Accounting Jobs in New York with H-1B1 Sponsorship
H-1B1 visa sponsorship accounting jobs in New York are concentrated in Manhattan's financial district, Midtown, and the Big Four firm offices across the metro area. Major employers include Deloitte, PwC, EY, and KPMG, alongside large financial institutions and multinational corporations that regularly hire international accounting professionals for specialized roles requiring advanced qualifications.
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As Microsoft continues to push the boundaries of AI, we are on the lookout for passionate leaders to help us tackle the most interesting and challenging AI questions of our time. Our vision is bold and broad, to build systems that have true artificial intelligence across agents, applications, services, and infrastructure. It's also inclusive: we aim to make AI accessible to all, consumers, businesses, developers, so that everyone can realize its benefits. We're looking for a Data Infrastructure Manager to lead a team of talented engineers building and scaling the data infrastructure that powers Microsoft's consumer AI. This role sits at the intersection of technical leadership and people management. You'll set the technical direction for large-scale data and ML pipelines, AI agentic workflows, and intelligent systems while growing a high-performing team of ICs. If you've architected big data platforms from the ground up and are now ready to multiply your impact through others, including on some of the most exciting AI infrastructure challenges in the industry, we want to hear from you.
You'll bring:
Deep technical expertise in big data and distributed systems
A track record of leading and developing engineering talent
A passion for automation, observability, and operational excellence
The ability to translate complex technical strategy into clear, executable plans
* Empathy, collaboration, and a growth mindset
Microsoft's mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of Respect, Integrity, and Accountability to create a culture of inclusion where everyone can thrive at work and beyond.
Starting January 26, 2026, Microsoft AI (MAI) employees who live within a 50-mile commute of a designated Microsoft office in the U.S. or 25-mile commute of a non-U.S., country-specific location are expected to work from the office at least four days per week. This expectation is subject to local law and may vary by jurisdiction.
Responsibilities
Team Leadership & People Development
Hire, mentor, and develop a team of Data Infrastructure Engineers, fostering a culture of technical excellence, ownership, and continuous growth.
Conduct regular 1:1s, set clear goals, and provide actionable feedback to support each engineer's career development.
* Build and sustain an inclusive, collaborative team environment aligned with Microsoft's values of Respect, Integrity, Accountability, and Inclusion.
Technical Strategy & Architecture
Define and drive the technical vision for a scalable, reliable, and observable Big Data Infrastructure serving mission-critical AI applications, including agentic and intelligent systems.
Lead technical design reviews, establish engineering standards, and ensure a clean, secure, and well-documented codebase.
* Partner with engineers to architect data solutions across storage, compute, and analytics layers, including the pipelines and orchestration frameworks that underpin AI agent workflows, balancing long-term scalability with near-term delivery.
Platform & Operations
Champion DevOps and SRE best practices across the team, including automated deployments, service monitoring, and incident response.
Guide the team in building a self-service big data platform that empowers data engineers, researchers, and partner teams.
Oversee robust CI/CD pipelines and infrastructure-as-code practices using tools like Bicep, Terraform, and ARM.
Lead capacity planning and drive proactive resolution of bottlenecks in data pipelines and infrastructure.
Cross-Functional Collaboration
Act as a key technical partner to Data Engineers, Data Scientists, AI Researchers, ML Engineers, and Developers to deliver secure, seamless big data workflows.
Collaborate with Security teams to uphold strong infrastructure security practices (IAM, OAuth, Kerberos).
* Represent the team in planning and prioritization discussions, translating organizational goals into actionable engineering roadmaps.
Qualifications
Required Qualifications:
* Bachelor's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 6+ years experience in business analytics, data science, software development, data modeling or data engineering work
+ OR Master's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 4+ years experience in business analytics, data science, software development, or data engineering work
- OR equivalent experience.
Preferred Qualifications:
Master's Degree in Computer Science or related technical field AND 10+ years of technical engineering experience OR Bachelor's Degree AND 14+ years, OR equivalent experience.
5+ years in Big Data Infrastructure, DevOps, SRE, or Platform Engineering.
5+ years of hands-on experience with distributed systems from bare-metal to cloud-native environments.
5+ years overseeing or contributing to containerized application deployments using Kubernetes and Helm/Kustomize.
Solid scripting and automation fluency in Python, Bash, or PowerShell.
Proven track record managing CI/CD pipelines, release automation, and production incident response.
Hands-on expertise with modern data platforms like Databricks, including deep familiarity with relational and NoSQL databases, key-value stores, Spark compute engines, distributed file systems (e.g., HDFS, ADLS Gen2), and messaging systems (e.g., Event Hub, Kafka, RabbitMQ).
Proven experience with cloud-native infrastructure across Azure, AWS, or GCP.
Strong collaboration history with Data Engineers, Data Scientists, ML Engineers, Networking, and Security teams.
Experience with agentic workflow infrastructure, including orchestration frameworks (e.g., Semantic Kernel, AutoGen), retrieval pipelines, and the data infrastructure patterns that support multi-agent systems at scale.
* Familiarity with modern web stacks: TypeScript, Node.js, React, and optionally PHP.
MicrosoftAI #MAIDPS
Compensation
- Salary Range: $139,900 - $274,800 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $188,000 - $304,200 per year.
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process.
Overview
As Microsoft continues to push the boundaries of AI, we are on the lookout for passionate leaders to help us tackle the most interesting and challenging AI questions of our time. Our vision is bold and broad, to build systems that have true artificial intelligence across agents, applications, services, and infrastructure. It's also inclusive: we aim to make AI accessible to all, consumers, businesses, developers, so that everyone can realize its benefits. We're looking for a Data Infrastructure Manager to lead a team of talented engineers building and scaling the data infrastructure that powers Microsoft's consumer AI. This role sits at the intersection of technical leadership and people management. You'll set the technical direction for large-scale data and ML pipelines, AI agentic workflows, and intelligent systems while growing a high-performing team of ICs. If you've architected big data platforms from the ground up and are now ready to multiply your impact through others, including on some of the most exciting AI infrastructure challenges in the industry, we want to hear from you.
You'll bring:
Deep technical expertise in big data and distributed systems
A track record of leading and developing engineering talent
A passion for automation, observability, and operational excellence
The ability to translate complex technical strategy into clear, executable plans
* Empathy, collaboration, and a growth mindset
Microsoft's mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of Respect, Integrity, and Accountability to create a culture of inclusion where everyone can thrive at work and beyond.
Starting January 26, 2026, Microsoft AI (MAI) employees who live within a 50-mile commute of a designated Microsoft office in the U.S. or 25-mile commute of a non-U.S., country-specific location are expected to work from the office at least four days per week. This expectation is subject to local law and may vary by jurisdiction.
Responsibilities
Team Leadership & People Development
Hire, mentor, and develop a team of Data Infrastructure Engineers, fostering a culture of technical excellence, ownership, and continuous growth.
Conduct regular 1:1s, set clear goals, and provide actionable feedback to support each engineer's career development.
* Build and sustain an inclusive, collaborative team environment aligned with Microsoft's values of Respect, Integrity, Accountability, and Inclusion.
Technical Strategy & Architecture
Define and drive the technical vision for a scalable, reliable, and observable Big Data Infrastructure serving mission-critical AI applications, including agentic and intelligent systems.
Lead technical design reviews, establish engineering standards, and ensure a clean, secure, and well-documented codebase.
* Partner with engineers to architect data solutions across storage, compute, and analytics layers, including the pipelines and orchestration frameworks that underpin AI agent workflows, balancing long-term scalability with near-term delivery.
Platform & Operations
Champion DevOps and SRE best practices across the team, including automated deployments, service monitoring, and incident response.
Guide the team in building a self-service big data platform that empowers data engineers, researchers, and partner teams.
Oversee robust CI/CD pipelines and infrastructure-as-code practices using tools like Bicep, Terraform, and ARM.
Lead capacity planning and drive proactive resolution of bottlenecks in data pipelines and infrastructure.
Cross-Functional Collaboration
Act as a key technical partner to Data Engineers, Data Scientists, AI Researchers, ML Engineers, and Developers to deliver secure, seamless big data workflows.
Collaborate with Security teams to uphold strong infrastructure security practices (IAM, OAuth, Kerberos).
* Represent the team in planning and prioritization discussions, translating organizational goals into actionable engineering roadmaps.
Qualifications
Required Qualifications:
* Bachelor's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 6+ years experience in business analytics, data science, software development, data modeling or data engineering work
+ OR Master's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 4+ years experience in business analytics, data science, software development, or data engineering work
- OR equivalent experience.
Preferred Qualifications:
Master's Degree in Computer Science or related technical field AND 10+ years of technical engineering experience OR Bachelor's Degree AND 14+ years, OR equivalent experience.
5+ years in Big Data Infrastructure, DevOps, SRE, or Platform Engineering.
5+ years of hands-on experience with distributed systems from bare-metal to cloud-native environments.
5+ years overseeing or contributing to containerized application deployments using Kubernetes and Helm/Kustomize.
Solid scripting and automation fluency in Python, Bash, or PowerShell.
Proven track record managing CI/CD pipelines, release automation, and production incident response.
Hands-on expertise with modern data platforms like Databricks, including deep familiarity with relational and NoSQL databases, key-value stores, Spark compute engines, distributed file systems (e.g., HDFS, ADLS Gen2), and messaging systems (e.g., Event Hub, Kafka, RabbitMQ).
Proven experience with cloud-native infrastructure across Azure, AWS, or GCP.
Strong collaboration history with Data Engineers, Data Scientists, ML Engineers, Networking, and Security teams.
Experience with agentic workflow infrastructure, including orchestration frameworks (e.g., Semantic Kernel, AutoGen), retrieval pipelines, and the data infrastructure patterns that support multi-agent systems at scale.
* Familiarity with modern web stacks: TypeScript, Node.js, React, and optionally PHP.
MicrosoftAI #MAIDPS
Compensation
- Salary Range: $139,900 - $274,800 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $188,000 - $304,200 per year.
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process.
Job Roles in Accounting in New York
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Get Access To All JobsFrequently Asked Questions
Which accounting companies sponsor H-1B1 visas in New York?
The most active H-1B1 sponsors in New York's accounting sector are the Big Four firms, Deloitte, PwC, EY, and KPMG, all of which maintain large New York offices and have established sponsorship processes. Large financial institutions such as JPMorgan Chase, Goldman Sachs, and Citigroup also sponsor H-1B1 holders for internal accounting and finance control roles. Regional mid-size CPA firms sponsor less frequently and typically on a case-by-case basis.
Which cities in New York have the most accounting H-1B1 sponsorship jobs?
Manhattan accounts for the overwhelming majority of H-1B1 accounting sponsorship activity in New York State, driven by the concentration of multinational firms, financial institutions, and corporate headquarters in Midtown and Lower Manhattan. Buffalo, Rochester, and Albany have smaller but active accounting markets tied to regional employers and state government contractors, though sponsorship activity there is considerably less frequent than in New York City.
What types of accounting roles typically qualify for H-1B1 sponsorship?
Roles that consistently qualify include external audit associate and senior positions, tax advisory roles requiring jurisdiction-specific expertise, forensic accounting, financial reporting under U.S. GAAP or IFRS, and internal controls or SOX compliance. The H-1B1 requires the position to be a specialty occupation, meaning it must normally require at least a bachelor's degree in a directly related field. General bookkeeping or staff accounting roles without a degree requirement typically do not qualify.
How do I find accounting H-1B1 sponsorship jobs in New York?
Migrate Mate is built specifically for this search, filtering job listings by visa type and state so you can browse accounting roles in New York where employers have indicated H-1B1 sponsorship willingness. Because H-1B1 is a Chilean and Singaporean national-only visa category, fewer generic job boards surface it accurately. Using Migrate Mate lets you focus on verified sponsorship opportunities in New York's accounting sector without sifting through listings that do not apply to your visa type.
Are there any New York-specific considerations for H-1B1 sponsorship in accounting?
New York State's licensing requirements add a layer of complexity: working as a CPA in New York requires licensure through the New York State Education Department, which has specific education and experience requirements that international candidates must meet. H-1B1 status is valid for work authorization, but CPA licensure is a separate process that employers and candidates must plan for independently. Firms hiring for audit or attest functions will typically require or expect candidates to be on a CPA licensure track.
What is the prevailing wage for H-1B1 accounting jobs in New York?
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.
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