Data Science Engineer Jobs at JPMorganChase with Visa Sponsorship
Data Science Engineer jobs at JPMorganChase span its technology and financial services divisions, covering fraud detection and risk modeling to algorithmic trading and enterprise analytics. The firm has a consistent track record of sponsoring work visas for this function, making it a viable target for international candidates with strong quantitative and engineering backgrounds.
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Get Access To All JobsINTRODUCTION
We have an exciting and rewarding opportunity for you to take your Data engineering career to the next level.
As a Lead Data Engineer JPMorgan Chase within the Consumer & Community Bank - Branch Workplace Technology team, you serve as an expert Data Engineer on agile teams to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for leading critical data functions from architecture, modelling, transformation, modernization, migration, protection, security and governance in support of CCB Branch initiatives and objectives.
Job responsibilities
- Deliver end-to-end data solutions on cloud infrastructure leveraging the latest technologies and the best industry practices.
- Use domain modelling techniques to allow us to build best in class business products.
- Guide the evolution of logical and physical data models to support emerging business use cases and technological advancements.
- Build solutions that avoid single points of failure, using scalable architectural patterns.
- Develop secure code so that our customers and ourselves are protected from malicious actors.
- Promptly investigate and fix issues and ensure they do not resurface in the future.
- Make sure our releases happen with zero downtime for our end-users and keep us up to date by continuously updating our technologies and patterns.
- Structure software so that it is easy to understand, test and evolve.
- See that our data is written and read in a way that's optimized for our needs.
- Keep an eye on performance, making sure we use the right approach to identify and solve problems and ensure our systems are reliable and easy to operate.
- Support the products you've built through their entire lifecycle, including in production and during incident management.
Required qualifications, capabilities and skills
- Formal training or certification on data engineering concepts and 5+ years applied experience.
- Recent hands-on professional experience as a data engineer.
- Expertise with Relational databases like Oracle, SQL Server and Postgres.
- Proficient with AWS cloud technologies and distributed systems.
- Proficiency with data transformation frameworks and data pipeline orchestration tools.
- Experience with data governance frameworks.
- Prior experience with managing large volumes of data and optimizing data processing.
- Experience in coding with Java or Python programming language and experience in designing and implementing effective tests (unit, component, integration, end-to-end, performance, etc.).
- Excellent written and verbal communication skills.
- Understanding of event-based architecture, data streaming and messaging frameworks.
- Coach other team members on coding practices, design principles, and implementation patterns that lead to high-quality maintainable solutions.
- Manage stakeholders and effectively prioritize work across multiple work streams.
Preferred qualifications, capabilities and skills
- Experience in working in a highly regulated environment / industry.
- Understanding of incremental data processing and versioning.
- Understanding of RESTful APIs and web technologies.
About us
Chase is a leading financial services firm, helping nearly half of America’s households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs.
We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
Equal Opportunity Employer/Disability/Veterans
ABOUT THE TEAM
Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We’re proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions – all while ranking first in customer satisfaction.
INTRODUCTION
We have an exciting and rewarding opportunity for you to take your Data engineering career to the next level.
As a Lead Data Engineer JPMorgan Chase within the Consumer & Community Bank - Branch Workplace Technology team, you serve as an expert Data Engineer on agile teams to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for leading critical data functions from architecture, modelling, transformation, modernization, migration, protection, security and governance in support of CCB Branch initiatives and objectives.
Job responsibilities
- Deliver end-to-end data solutions on cloud infrastructure leveraging the latest technologies and the best industry practices.
- Use domain modelling techniques to allow us to build best in class business products.
- Guide the evolution of logical and physical data models to support emerging business use cases and technological advancements.
- Build solutions that avoid single points of failure, using scalable architectural patterns.
- Develop secure code so that our customers and ourselves are protected from malicious actors.
- Promptly investigate and fix issues and ensure they do not resurface in the future.
- Make sure our releases happen with zero downtime for our end-users and keep us up to date by continuously updating our technologies and patterns.
- Structure software so that it is easy to understand, test and evolve.
- See that our data is written and read in a way that's optimized for our needs.
- Keep an eye on performance, making sure we use the right approach to identify and solve problems and ensure our systems are reliable and easy to operate.
- Support the products you've built through their entire lifecycle, including in production and during incident management.
Required qualifications, capabilities and skills
- Formal training or certification on data engineering concepts and 5+ years applied experience.
- Recent hands-on professional experience as a data engineer.
- Expertise with Relational databases like Oracle, SQL Server and Postgres.
- Proficient with AWS cloud technologies and distributed systems.
- Proficiency with data transformation frameworks and data pipeline orchestration tools.
- Experience with data governance frameworks.
- Prior experience with managing large volumes of data and optimizing data processing.
- Experience in coding with Java or Python programming language and experience in designing and implementing effective tests (unit, component, integration, end-to-end, performance, etc.).
- Excellent written and verbal communication skills.
- Understanding of event-based architecture, data streaming and messaging frameworks.
- Coach other team members on coding practices, design principles, and implementation patterns that lead to high-quality maintainable solutions.
- Manage stakeholders and effectively prioritize work across multiple work streams.
Preferred qualifications, capabilities and skills
- Experience in working in a highly regulated environment / industry.
- Understanding of incremental data processing and versioning.
- Understanding of RESTful APIs and web technologies.
About us
Chase is a leading financial services firm, helping nearly half of America’s households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs.
We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
Equal Opportunity Employer/Disability/Veterans
ABOUT THE TEAM
Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We’re proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions – all while ranking first in customer satisfaction.
See all Data Science Engineer Jobs at JPMorganChase
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Data Science Engineer Jobs at JPMorganChase.
Get Access To All JobsTips for Finding Data Science Engineer Jobs at JPMorganChase
Align your credentials to financial data domains
JPMorganChase prioritizes Data Science Engineers with experience in risk modeling, fraud detection, or quantitative finance. Frame your resume and portfolio around financial datasets, time-series analysis, or regulatory reporting projects before you apply.
Target roles in tech hubs with LCA filings
JPMorganChase's data science engineering roles are concentrated in New York and Delaware. DOL Labor Condition Applications are filed by work location, so applying to postings in these cities gives you the clearest picture of prevailing wage levels for your offer negotiation.
Clarify your visa category during the offer stage
JPMorganChase sponsors multiple visa types for this function. If you hold Australian citizenship, ask specifically about E-3 processing, since it moves faster than H-1B and isn't subject to the annual lottery. Clarify which pathway HR intends to file before you resign from your current role.
Confirm your H-1B cap status before registering
If you're pursuing H-1B sponsorship and have previously held cap-exempt status at a university or nonprofit research institution, confirm with USCIS whether you remain cap-exempt. JPMorganChase is a cap-subject employer, so lottery selection affects your start date.
Use Migrate Mate to filter open roles by sponsorship type
JPMorganChase posts Data Science Engineer roles across multiple internal business lines, which makes it hard to track sponsorship-eligible openings manually. Migrate Mate filters verified sponsoring employers by role and visa type, so you can find the right posting faster.
Prepare for a multi-round technical process specific to finance
JPMorganChase's Data Science Engineer interviews typically include a take-home modeling case and system design rounds focused on real-time data pipelines or ML platform infrastructure. Preparing finance-specific examples, rather than general ML use cases, meaningfully improves your odds of advancing.
Frequently Asked Questions
Does JPMorganChase sponsor H-1B visas for Data Science Engineers?
Yes, JPMorganChase sponsors H-1B visas for Data Science Engineers and has done so consistently across its technology and analytics divisions. Because JPMorganChase is a cap-subject employer, H-1B sponsorship is tied to USCIS's annual lottery registration window, which typically opens in March. If you're selected, your start date will be October 1 of that fiscal year at the earliest.
How do I apply for Data Science Engineer jobs at JPMorganChase?
Applications go through JPMorganChase's careers portal at jpmorganchase.com. Roles are listed under both JPMorgan and Chase branding, so search both. You can also browse verified, sponsorship-confirmed Data Science Engineer openings at JPMorganChase on Migrate Mate, which filters specifically for roles open to visa-sponsored candidates and updates regularly as new postings go live.
Which visa types does JPMorganChase commonly use for Data Science Engineers?
JPMorganChase sponsors H-1B, H-1B1 visa, and E-3 visas for Data Science Engineers, along with employment-based Green Card pathways including EB-2 and EB-3. H-1B is most common for nationals from countries without a dedicated treaty visa. Australian citizens can request E-3 visa sponsorship, which bypasses the lottery entirely and allows for faster processing through a U.S. consulate.
What qualifications does JPMorganChase expect for Data Science Engineer roles?
Most postings require a bachelor's or master's degree in computer science, statistics, applied mathematics, or a closely related quantitative field. Hands-on experience with Python, SQL, and ML frameworks such as PyTorch or scikit-learn is expected. Roles that sit within trading, risk, or compliance functions often require familiarity with financial data structures, regulatory constraints, or real-time systems at scale.
How do I understand the timeline from offer to work authorization at JPMorganChase?
Timeline depends on your visa type. E-3 and H-1B1 visa petitions can be consular-processed in weeks once your employer files the Labor Condition Application with the DOL. Standard H-1B approval through USCIS takes three to five months without premium processing. JPMorganChase's immigration team typically manages the LCA and petition filings internally, but confirm who handles each step during the offer negotiation so you're not caught off guard by processing delays.