Cloud Data Engineer Visa Sponsorship Jobs in New Jersey
New Jersey's cloud data engineer job market spans financial services firms in Jersey City, pharma and life sciences companies across the Route 1 corridor, and major tech employers in Newark and Princeton. Companies like Cognizant, Conduent, and Prudential Financial have consistent H-1B visa sponsorship histories for cloud data roles in this state.
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Get Access To All JobsINTRODUCTION
Join Mizuho as a Cloud Data Engineer!
ROLE OVERVIEW
In this role, you will be responsible for overseeing coordination across data product domain teams and helping them establish delivery excellence through structured onboarding, platform setup, framework adoption, and engineering enablement. The ideal candidate will serve as a strategic bridge between the Core Group and domain teams to drive consistency, scalability, governance, and effective execution across the data platform ecosystem.
KEY RESPONSIBILITIES
- Lead and oversee Core Group enablement initiatives across data product domain teams, ensuring alignment with enterprise cloud data standards and delivery expectations.
- Coordinate with domain teams to support team onboarding, platform adoption, and implementation readiness for enterprise data engineering solutions.
- Drive platform setup and operating model alignment, ensuring teams are equipped with the required environments, standards, and engineering practices.
- Lead rollout and adoption of data engineering frameworks, reusable components, and delivery standards across multiple teams.
- Align closely with cloud data warehouse strategy and implementation, ensuring standardized and scalable data integration, transformation, and consumption patterns.
- Drive producer and consumer alignment by coordinating across upstream (data producers) and downstream (data consumers) teams to ensure consistent data availability, usability, and quality within the data warehouse ecosystem.
- Promote engineering best practices across teams, including code quality, testing, governance, auditability, and scalable development patterns.
- Partner with stakeholders, architects, and delivery teams to ensure successful adoption of cloud data platforms, enterprise frameworks, and curated data solutions.
- Guide strategic decisions related to platform evolution, framework improvements, and scalable onboarding models for domain teams.
- Support a culture of continuous improvement, reusable architecture, and operational excellence across the Core Group ecosystem.
REQUIRED QUALIFICATIONS
- At least 12+ years of experience in data engineering, cloud data platforms, Data warehouse or enterprise data architecture.
- Proven experience leading enterprise platform enablement, onboarding programs, or cross-team cloud data initiatives.
- Strong expertise in Python, PySpark, SQL, Databricks, Snowflake, and cloud-based data architectures.
- Experience building or governing scalable data frameworks, curated data layers, and enterprise engineering standards.
- Strong stakeholder management and ability to coordinate across multiple business and technology teams.
- Experience with data governance, quality controls, and regulatory or enterprise compliance expectations.
CORE COMPETENCIES
- Core Group Leadership & Enablement
- Platform Onboarding & Adoption
- Cloud Data Architecture & Engineering Standards
- Cross-Functional Coordination & Stakeholder Management
- Data Quality, Compliance & Scalable Execution
PREFERRED QUALIFICATIONS
- Experience in large-scale cloud data transformation or platform modernization initiatives.
- Experience in financial services, banking, or regulated data environments.
- Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
The expected base salary ranges from $160k-$200k. Salary offers are based on a wide range of factors including relevant skills, training, experience, education, and, where applicable, certifications and licenses obtained. Market and organizational factors are also considered. In addition to salary and a generous employee benefits package, successful candidates are eligible to receive a discretionary bonus.
OTHER REQUIREMENTS
Mizuho has in place a hybrid working program, with varying opportunities for remote work depending on the nature of the role, needs of your department, as well as local laws and regulatory obligations. Roles in some of our departments have greater in-office requirements that will be communicated to you as part of the recruitment process.
COMPANY OVERVIEW
Mizuho Financial Group, Inc. is the 15th largest bank in the world as measured by total assets of ~ $2 trillion. Mizuho's 60,000 employees worldwide offer comprehensive financial services to clients in 35 countries and 800 offices throughout the Americas, EMEA and Asia. Mizuho Americas is a leading provider of corporate and investment banking services to clients in the US, Canada, and Latin America. Through its acquisition of Greenhill, Mizuho provides M&A, restructuring and private capital advisory capabilities across Americas, Europe and Asia. Mizuho Americas employs approximately 3,500 professionals, and its capabilities span corporate and investment banking, capital markets, equity and fixed income sales & trading, derivatives, FX, custody and research.
Mizuho Americas offers a competitive total rewards package. We are an EEO/AA Employer - M/F/Disability/Veteran. We participate in the E-Verify program. We maintain a drug-free workplace and reserve the right to require pre- and post-hire drug testing as permitted by applicable law.
INTRODUCTION
Join Mizuho as a Cloud Data Engineer!
ROLE OVERVIEW
In this role, you will be responsible for overseeing coordination across data product domain teams and helping them establish delivery excellence through structured onboarding, platform setup, framework adoption, and engineering enablement. The ideal candidate will serve as a strategic bridge between the Core Group and domain teams to drive consistency, scalability, governance, and effective execution across the data platform ecosystem.
KEY RESPONSIBILITIES
- Lead and oversee Core Group enablement initiatives across data product domain teams, ensuring alignment with enterprise cloud data standards and delivery expectations.
- Coordinate with domain teams to support team onboarding, platform adoption, and implementation readiness for enterprise data engineering solutions.
- Drive platform setup and operating model alignment, ensuring teams are equipped with the required environments, standards, and engineering practices.
- Lead rollout and adoption of data engineering frameworks, reusable components, and delivery standards across multiple teams.
- Align closely with cloud data warehouse strategy and implementation, ensuring standardized and scalable data integration, transformation, and consumption patterns.
- Drive producer and consumer alignment by coordinating across upstream (data producers) and downstream (data consumers) teams to ensure consistent data availability, usability, and quality within the data warehouse ecosystem.
- Promote engineering best practices across teams, including code quality, testing, governance, auditability, and scalable development patterns.
- Partner with stakeholders, architects, and delivery teams to ensure successful adoption of cloud data platforms, enterprise frameworks, and curated data solutions.
- Guide strategic decisions related to platform evolution, framework improvements, and scalable onboarding models for domain teams.
- Support a culture of continuous improvement, reusable architecture, and operational excellence across the Core Group ecosystem.
REQUIRED QUALIFICATIONS
- At least 12+ years of experience in data engineering, cloud data platforms, Data warehouse or enterprise data architecture.
- Proven experience leading enterprise platform enablement, onboarding programs, or cross-team cloud data initiatives.
- Strong expertise in Python, PySpark, SQL, Databricks, Snowflake, and cloud-based data architectures.
- Experience building or governing scalable data frameworks, curated data layers, and enterprise engineering standards.
- Strong stakeholder management and ability to coordinate across multiple business and technology teams.
- Experience with data governance, quality controls, and regulatory or enterprise compliance expectations.
CORE COMPETENCIES
- Core Group Leadership & Enablement
- Platform Onboarding & Adoption
- Cloud Data Architecture & Engineering Standards
- Cross-Functional Coordination & Stakeholder Management
- Data Quality, Compliance & Scalable Execution
PREFERRED QUALIFICATIONS
- Experience in large-scale cloud data transformation or platform modernization initiatives.
- Experience in financial services, banking, or regulated data environments.
- Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
The expected base salary ranges from $160k-$200k. Salary offers are based on a wide range of factors including relevant skills, training, experience, education, and, where applicable, certifications and licenses obtained. Market and organizational factors are also considered. In addition to salary and a generous employee benefits package, successful candidates are eligible to receive a discretionary bonus.
OTHER REQUIREMENTS
Mizuho has in place a hybrid working program, with varying opportunities for remote work depending on the nature of the role, needs of your department, as well as local laws and regulatory obligations. Roles in some of our departments have greater in-office requirements that will be communicated to you as part of the recruitment process.
COMPANY OVERVIEW
Mizuho Financial Group, Inc. is the 15th largest bank in the world as measured by total assets of ~ $2 trillion. Mizuho's 60,000 employees worldwide offer comprehensive financial services to clients in 35 countries and 800 offices throughout the Americas, EMEA and Asia. Mizuho Americas is a leading provider of corporate and investment banking services to clients in the US, Canada, and Latin America. Through its acquisition of Greenhill, Mizuho provides M&A, restructuring and private capital advisory capabilities across Americas, Europe and Asia. Mizuho Americas employs approximately 3,500 professionals, and its capabilities span corporate and investment banking, capital markets, equity and fixed income sales & trading, derivatives, FX, custody and research.
Mizuho Americas offers a competitive total rewards package. We are an EEO/AA Employer - M/F/Disability/Veteran. We participate in the E-Verify program. We maintain a drug-free workplace and reserve the right to require pre- and post-hire drug testing as permitted by applicable law.
Cloud Data Engineer Job Roles in New Jersey
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Search Cloud Data Engineer Jobs in New JerseyCloud Data Engineer Jobs in New Jersey: Frequently Asked Questions
Which companies sponsor visas for cloud data engineers in New Jersey?
New Jersey has a strong base of H-1B sponsoring employers for cloud data engineers. Financial services firms like Prudential Financial and Merrill Lynch, consulting and IT services companies like Cognizant and Infosys, and pharma companies like Johnson and Johnson and Merck have all filed LCAs for cloud data roles in the state. Large tech employers and financial data platforms in the Jersey City area are also consistent sponsors.
Which visa types are most common for cloud data engineer roles in New Jersey?
The H-1B is the most common visa category for cloud data engineers in New Jersey, as the role typically qualifies as a specialty occupation requiring at least a bachelor's degree in computer science, information systems, or a related field. The L-1B intracompany transferee visa is also used by multinational firms, particularly the consulting companies headquartered or with major offices in the state. OPT and STEM OPT extensions are common entry points for international graduates before H-1B sponsorship.
Which cities in New Jersey have the most cloud data engineer sponsorship jobs?
Jersey City leads due to its concentration of financial services and fintech employers directly across from Manhattan. Newark is home to several large corporate headquarters and IT services offices. The Route 1 corridor, running through Princeton, New Brunswick, and Piscataway, is a secondary hub driven by pharma, biotech, and university-affiliated employers. Parsippany and Florham Park also have notable tech and consulting employer presence.
How to find cloud data engineer visa sponsorship jobs in New Jersey?
Migrate Mate is built specifically for international candidates looking for visa sponsorship jobs, including cloud data engineer roles in New Jersey. You can filter by state and role to see active listings from employers with documented sponsorship histories. This saves time compared to manually screening general job postings where sponsorship availability is rarely stated upfront. Migrate Mate focuses on roles where sponsorship is part of the hiring picture.
Are there any New Jersey-specific considerations for cloud data engineers seeking sponsorship?
New Jersey falls under the Department of Labor's New York-Newark metropolitan area prevailing wage zone for many positions, which means employers must meet wage thresholds that reflect one of the higher-cost labor markets in the country. Rutgers University and NJIT produce a steady pipeline of international graduates in data and cloud-related fields, meaning competition for entry-level sponsored roles can be significant. Pharma and life sciences employers in New Jersey also tend to favor candidates with domain-specific cloud experience, such as clinical data platforms or regulatory data engineering.
What is the prevailing wage for sponsored cloud data engineer jobs in New Jersey?
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.