OPT Data Engineer Jobs
Data Engineer roles are among the most OPT-friendly positions in tech, with strong employer demand for F-1 students skilled in Python, SQL, and cloud platforms like AWS or Azure. Most roles qualify as STEM OPT extensions, giving you up to three years of authorized work without H-1B visa sponsorship.
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Data Analysis Manager - Office of the Chief Data Officer, Central Analytics and Reporting
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.
Join the Analytics & Transformation team and help shape the future of data management at Capital One. You’ll sit at the heart of our enterprise-wide data strategy, partnering with Data Managers, Product Managers, Engineers, Risk Managers, Business Analysts, and executives to define, standardize, and deliver the metrics that measure the health of our data. You’ll turn data risk metrics into insights and action, evolve our measurement capabilities as policies and business needs change, and serve as a strategic thought partner to stakeholders and senior leadership.
ROLE AND RESPONSIBILITIES
What you’ll do:
- Drive current and future strategy by leveraging your analytical skills
- Assist with building and using models to test and validate data
- Work with vast amounts of data in new and evolving environments
- Be a part of growing and developing our brand in new and emerging markets
- Leverage analytics to create a customer experience above our peers
- Lead a team of talented junior analysts on an exciting professional journey while mentoring them and elevating their careers
- Be a part of the full life cycle of projects and see end results
- Collaborate across business units
- Work with top talent in a fast paced, entrepreneurial environment where analytics and good data are a top priority
What You’ll Do:
- Partner across LOBs to define, standardize, and publish enterprise data risk metrics.
- Build and evolve dashboards and data products that provide visibility into data management and governance.
- Monitor metrics, identify emerging risks and trends, and generate actionable insights for leaders.
- Translate evolving data policies and requirements into meaningful metrics and monitoring.
- Use AI to automate and transform how we create, manage, and consume data risk metrics.
- Lead cross-functional initiatives and influence stakeholders without direct authority.
- Present insights and recommendations to VP+ leaders and executives across Capital One.
- Challenge the status quo and help shape the long-term strategy for data management.
WHY THIS ROLE MATTERS
Your work will directly influence how Capital One measures and improves the health of its data. You’ll gain broad executive visibility, deliver measurable impact on critical risk outcomes, and become a key thought leader in making our data well-managed and easy to govern.
On any given day you will be:
- Mining data to arrive at specific and crucial information for the organization
- Identifying and implementing process, data, and reporting improvements for the organization
- Working with large and complex databases containing millions to billions of records
- Improving operational efficiencies and effectiveness
- Conducting analysis to evaluate processes and tests
- Extracting and analyzing data to gauge product offerings
- Consulting on the design and implementation of new production and data storage systems
- Developing and implementing strategic tests of products, initiatives and marketing materials
An ideal candidate will be on the leading edge of Analytical technology with a passion for the newest and most innovative tools. Possessing strong problem solving and conceptual thinking abilities in addition to communication, interpersonal and leadership skills are also important. This position will be in a fast-paced and entrepreneurial environment where you will be handling multiple concurrent projects while working independently and in teams. This role will have a strong Business Intelligence component and those with a BI background are strongly encouraged to apply.
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 6 years of experience performing data analytics, or
- Master’s Degree plus at least 4 years of experience performing data analytics with an expectation that required degree will be obtained on or before the scheduled start date.
- At least 4 years of experience performing professional data analysis work
- At least 4 years of experience performing programming
PREFERRED QUALIFICATIONS
- Master’s Degree in a Science, Technology, Engineering, Mathematics discipline
- At least 7 years of professional data analysis work experience
- At least 4 years of experience with Python, R, Spark or SQL
- At least 1 year of experience in people management
- At least 1 year of project management experience
- At least 1 year of experience in Tableau
- Proficient utilizing and developing within AWS service
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: $164,800 - $188,100 for Data Analysis Manager
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 Analysis Manager - Office of the Chief Data Officer, Central Analytics and Reporting
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.
Join the Analytics & Transformation team and help shape the future of data management at Capital One. You’ll sit at the heart of our enterprise-wide data strategy, partnering with Data Managers, Product Managers, Engineers, Risk Managers, Business Analysts, and executives to define, standardize, and deliver the metrics that measure the health of our data. You’ll turn data risk metrics into insights and action, evolve our measurement capabilities as policies and business needs change, and serve as a strategic thought partner to stakeholders and senior leadership.
ROLE AND RESPONSIBILITIES
What you’ll do:
- Drive current and future strategy by leveraging your analytical skills
- Assist with building and using models to test and validate data
- Work with vast amounts of data in new and evolving environments
- Be a part of growing and developing our brand in new and emerging markets
- Leverage analytics to create a customer experience above our peers
- Lead a team of talented junior analysts on an exciting professional journey while mentoring them and elevating their careers
- Be a part of the full life cycle of projects and see end results
- Collaborate across business units
- Work with top talent in a fast paced, entrepreneurial environment where analytics and good data are a top priority
What You’ll Do:
- Partner across LOBs to define, standardize, and publish enterprise data risk metrics.
- Build and evolve dashboards and data products that provide visibility into data management and governance.
- Monitor metrics, identify emerging risks and trends, and generate actionable insights for leaders.
- Translate evolving data policies and requirements into meaningful metrics and monitoring.
- Use AI to automate and transform how we create, manage, and consume data risk metrics.
- Lead cross-functional initiatives and influence stakeholders without direct authority.
- Present insights and recommendations to VP+ leaders and executives across Capital One.
- Challenge the status quo and help shape the long-term strategy for data management.
WHY THIS ROLE MATTERS
Your work will directly influence how Capital One measures and improves the health of its data. You’ll gain broad executive visibility, deliver measurable impact on critical risk outcomes, and become a key thought leader in making our data well-managed and easy to govern.
On any given day you will be:
- Mining data to arrive at specific and crucial information for the organization
- Identifying and implementing process, data, and reporting improvements for the organization
- Working with large and complex databases containing millions to billions of records
- Improving operational efficiencies and effectiveness
- Conducting analysis to evaluate processes and tests
- Extracting and analyzing data to gauge product offerings
- Consulting on the design and implementation of new production and data storage systems
- Developing and implementing strategic tests of products, initiatives and marketing materials
An ideal candidate will be on the leading edge of Analytical technology with a passion for the newest and most innovative tools. Possessing strong problem solving and conceptual thinking abilities in addition to communication, interpersonal and leadership skills are also important. This position will be in a fast-paced and entrepreneurial environment where you will be handling multiple concurrent projects while working independently and in teams. This role will have a strong Business Intelligence component and those with a BI background are strongly encouraged to apply.
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 6 years of experience performing data analytics, or
- Master’s Degree plus at least 4 years of experience performing data analytics with an expectation that required degree will be obtained on or before the scheduled start date.
- At least 4 years of experience performing professional data analysis work
- At least 4 years of experience performing programming
PREFERRED QUALIFICATIONS
- Master’s Degree in a Science, Technology, Engineering, Mathematics discipline
- At least 7 years of professional data analysis work experience
- At least 4 years of experience with Python, R, Spark or SQL
- At least 1 year of experience in people management
- At least 1 year of project management experience
- At least 1 year of experience in Tableau
- Proficient utilizing and developing within AWS service
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: $164,800 - $188,100 for Data Analysis Manager
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 1,539+ OPT Data Engineer Jobs
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Get Access To All JobsTips for Finding OPT Sponsorship as a Data Engineer
Lead with your STEM OPT eligibility upfront
Data Engineering is a STEM-designated field, which means you qualify for a 24-month OPT extension beyond your initial 12 months. Mention this in your cover letter so employers know they have three years before needing to sponsor an H-1B visa.
Build a portfolio around real data pipelines
Employers hiring data engineers want proof you can build and maintain production-grade pipelines. Publish GitHub projects showing ETL workflows, data modeling, or orchestration with tools like Airflow or dbt to demonstrate hands-on capability beyond coursework.
Target companies with active H-1B filing histories
Companies that regularly file H-1B petitions for data roles are far more likely to sponsor you after OPT. DOL disclosure data shows which employers have historically sponsored data engineering positions, so prioritize applications there.
Emphasize cloud certifications to stand out
AWS Certified Data Engineer, Google Professional Data Engineer, or Azure Data Engineer certifications signal to hiring managers that you can contribute immediately. Certifications often offset concerns about sponsorship timelines by demonstrating high technical readiness.
Address OPT timing proactively with recruiters
Recruiters often assume OPT authorization is more complicated than it is. Prepare a one-sentence explanation of your current OPT status, remaining duration, and STEM extension eligibility so hiring conversations move forward without confusion or hesitation.
Apply to mid-size tech and data-driven companies
Startups and mid-size companies in fintech, healthtech, and SaaS often have urgent data engineering needs and more flexible hiring processes. They're frequently more willing to sponsor OPT workers than large enterprises with rigid HR policies.
Data Engineer OPT: Frequently Asked Questions
Does a Data Engineer role qualify for the STEM OPT extension?
Yes. Data Engineering falls under CIP codes recognized as STEM-eligible, which means most F-1 students graduating from a qualifying program in computer science, information systems, or a related field can apply for the 24-month STEM OPT extension. Your role must be directly related to your degree field, and your employer must enroll in E-Verify to support the extension.
How do I find Data Engineer jobs that explicitly support OPT work authorization?
Migrate Mate filters job listings specifically for OPT-eligible candidates, so you can browse Data Engineer roles from employers already open to F-1 work authorization without screening out irrelevant listings. This saves significant time compared to parsing general job postings that rarely specify sponsorship willingness upfront.
Can I work as a Data Engineer contractor or on a project basis during OPT?
OPT requires that your employment be directly related to your degree field, but it does not require a full-time permanent position. Contract and project-based data engineering roles can qualify, provided each engagement is substantive and field-related. Self-employment is permitted under OPT if you can demonstrate you are actively engaged in work related to your degree.
What happens to my OPT if my Data Engineer job ends before my authorization period expires?
F-1 OPT students are allowed up to 90 days of unemployment during the initial OPT period, and up to 150 days during the STEM OPT extension. If your data engineering role ends, you must actively pursue new employment in your field. Exceeding the unemployment limit puts your status at risk, so tracking your dates carefully from the day employment ends is critical.
Do Data Engineer employers need to do anything special to hire me on OPT?
For standard OPT, employers do not need to file any immigration petition or take formal action. You simply present your EAD card as proof of work authorization. For the STEM OPT extension, your employer must be enrolled in E-Verify and complete a formal training plan with your designated school official. Most established tech companies already meet this requirement.