Senior Staff Data Engineer Green Card Jobs
Senior Staff Data Engineer roles qualify for EB-2 and EB-3 green card sponsorship through PERM labor certification, where your employer documents that no qualified U.S. worker is available for the position. Staff-level data engineering seniority strengthens the advanced-degree professional case under EB-2, while EB-3 covers skilled professionals with bachelor's degrees.
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PayPal has been revolutionizing commerce globally for more than 25 years. Creating innovative experiences that make moving money, selling, and shopping simple, personalized, and secure, PayPal empowers consumers and businesses in approximately 200 markets to join and thrive in the global economy.
We operate a global, two-sided network at scale that connects hundreds of millions of merchants and consumers. We help merchants and consumers connect, transact, and complete payments, whether they are online or in person. PayPal is more than a connection to third-party payment networks. We provide proprietary payment solutions accepted by merchants that enable the completion of payments on our platform on behalf of our customers.
We offer our customers the flexibility to use their accounts to purchase and receive payments for goods and services, as well as the ability to transfer and withdraw funds. We enable consumers to exchange funds more safely with merchants using a variety of funding sources, which may include a bank account, a PayPal or Venmo account balance, PayPal and Venmo branded credit products, a credit card, a debit card, certain cryptocurrencies, or other stored value products such as gift cards, and eligible credit card rewards. Our PayPal, Venmo, and Xoom products also make it safer and simpler for friends and family to transfer funds to each other. We offer merchants an end-to-end payments solution that provides authorization and settlement capabilities, as well as instant access to funds and payouts. We also help merchants connect with their customers, process exchanges and returns, and manage risk. We enable consumers to engage in cross-border shopping and merchants to extend their global reach while reducing the complexity and friction involved in enabling cross-border trade.
Our beliefs are the foundation for how we conduct business every day. We live each day guided by our core values of Inclusion, Innovation, Collaboration, and Wellness. Together, our values ensure that we work together as one global team with our customers at the center of everything we do – and they push us to ensure we take care of ourselves, each other, and our communities.
Job Summary:
This role requires strong product sense to directly support the business. Scale data management capabilities and drive high-impact, cross-functional initiatives that shape the future of data at GCSC Risk. Provides technical leadership, business and technical strategic alignment, and advanced problem-solving at an org-wide level. To successfully execute on cross-org initiatives, we need someone who can innovate, drive technical strategy, and ensure that our data solutions are scalable, efficient, and aligned with GCSC Risk’s broader goals.
As the Senior Staff Engineer, Global Risk Data Management within the Credit Infrastructure and Data organization, you will implement common data practices across functional areas that drives standardization, quality, ease of access, accelerates governance practices by treating data as a product and facilitates a data-driven culture across PayPal where data is considered a strategic asset and treated accordingly—with the proper controls and quality.
Essential Responsibilities:
- Lead complex data engineering projects, ensuring they meet business objectives and deliver actionable insights.
- Develop advanced data architectures and pipelines to analyze large datasets and solve complex business problems.
- Collaborate with senior leadership to identify data-driven opportunities for business growth and efficiency.
- Implement best practices for data management, analysis, and visualization.
- Ensure data governance and compliance with relevant regulations and standards.
- Provide mentorship and technical guidance to the data engineering team.
Minimum Qualifications:
8+ years relevant experience and a Bachelor’s degree OR Any equivalent combination of education and experience.
Your way to impact
This position will report to the Head of Credit Internal Data and will require a significant amount of collaboration across all business, technologies, product & platform teams within PayPal and its associated business entities.
We are helping rethink how we use data to make credit decisions at PayPal to fulfill the needs of our customers (both internal and external). We drive the creation of delightful, frictionless, and compliant payment experiences while maximizing the value of our data. In this role you will get an opportunity to support the implementation and adoption of the Enterprise Data Management & Governance (EDG) program across the company.
Your day to day
Position Responsibilities:
- Must be a self-starter, work independently or as a team member. Proactively remove obstacles to ensure timely delivery of product and goals.
- Write clean and solid code that scales over PB of data and enforce engineering excellence in the organization.
- Improve data management efficiency through AI capabilities, better process and best practices.
- Embed Privacy-by-Design principles into all data solutions and ensure compliance with regulatory requirements.
- Provide expertise across the data product development lifecycle—spanning data engineering, architecture, and analytics—to design and deliver reusable, accessible, and high-quality data solutions.
- Design data structures and taxonomies that support standardization, integration, and alignment with business processes.
- Deliver technical leadership through analytical thinking, innovation, and detailed specifications.
- Drive data product execution and adoption through a metrics-based approach.
- Define and communicate data strategy for credit products, aligned with PayPal’s technical direction, evolving credit strategies, and the external data ecosystem.
- Strong product sense to identify data challenges and opportunities, and assess the impact of data-driven solutions.
- Leverage enterprise frameworks, governance tools, and reusable architecture patterns for Credit Risk and cross organizations.
- Foster influential cross-functional relationships through collaboration, proactive planning, and decisive leadership to design scalable solutions across platforms and products.
Technical Leadership Qualities:
- Strong collaboration skills and ability to influence across all organizations and levels within the company.
- Ability to communicate clearly and succinctly to all levels within the organization—translating the organizations goals into execution plans & metrics.
- Possess the ability to connect, engage and lead with empathy.
- Motivate others through a shared vision and confidence that empowers employees and teams to perform at their best.
- Demonstrate ability to delegate work.
- Operate with transparency and honesty in all interactions.
What do you need to bring—
Qualifications
- 12+ years of experience in enterprise data management, with deep expertise in data governance, architecture, modelling, and platform design.
- Proven experience enabling data products at scale within large, cross-functional organizations.
- Strong business acumen and interest to deeply understand of PayPal’s credit use cases, data producers, and consumer needs.
- Strong technical acumen with the ability to quickly grasp the technical details of products and systems.
- Expertise in data modelling using domain-driven design principles and a strong grasp of data architecture best practices.
- Proficient in building and optimizing data platforms and pipelines using streaming and batch processing, including Lambda and Kappa architectures.
- Technical proficiency data management stacks and techniques such as Python, SQL, BigQuery, Airflow, Spark, Kafka, and data modelling, with experience in integrating ML/AI into scalable data solutions.
- Experience with cloud-based data platforms, preferably GCP, and associated services.
- Demonstrated success in supporting ML/AI workloads (e.g., feature stores, training pipelines, model monitoring) and integrating AI into data workflows.
- Familiarity with AI-enhanced data systems (e.g., automated data discovery, quality monitoring, ML-assisted ETL).
- Experience leveraging ML/AI to manage and optimize data infrastructure, including AIOps for pipeline monitoring, intelligent data quality alerting, automated schema drift detection, and AI-driven resource scaling for data platforms.
- Hands-on understanding of ML/AI model explainability techniques and the ability to build data pipelines and infrastructure that support interpretability requirements, particularly in regulated environments such as credit risk.
- Able to independently drive complex and ambiguous problem-solving efforts, balancing technical and strategic trade-offs.
- Excellent verbal and written communication skills with the ability to collaborate effectively across engineering, risk, product, and compliance teams.
- Adaptive, self-motivated, and comfortable navigating shifting priorities while maintaining focus on the end-to-end impact of data across systems.
Bonus Qualifications
- Experience in financial services, with a strong preference for exposure to the credit risk domain.
- Hands-on experience tracking and operating ML/AI evaluation frameworks, including offline evaluation pipelines, benchmark datasets, A/B testing infrastructure, and continuous model performance tracking to ensure production model reliability and fairness.
- Proven experience bridging the gap between data engineering and machine learning engineering.
Education:
BS or advanced degree in Engineering, Computer Science, or related technical field.
Note: this is an IC Senior Manager level position
Subsidiary:
PayPal
Travel Percent:
0
The base pay for this role will depend on where you work and the relevant experience and expertise you bring. The expected range of pay for this role by location is:
Primary Location | Pay Range:
San Jose, California | ($176,500.00 - $262,350.00 Annually)
Additional Location(s) | Pay Range:
No other locations are assigned to this requisition currently.
Additional compensation for this role may include an annual performance bonus, equity, or other incentive compensation, as applicable. PayPal does not charge candidates any fees for courses, applications, resume reviews, interviews, background checks, or onboarding. When making an application directly, we will never ask you to share passwords, one-time passcodes (OTP), or verification codes. Any such request is a red flag and likely part of a scam. All communication regarding your application will come from official PayPal email domains. If you suspect fraudulent activity, please report it immediately. To learn more about how to identify and avoid recruitment fraud please visit https://careers.pypl.com/contact-us.
For the majority of employees, PayPal's balanced hybrid work model offers 3 days in the office for effective in-person collaboration and 2 days at your choice of either the PayPal office or your home workspace, ensuring that you equally have the benefits and conveniences of both locations.
Our Benefits:
At PayPal, we’re committed to building an equitable and inclusive global economy. And we can’t do this without our most important asset—you. That’s why we offer comprehensive, choice-based programs, to support all aspects of personal wellbeing—physical, emotional, and financial—delivering meaningful value where it matters most. We strive to create a flexible, balanced work culture with a holistic approach to benefits, including generous paid time off, healthcare coverage for you and your family, and resources to create financial security and support your mental health.
Who We Are:
Commitment to Diversity and Inclusion
PayPal provides equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, pregnancy, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state, or local law. In addition, PayPal will provide reasonable accommodations for qualified individuals with disabilities. If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us at paypalglobaltalentacquisition@paypal.com.
Belonging at PayPal:
Our employees are central to advancing our mission, and we strive to create an environment where everyone can do their best work with a sense of purpose and belonging. Belonging at PayPal means creating a workplace with a sense of acceptance and security where all employees feel included and valued. We are proud to have a diverse workforce reflective of the merchants, consumers, and communities that we serve, and we continue to take tangible actions to cultivate inclusivity and belonging at PayPal.
Any general requests for consideration of your skills, please Join our Talent Community.
We know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates. Please don’t hesitate to apply.
The Company
PayPal has been revolutionizing commerce globally for more than 25 years. Creating innovative experiences that make moving money, selling, and shopping simple, personalized, and secure, PayPal empowers consumers and businesses in approximately 200 markets to join and thrive in the global economy.
We operate a global, two-sided network at scale that connects hundreds of millions of merchants and consumers. We help merchants and consumers connect, transact, and complete payments, whether they are online or in person. PayPal is more than a connection to third-party payment networks. We provide proprietary payment solutions accepted by merchants that enable the completion of payments on our platform on behalf of our customers.
We offer our customers the flexibility to use their accounts to purchase and receive payments for goods and services, as well as the ability to transfer and withdraw funds. We enable consumers to exchange funds more safely with merchants using a variety of funding sources, which may include a bank account, a PayPal or Venmo account balance, PayPal and Venmo branded credit products, a credit card, a debit card, certain cryptocurrencies, or other stored value products such as gift cards, and eligible credit card rewards. Our PayPal, Venmo, and Xoom products also make it safer and simpler for friends and family to transfer funds to each other. We offer merchants an end-to-end payments solution that provides authorization and settlement capabilities, as well as instant access to funds and payouts. We also help merchants connect with their customers, process exchanges and returns, and manage risk. We enable consumers to engage in cross-border shopping and merchants to extend their global reach while reducing the complexity and friction involved in enabling cross-border trade.
Our beliefs are the foundation for how we conduct business every day. We live each day guided by our core values of Inclusion, Innovation, Collaboration, and Wellness. Together, our values ensure that we work together as one global team with our customers at the center of everything we do – and they push us to ensure we take care of ourselves, each other, and our communities.
Job Summary:
This role requires strong product sense to directly support the business. Scale data management capabilities and drive high-impact, cross-functional initiatives that shape the future of data at GCSC Risk. Provides technical leadership, business and technical strategic alignment, and advanced problem-solving at an org-wide level. To successfully execute on cross-org initiatives, we need someone who can innovate, drive technical strategy, and ensure that our data solutions are scalable, efficient, and aligned with GCSC Risk’s broader goals.
As the Senior Staff Engineer, Global Risk Data Management within the Credit Infrastructure and Data organization, you will implement common data practices across functional areas that drives standardization, quality, ease of access, accelerates governance practices by treating data as a product and facilitates a data-driven culture across PayPal where data is considered a strategic asset and treated accordingly—with the proper controls and quality.
Essential Responsibilities:
- Lead complex data engineering projects, ensuring they meet business objectives and deliver actionable insights.
- Develop advanced data architectures and pipelines to analyze large datasets and solve complex business problems.
- Collaborate with senior leadership to identify data-driven opportunities for business growth and efficiency.
- Implement best practices for data management, analysis, and visualization.
- Ensure data governance and compliance with relevant regulations and standards.
- Provide mentorship and technical guidance to the data engineering team.
Minimum Qualifications:
8+ years relevant experience and a Bachelor’s degree OR Any equivalent combination of education and experience.
Your way to impact
This position will report to the Head of Credit Internal Data and will require a significant amount of collaboration across all business, technologies, product & platform teams within PayPal and its associated business entities.
We are helping rethink how we use data to make credit decisions at PayPal to fulfill the needs of our customers (both internal and external). We drive the creation of delightful, frictionless, and compliant payment experiences while maximizing the value of our data. In this role you will get an opportunity to support the implementation and adoption of the Enterprise Data Management & Governance (EDG) program across the company.
Your day to day
Position Responsibilities:
- Must be a self-starter, work independently or as a team member. Proactively remove obstacles to ensure timely delivery of product and goals.
- Write clean and solid code that scales over PB of data and enforce engineering excellence in the organization.
- Improve data management efficiency through AI capabilities, better process and best practices.
- Embed Privacy-by-Design principles into all data solutions and ensure compliance with regulatory requirements.
- Provide expertise across the data product development lifecycle—spanning data engineering, architecture, and analytics—to design and deliver reusable, accessible, and high-quality data solutions.
- Design data structures and taxonomies that support standardization, integration, and alignment with business processes.
- Deliver technical leadership through analytical thinking, innovation, and detailed specifications.
- Drive data product execution and adoption through a metrics-based approach.
- Define and communicate data strategy for credit products, aligned with PayPal’s technical direction, evolving credit strategies, and the external data ecosystem.
- Strong product sense to identify data challenges and opportunities, and assess the impact of data-driven solutions.
- Leverage enterprise frameworks, governance tools, and reusable architecture patterns for Credit Risk and cross organizations.
- Foster influential cross-functional relationships through collaboration, proactive planning, and decisive leadership to design scalable solutions across platforms and products.
Technical Leadership Qualities:
- Strong collaboration skills and ability to influence across all organizations and levels within the company.
- Ability to communicate clearly and succinctly to all levels within the organization—translating the organizations goals into execution plans & metrics.
- Possess the ability to connect, engage and lead with empathy.
- Motivate others through a shared vision and confidence that empowers employees and teams to perform at their best.
- Demonstrate ability to delegate work.
- Operate with transparency and honesty in all interactions.
What do you need to bring—
Qualifications
- 12+ years of experience in enterprise data management, with deep expertise in data governance, architecture, modelling, and platform design.
- Proven experience enabling data products at scale within large, cross-functional organizations.
- Strong business acumen and interest to deeply understand of PayPal’s credit use cases, data producers, and consumer needs.
- Strong technical acumen with the ability to quickly grasp the technical details of products and systems.
- Expertise in data modelling using domain-driven design principles and a strong grasp of data architecture best practices.
- Proficient in building and optimizing data platforms and pipelines using streaming and batch processing, including Lambda and Kappa architectures.
- Technical proficiency data management stacks and techniques such as Python, SQL, BigQuery, Airflow, Spark, Kafka, and data modelling, with experience in integrating ML/AI into scalable data solutions.
- Experience with cloud-based data platforms, preferably GCP, and associated services.
- Demonstrated success in supporting ML/AI workloads (e.g., feature stores, training pipelines, model monitoring) and integrating AI into data workflows.
- Familiarity with AI-enhanced data systems (e.g., automated data discovery, quality monitoring, ML-assisted ETL).
- Experience leveraging ML/AI to manage and optimize data infrastructure, including AIOps for pipeline monitoring, intelligent data quality alerting, automated schema drift detection, and AI-driven resource scaling for data platforms.
- Hands-on understanding of ML/AI model explainability techniques and the ability to build data pipelines and infrastructure that support interpretability requirements, particularly in regulated environments such as credit risk.
- Able to independently drive complex and ambiguous problem-solving efforts, balancing technical and strategic trade-offs.
- Excellent verbal and written communication skills with the ability to collaborate effectively across engineering, risk, product, and compliance teams.
- Adaptive, self-motivated, and comfortable navigating shifting priorities while maintaining focus on the end-to-end impact of data across systems.
Bonus Qualifications
- Experience in financial services, with a strong preference for exposure to the credit risk domain.
- Hands-on experience tracking and operating ML/AI evaluation frameworks, including offline evaluation pipelines, benchmark datasets, A/B testing infrastructure, and continuous model performance tracking to ensure production model reliability and fairness.
- Proven experience bridging the gap between data engineering and machine learning engineering.
Education:
BS or advanced degree in Engineering, Computer Science, or related technical field.
Note: this is an IC Senior Manager level position
Subsidiary:
PayPal
Travel Percent:
0
The base pay for this role will depend on where you work and the relevant experience and expertise you bring. The expected range of pay for this role by location is:
Primary Location | Pay Range:
San Jose, California | ($176,500.00 - $262,350.00 Annually)
Additional Location(s) | Pay Range:
No other locations are assigned to this requisition currently.
Additional compensation for this role may include an annual performance bonus, equity, or other incentive compensation, as applicable. PayPal does not charge candidates any fees for courses, applications, resume reviews, interviews, background checks, or onboarding. When making an application directly, we will never ask you to share passwords, one-time passcodes (OTP), or verification codes. Any such request is a red flag and likely part of a scam. All communication regarding your application will come from official PayPal email domains. If you suspect fraudulent activity, please report it immediately. To learn more about how to identify and avoid recruitment fraud please visit https://careers.pypl.com/contact-us.
For the majority of employees, PayPal's balanced hybrid work model offers 3 days in the office for effective in-person collaboration and 2 days at your choice of either the PayPal office or your home workspace, ensuring that you equally have the benefits and conveniences of both locations.
Our Benefits:
At PayPal, we’re committed to building an equitable and inclusive global economy. And we can’t do this without our most important asset—you. That’s why we offer comprehensive, choice-based programs, to support all aspects of personal wellbeing—physical, emotional, and financial—delivering meaningful value where it matters most. We strive to create a flexible, balanced work culture with a holistic approach to benefits, including generous paid time off, healthcare coverage for you and your family, and resources to create financial security and support your mental health.
Who We Are:
Commitment to Diversity and Inclusion
PayPal provides equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, pregnancy, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state, or local law. In addition, PayPal will provide reasonable accommodations for qualified individuals with disabilities. If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us at paypalglobaltalentacquisition@paypal.com.
Belonging at PayPal:
Our employees are central to advancing our mission, and we strive to create an environment where everyone can do their best work with a sense of purpose and belonging. Belonging at PayPal means creating a workplace with a sense of acceptance and security where all employees feel included and valued. We are proud to have a diverse workforce reflective of the merchants, consumers, and communities that we serve, and we continue to take tangible actions to cultivate inclusivity and belonging at PayPal.
Any general requests for consideration of your skills, please Join our Talent Community.
We know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates. Please don’t hesitate to apply.
See all 279+ Senior Staff Data Engineer jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Senior Staff Data Engineer roles.
Get Access To All JobsTips for Finding Green Card Sponsorship as a Senior Staff Data Engineer
Document your technical specialization before applying
PERM audits for senior data engineering roles often scrutinize whether the job duties genuinely require specialized skills. Catalog your experience with specific data platforms, pipeline architectures, and distributed systems so your employer can accurately draft the job description.
Target employers with active PERM filing history
Use the OFLC Wage Search to check whether potential employers have filed PERM applications for data engineering roles. Employers who have navigated the process before move faster and make fewer documentation errors that delay your case.
Verify your degree equivalency meets EB-2 standards
EB-2 requires an advanced degree or a bachelor's degree plus five years of progressive experience. If your credentials come from outside the U.S., get a credential evaluation early so your employer's attorney can confirm the EB-2 pathway before PERM is filed.
Search for green card sponsoring jobs on Migrate Mate
Filter by Senior Staff Data Engineer roles where employers have PERM and I-140 filing history. Migrate Mate surfaces that sponsorship data directly, so you're not asking about green card willingness cold in your first interview.
Negotiate PERM timing into your offer discussion
Ask the hiring manager whether PERM filing can begin within your first year of employment. Some companies batch filings annually, which can add months to your wait. Getting a written commitment on timing protects you before you resign from your current status.
Understand how your priority date affects concurrent filing
Once your employer files the I-140, USCIS may allow you to concurrently file I-485 adjustment of status if a visa number is immediately available for your country and preference category. For EB-2 candidates from non-backlogged countries, this can cut the overall timeline significantly.
Senior Staff Data Engineer jobs are hiring across the US. Find yours.
Find Senior Staff Data Engineer JobsSenior Staff Data Engineer Green Card Sponsorship: Frequently Asked Questions
Does a Senior Staff Data Engineer role qualify for EB-2 or EB-3 sponsorship?
Most Senior Staff Data Engineer positions qualify for EB-2 because they require at minimum a bachelor's degree in computer science, engineering, or a related field, and typically involve specialized expertise that supports an advanced-degree professional classification. If your employer structures the role at a lower technical threshold, EB-3 remains available. The job description drafted for PERM is what determines which category fits.
How does PERM green card sponsorship differ from H-1B sponsorship for this role?
H-1B is a temporary nonimmigrant status capped at 85,000 slots annually with a lottery for most applicants. PERM-based green card sponsorship has no annual cap at the petition level and leads to permanent residency rather than a renewable work authorization period. The PERM process is longer upfront, typically 12 to 24 months before the I-140 stage, but there's no lottery risk and the outcome is permanent status rather than a visa requiring renewal.
What does the PERM recruitment process look like for a senior-level data engineering role?
Your employer must conduct a DOL-prescribed recruitment campaign, including job postings, newspaper ads, and internal notice, to demonstrate no qualified U.S. worker is available at the offered wage. For a Senior Staff Data Engineer, the job requirements in those postings must match what you actually do, because PERM audits frequently flag inflated or overly narrow duties. The recruitment window runs 30 to 180 days before the PERM application is submitted.
How can I find Senior Staff Data Engineer jobs where employers are willing to sponsor a green card?
Search on Migrate Mate, which filters roles by employers with documented PERM and I-140 filing history for data engineering positions. This lets you focus outreach on companies that have already navigated the sponsorship process rather than approaching employers cold. Asking about green card sponsorship without that data often screens you out before you reach a hiring manager.
Can I switch jobs after my employer files the I-140 for a Senior Staff Data Engineer role?
Once your I-140 has been approved and you've held that approval for 180 days, portability rules under AC21 let you change to a new job in the same or a similar occupational classification without losing your priority date. A Senior Staff Data Engineer moving to another data engineering role at the same or higher seniority typically qualifies. USCIS evaluates the similarity of duties and required skills, not the exact job title.
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