OPT Data Engineering Intern Jobs
Data Engineering Intern roles are among the most OPT-friendly positions in tech: employers routinely file H-1B visa petitions for strong interns, and the work squarely qualifies as STEM OPT, giving you up to 36 months of authorized work. Most roles involve Python, SQL, and cloud pipelines, aligning directly with CS and data science degrees.
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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 1,537+ OPT Data Engineering Intern Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new OPT Data Engineering Intern Jobs.
Get Access To All JobsTips for Finding OPT Sponsorship as a Data Engineering Intern
Lead with STEM OPT eligibility upfront
Mention your STEM OPT status in your resume summary or cover letter. Employers unfamiliar with OPT often assume sponsorship is expensive and complex. Clarifying that you're already authorized to work removes that friction before the first conversation.
Target companies with active H-1B filing history
Employers who have previously sponsored H-1B visas are far more likely to extend interns into full-time sponsored roles. Focusing your search on companies with that track record significantly improves your odds of long-term visa support after the internship ends.
Align your degree field to the job description explicitly
STEM OPT requires your employment to be directly related to your degree. In applications, name the connection clearly: a computer science degree supporting a role building data pipelines is obvious to you but worth spelling out for a hiring manager unfamiliar with OPT rules.
Treat your DSO relationship as a job search asset
Your Designated School Official can confirm your OPT authorization period and STEM extension eligibility in writing. Having that documentation ready before interviews signals to employers that you've handled the administrative side and won't create delays in onboarding.
Apply early relative to your OPT start date
Many employers won't hold an offer open for more than a few weeks. Start your internship search three to four months before your intended start date so your OPT authorization is active or imminent by the time an offer arrives, not still weeks away.
Negotiate a full-time conversion discussion before accepting
Internships that convert to full-time roles are where OPT students gain the most immigration leverage. Before accepting an offer, ask directly whether the company has a conversion process and whether it includes visa sponsorship support for international hires.
Data Engineering Intern OPT: Frequently Asked Questions
Can I work as a Data Engineering Intern on OPT?
Yes, provided the internship is directly related to your degree field. A data engineering role requires skills in areas like database design, pipeline development, and distributed systems, which align closely with degrees in computer science, data science, and related engineering disciplines. Your DSO can confirm whether the specific role qualifies before you accept an offer.
Does a Data Engineering Internship qualify for the STEM OPT extension?
It does if your degree is on the STEM Designated Degree Program List and the employer meets E-Verify enrollment requirements. Most data engineering internships at technology companies, financial institutions, and large enterprises satisfy both conditions. The extension gives you an additional 24 months of work authorization beyond your initial 12-month OPT period, totaling 36 months.
How do I find Data Engineering Intern roles that are open to OPT students?
Migrate Mate is built specifically for F-1 OPT students and surfaces data engineering internships at employers who are open to or actively supportive of international work authorization. Filtering by OPT-friendly employers saves significant time compared to applying broadly and discovering late in the process that a company won't work with international candidates.
Do employers need to do anything special to hire me as a Data Engineering Intern on OPT?
For standard OPT, no special filing is required from the employer. You present your EAD card and your employer verifies it through Form I-9 like any other employment authorization document. If you later apply for a STEM OPT extension, your employer must be enrolled in E-Verify and sign a formal training plan using Form I-983, which outlines your learning goals and supervision structure.
What happens to my OPT if my Data Engineering Internship ends early or the company rescinds the offer?
Your OPT authorization remains valid, but unemployment time counts against your 90-day limit for pre-completion OPT or 150-day limit for post-completion OPT. You must report any change in employer or employment status to your DSO within 10 days. If you're between roles, use that window actively to line up your next position before hitting the unemployment threshold.