPT authorization requires E-Verify enrollment, and it also signals organizational readiness for future H-1B filing.
Negotiate offer timing around the H-1B cap year
H-1B registrations open in March for an October 1 start date. If you receive an offer in June, ask whether the employer will file in the next cap season or use a cap-exempt entity. That answer changes your start date by up to 16 months.
Use OFLC Wage Search to benchmark level before negotiating
Your LCA must certify a wage at or above the prevailing rate for your SOC code, job level, and work location. Pull the DOL OFLC Wage Search figure before salary discussions so you know the floor your employer is legally required to meet.
H-1B Visa Data Analytics Engineer: Frequently Asked Questions
Does a Data Analytics Engineer role qualify as an H-1B specialty occupation?
Yes. USCIS defines specialty occupation as a role requiring at least a bachelor's degree in a directly related field. Data Analytics Engineer positions typically require a degree in computer science, statistics, data science, or engineering. The employer must document that the specific duties, not just the job title, require that level of theoretical knowledge.
Which employers typically sponsor H-1B visas for Data Analytics Engineer roles?
Technology companies, financial services firms, healthcare systems, and large retail organizations with dedicated data teams are among the most consistent H-1B sponsors for this role. You can filter by employer and SOC code on Migrate Mate to see which companies have active LCA filings for data engineering positions before you apply.
What wage level should a Data Analytics Engineer expect on an LCA?
DOL classifies H-1B workers at four wage levels based on experience and job complexity. Most Data Analytics Engineer roles fall at Level II or Level III, though senior or staff-level positions reach Level IV. Your employer determines the level, and you can verify the corresponding prevailing wage for your location using the OFLC Wage Search tool.
Can a Data Analytics Engineer transfer an H-1B to a new employer mid-year?
Yes. H-1B portability under AC21 lets you start working for a new employer as soon as the transfer petition is filed, without waiting for approval, as long as your current H-1B has been approved for at least 180 days. Your new employer files a new I-129 with USCIS and a new LCA reflecting the updated role and location.
Does a Data Analytics Engineer need a PERM labor certification for an H-1B?
No. PERM is a green card process, not part of the H-1B. Your employer only needs to file an LCA with DOL, certifying your wage meets the prevailing rate, before submitting the H-1B petition to USCIS. PERM becomes relevant only if the employer later sponsors you for an EB-2 or EB-3 employment-based green card.