Data Analytics Engineer Jobs in USA with Visa Sponsorship
Data analytics engineer roles are among the most consistently sponsored positions in the U.S. tech industry. Employers regularly file H-1B visa and O-1 visa petitions for this title, and a bachelor's degree in computer science, statistics, or a related field typically satisfies the specialty occupation requirement. For detailed occupation requirements, see the O*NET profile.
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Get Access To All JobsWho we are looking for
We are looking for a senior VP-level hands-on leader who can bridge System Analysis and Quality Engineering for the Alpha and Middle Office Technology platforms.
This role requires a strong domain-led technologist with 12–15+ years of experience across Front and Middle Office, who can translate complex business needs into clear requirements and ensure high-quality delivery through modern QA practices and automation.
The ideal candidate:
- Operates comfortably across business, product, and engineering
- Drives end-to-end ownership from requirements through validation
- Brings strong QA transformation mindset (automation, cloud, event-driven systems)
- Is hands-on, execution-oriented, and thrives in fast-paced, high-impact programs
- Understands End to End System integration and data flows
- Owns System integration documents (User guides, manuals, Process and Data Flows, etc.)
What you will be responsible for
System Analysis & Product Alignment
- Partner with business, product, and operations teams to define and refine requirements for complex Middle Office platforms
- Own requirement lifecycle – from discovery, documentation, prioritization to traceability
- Translate business needs into clear functional specifications, user stories, and acceptance criteria
- Create Use case documents and support Test Data Preparation
- Drive functional design discussions and ensure alignment across stakeholders
- Act as a bridge between business and engineering, ensuring clarity and reducing delivery risk
Quality Engineering & Delivery Ownership
- Lead end-to-end testing strategy, planning, and execution across multiple agile teams
- Own and drive test automation strategy – frameworks, tools, and coverage across functional, integration, and regression testing
- Ensure strong defect management discipline and production-quality outcomes
- Drive adoption of modern QA practices in cloud-native and event-driven environments
- Thrive for 100% Test Automation (QA, Regression, End to End)
- Monitor and communicate quality metrics, risks, and readiness to leadership
- Own End to End testing for System integration
Execution & Leadership
- Provide day-to-day leadership to SA and QA teams (onshore/offshore)
- Drive SDLC standardization and best practices across teams
- Ensure successful execution of large, cross-functional programs with tight timelines
- Work directly with senior business and technology leadership, with minimal oversight
- Mentor teams and foster a culture of ownership, collaboration, and continuous improvement
What we value
- Strong analytical thinking with ability to break down complex business problems
- Ability to operate as a trusted partner to business stakeholders
- Hands-on mindset with a bias for execution over coordination
- Leadership presence with ability to influence across global teams
- High ownership, accountability, and ability to manage competing priorities
- Clear and effective communication across business and technical audiences
Basic Qualifications
- 12–15+ years of experience in financial services technology (Front/Middle Office)
- Strong experience in both System Analysis and QA/Testing leadership roles
- Proven ability to translate business requirements into technical solutions and validation strategies
- Extensive experience in Agile story writing, including creation of well-defined user stories, acceptance criteria, refinement, backlog grooming, and ensuring traceability across requirements, development, and testing cycles
- Gather, analyze, and document business and system requirements from stakeholders
- Deep experience in functional, integration, regression, and performance testing
- Hands-on experience with test automation tools and frameworks
- Experience working in agile delivery models with distributed teams
- Proficiency in SQL for data analysis, validation, and troubleshooting
Preferred Qualifications
- Strong domain expertise in Middle Office, Cash, IBOR (Investment Book of Record), Trade Processing
- Expertise in Swift MT/MX Messages and ISO 20022
- Experience working in cloud-native architectures (AWS/Azure)
- Exposure to event-driven systems, messaging platforms (Kafka), and microservices
- Experience with tools such as Selenium, Cucumber, JUnit/TestNG, Jenkins, Git, Maven
- Strong understanding of data validation, reconciliation, and downstream impacts
- Experience driving QA transformation and automation at scale
- Ability to troubleshoot data and application issues end-to-end
Education
- Bachelor’s degree in Computer Science, Engineering, Finance or related field
Work Requirement
- 3 days onsite
- Flexible alignment with global teams (onshore/offshore collaboration required)
Salary Range:
$115,000 - $205,000 Annual
The range quoted above applies to the role in the primary location specified. If the candidate would ultimately work outside of the primary location above, the applicable range could differ.
Employees are eligible to participate in State Street’s comprehensive benefits program, which includes: our retirement savings plan (401K) with company match; insurance coverage including basic life, medical, dental, vision, long-term disability, and other optional additional coverages; paid-time off including vacation, sick leave, short term disability, and family care responsibilities; access to our Employee Assistance Program; incentive compensation including eligibility for annual performance-based awards (excluding certain sales roles subject to sales incentive plans); and, eligibility for certain tax advantaged savings plans.
About State Street
Across the globe, institutional investors rely on us to help them manage risk, respond to challenges, and drive performance and profitability. We keep our clients at the heart of everything we do, and smart, engaged employees are essential to our continued success.
We are committed to fostering an environment where every employee feels valued and empowered to reach their full potential. As an essential partner in our shared success, you’ll benefit from inclusive development opportunities, flexible work-life support, paid volunteer days, and vibrant employee networks that keep you connected to what matters most. Join us in shaping the future.
As an Equal Opportunity Employer, we consider all qualified applicants for all positions without regard to race, creed, color, religion, national origin, ancestry, ethnicity, age, disability, genetic information, sex, sexual orientation, gender identity or expression, citizenship, marital status, domestic partnership or civil union status, familial status, military and veteran status, and other characteristics protected by applicable law.
Job Application Disclosure:
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
Who we are looking for
We are looking for a senior VP-level hands-on leader who can bridge System Analysis and Quality Engineering for the Alpha and Middle Office Technology platforms.
This role requires a strong domain-led technologist with 12–15+ years of experience across Front and Middle Office, who can translate complex business needs into clear requirements and ensure high-quality delivery through modern QA practices and automation.
The ideal candidate:
- Operates comfortably across business, product, and engineering
- Drives end-to-end ownership from requirements through validation
- Brings strong QA transformation mindset (automation, cloud, event-driven systems)
- Is hands-on, execution-oriented, and thrives in fast-paced, high-impact programs
- Understands End to End System integration and data flows
- Owns System integration documents (User guides, manuals, Process and Data Flows, etc.)
What you will be responsible for
System Analysis & Product Alignment
- Partner with business, product, and operations teams to define and refine requirements for complex Middle Office platforms
- Own requirement lifecycle – from discovery, documentation, prioritization to traceability
- Translate business needs into clear functional specifications, user stories, and acceptance criteria
- Create Use case documents and support Test Data Preparation
- Drive functional design discussions and ensure alignment across stakeholders
- Act as a bridge between business and engineering, ensuring clarity and reducing delivery risk
Quality Engineering & Delivery Ownership
- Lead end-to-end testing strategy, planning, and execution across multiple agile teams
- Own and drive test automation strategy – frameworks, tools, and coverage across functional, integration, and regression testing
- Ensure strong defect management discipline and production-quality outcomes
- Drive adoption of modern QA practices in cloud-native and event-driven environments
- Thrive for 100% Test Automation (QA, Regression, End to End)
- Monitor and communicate quality metrics, risks, and readiness to leadership
- Own End to End testing for System integration
Execution & Leadership
- Provide day-to-day leadership to SA and QA teams (onshore/offshore)
- Drive SDLC standardization and best practices across teams
- Ensure successful execution of large, cross-functional programs with tight timelines
- Work directly with senior business and technology leadership, with minimal oversight
- Mentor teams and foster a culture of ownership, collaboration, and continuous improvement
What we value
- Strong analytical thinking with ability to break down complex business problems
- Ability to operate as a trusted partner to business stakeholders
- Hands-on mindset with a bias for execution over coordination
- Leadership presence with ability to influence across global teams
- High ownership, accountability, and ability to manage competing priorities
- Clear and effective communication across business and technical audiences
Basic Qualifications
- 12–15+ years of experience in financial services technology (Front/Middle Office)
- Strong experience in both System Analysis and QA/Testing leadership roles
- Proven ability to translate business requirements into technical solutions and validation strategies
- Extensive experience in Agile story writing, including creation of well-defined user stories, acceptance criteria, refinement, backlog grooming, and ensuring traceability across requirements, development, and testing cycles
- Gather, analyze, and document business and system requirements from stakeholders
- Deep experience in functional, integration, regression, and performance testing
- Hands-on experience with test automation tools and frameworks
- Experience working in agile delivery models with distributed teams
- Proficiency in SQL for data analysis, validation, and troubleshooting
Preferred Qualifications
- Strong domain expertise in Middle Office, Cash, IBOR (Investment Book of Record), Trade Processing
- Expertise in Swift MT/MX Messages and ISO 20022
- Experience working in cloud-native architectures (AWS/Azure)
- Exposure to event-driven systems, messaging platforms (Kafka), and microservices
- Experience with tools such as Selenium, Cucumber, JUnit/TestNG, Jenkins, Git, Maven
- Strong understanding of data validation, reconciliation, and downstream impacts
- Experience driving QA transformation and automation at scale
- Ability to troubleshoot data and application issues end-to-end
Education
- Bachelor’s degree in Computer Science, Engineering, Finance or related field
Work Requirement
- 3 days onsite
- Flexible alignment with global teams (onshore/offshore collaboration required)
Salary Range:
$115,000 - $205,000 Annual
The range quoted above applies to the role in the primary location specified. If the candidate would ultimately work outside of the primary location above, the applicable range could differ.
Employees are eligible to participate in State Street’s comprehensive benefits program, which includes: our retirement savings plan (401K) with company match; insurance coverage including basic life, medical, dental, vision, long-term disability, and other optional additional coverages; paid-time off including vacation, sick leave, short term disability, and family care responsibilities; access to our Employee Assistance Program; incentive compensation including eligibility for annual performance-based awards (excluding certain sales roles subject to sales incentive plans); and, eligibility for certain tax advantaged savings plans.
About State Street
Across the globe, institutional investors rely on us to help them manage risk, respond to challenges, and drive performance and profitability. We keep our clients at the heart of everything we do, and smart, engaged employees are essential to our continued success.
We are committed to fostering an environment where every employee feels valued and empowered to reach their full potential. As an essential partner in our shared success, you’ll benefit from inclusive development opportunities, flexible work-life support, paid volunteer days, and vibrant employee networks that keep you connected to what matters most. Join us in shaping the future.
As an Equal Opportunity Employer, we consider all qualified applicants for all positions without regard to race, creed, color, religion, national origin, ancestry, ethnicity, age, disability, genetic information, sex, sexual orientation, gender identity or expression, citizenship, marital status, domestic partnership or civil union status, familial status, military and veteran status, and other characteristics protected by applicable law.
Job Application Disclosure:
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
See all 7,207+ Data Analytics Engineer Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Data Analytics Engineer roles.
Get Access To All JobsTips for Finding Visa Sponsorship as a Data Analytics Engineer
Target companies with a history of H-1B filings
Large tech companies, financial institutions, and healthcare analytics firms file H-1B petitions for data analytics engineers at high rates. Focusing your search on employers with consistent filing histories significantly improves your odds of securing sponsorship.
Emphasize your full data stack in applications
Employers sponsoring this role want candidates who can handle ingestion, transformation, and visualization end to end. Highlighting proficiency in tools like dbt, Spark, and Airflow signals the depth that justifies the time and cost of sponsorship.
Frame your degree in terms of specialty occupation
USCIS requires a specific degree nexus for H-1B approval. Explicitly connecting your degree in computer science, engineering, or statistics to the analytics engineering role strengthens the specialty occupation argument in your employer's petition.
Pursue roles at companies with cap-exempt status
Universities, nonprofit research organizations, and affiliated entities are exempt from the H-1B lottery cap. Data analytics engineers in academic medical centers or research institutions can receive H-1B approval at any point in the year without lottery risk.
Consider the O-1A if you have standout achievements
If you've published research, spoken at industry conferences, or led high-impact analytics projects, the O-1A visa may be a viable alternative. It bypasses the lottery entirely and is increasingly used by experienced data professionals with documented achievements.
Use Migrate Mate to filter for verified sponsoring employers
Not every job posting that sounds relevant will lead to sponsorship. Migrate Mate surfaces data analytics engineer roles from employers with confirmed sponsorship track records, saving you the time of applying to companies that won't support a visa petition.
Frequently Asked Questions
Does a data analytics engineer role qualify for H-1B sponsorship?
Yes, data analytics engineer is a well-established specialty occupation under H-1B visa criteria. USCIS expects a bachelor's degree or higher in computer science, statistics, information systems, or a closely related field. Roles requiring knowledge of data modeling, pipeline architecture, or statistical analysis typically satisfy the theoretical and practical application standard. Generic titles paired with vague job duties are more likely to face a request for evidence, so detailed job descriptions matter.
What degree do I need for an employer to sponsor me as a data analytics engineer?
A bachelor's degree in computer science, data science, statistics, mathematics, or information systems is the most defensible combination. Degrees in adjacent fields like economics or engineering can work if your coursework included quantitative methods and programming. USCIS evaluates whether the degree is in a specialty directly related to the role, so a business administration degree with no technical coursework is unlikely to qualify without additional credentials or a formal equivalency evaluation.
How competitive is H-1B sponsorship for data analytics engineers compared to other roles?
Data analytics engineer sits in a strong position. It's technical enough to have a clear degree requirement, which helps avoid RFEs, and demand from employers is high enough that many companies view sponsorship as a standard part of hiring for this title. The H-1B lottery still applies, so selection isn't guaranteed, but cap-exempt alternatives, OPT extension periods, and O-1A pathways mean there are multiple ways to stay authorized while pursuing a long-term visa.
Can I get sponsored as a data analytics engineer if my degree is in a non-technical field?
It's harder but not impossible. If your undergraduate degree is in a non-technical field, a master's in data science, computer science, or applied statistics can satisfy the specialty occupation requirement. Alternatively, USCIS allows three years of specialized work experience to substitute for one year of formal education, so significant hands-on experience building analytics infrastructure may compensate for a less technical degree when combined with relevant certifications.
Where can I find data analytics engineer jobs that offer visa sponsorship?
Migrate Mate is built specifically for this. It filters data analytics engineer roles by employers who have a documented history of filing H-1B or other work visa petitions, so you're not wasting applications on companies that won't sponsor. The platform is designed for international job seekers on OPT, H-1B, or other work authorization, and it focuses on roles where sponsorship is a realistic outcome rather than an afterthought.
What is the prevailing wage requirement for sponsored Data Analytics Engineer jobs?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.