Cloud Data Engineer Jobs in USA with Visa Sponsorship
Cloud Data Engineers are among the most consistently sponsored roles in tech. Employers regularly file H-1B visa and E-3 visa petitions for this position, and the specialty occupation classification is well-established for roles requiring a degree in computer science, information systems, or a related field. For detailed occupation requirements, see the O*NET profile.
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Get Access To All JobsWM Data Engineering – Senior Cloud Data Engineer - Vice President
Who We Look For:
Goldman Sachs Engineers are innovators and problem-solvers, building solutions for various divisions. We look for creative collaborators who evolve, adapt to change and thrive in a fast-paced global environment.
We are seeking a high-caliber, hands-on Senior Cloud Data Engineer. While you will provide architectural guidance, your primary impact will come from hands-on engineering: building production-ready data pipelines, containerizing microservices for Amazon ECS, and executing the technical migration of legacy on-premises systems to AWS.
Key Responsibilities:
-
Hands-on Pipeline & Microservices Migration:
-
Active Migration Execution: Directly execute the migration of legacy ETL and microservices to AWS. This includes refactoring monolithic code into containerized services and deploying them to Amazon ECS (Fargate/EC2).
-
Containerization & Orchestration: Build and maintain Docker images, write complex ECS Task Definitions, and configure service-to-service communication using Amazon ECS Service Connect and AWS Cloud Map.
-
Data Pipeline Engineering: Develop end-to-end data flows using AWS Glue (PySpark), Amazon EMR, and Snowflake. Implement "Lakehouse" patterns using Apache Iceberg to ensure data portability.
-
Infrastructure & Automation-as-Code
-
IaC Development: Write and maintain production-grade Terraform or AWS CDK modules to provision VPCs, ECS clusters, and RDS instances. Ensure all infrastructure is version-controlled and deployed via GitHub Actions or GitLab CI.
-
AI-Augmented Coding: Actively use AI coding assistants (e.g., GitHub Copilot) to refactor legacy SQL, generate unit tests, and automate the creation of boilerplate pipeline code.
-
Toil Reduction: Identify manual bottlenecks in the migration process and build custom automation tools in Python or Go to streamline data validation and schema conversion.
-
Technical Leadership & Reliability
-
Code Reviews & Standards: Lead rigorous peer code reviews, enforcing standards for performance, security (IAM least privilege), and maintainability.
-
Observability Implementation: Hands-on configuration of Amazon CloudWatch Container Insights, and OpenTelemetry to ensure deep visibility into migrated microservices and data jobs.
-
Performance Tuning: Directly optimize Spark job configurations, Snowflake warehouse sizing, and ECS auto-scaling policies to balance performance.
Qualifications
-
Experience: 8+ years of hands-on experience in Data Engineering and Cloud Infrastructure, with a focus on building and migrating production workloads.
-
AWS ECS Expertise: Deep technical expertise in Amazon ECS (Fargate/EC2), including networking (ALB/NLB), task placement strategies, and container security.
-
Data Platform Expertise: Proven experience with modern data platforms such as Snowflake (AI Data Cloud) and cloud-native services. Good understanding of open-source table formats, specifically Apache Iceberg, to enable interoperability, schema evolution, and high-performance analytics across multiple engines.
-
Programming: Expert-level proficiency in Java, Python and SQL.
-
Big Data & Orchestration: Hands-on experience with Spark, Kafka, and orchestration tools like Apache Airflow, Dagster, or dbt.
-
Data Modeling: Deep understanding of data warehousing and modern data lakehouse architecture.
Leadership & Soft Skills
-
Mentorship: Proven track record of upskilling junior engineers.
-
Communication: Ability to explain complex technical concepts to non-technical stakeholders in the wealth management business.
-
Problem Solving: A "builder" mindset with the ability to navigate ambiguity in a fast-paced environment.
Education
Bachelor’s or Master’s degree in computer science, Engineering, Mathematics, or a related field.
ABOUT GOLDMAN SACHS
At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world.
We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs.
We’re committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process.
© The Goldman Sachs Group, Inc., 2023. All rights reserved. Goldman Sachs is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, national origin, age, veterans status, disability, or any other characteristic protected by applicable law.
We Offer Best-In-Class Benefits
Healthcare & Medical Insurance
We offer a wide range of health and welfare programs that vary depending on office location. These generally include medical, dental, short-term disability, long-term disability, life, accidental death, labor accident and business travel accident insurance.
Holiday & Vacation Policies
We offer competitive vacation policies based on employee level and office location. We promote time off from work to recharge by providing generous vacation entitlements and a minimum of three weeks expected vacation usage each year.
Financial Wellness & Retirement
We assist employees in saving and planning for retirement, offer financial support for higher education, and provide a number of benefits to help employees prepare for the unexpected. We offer live financial education and content on a variety of topics to address the spectrum of employees’ priorities.
Health Services
We offer a medical advocacy service for employees and family members facing critical health situations, and counseling and referral services through the Employee Assistance Program (EAP). We provide Global Medical, Security and Travel Assistance and a Workplace Ergonomics Program. We also offer state-of-the-art on-site health centers in certain offices.
Fitness
To encourage employees to live a healthy and active lifestyle, some of our offices feature on-site fitness centers. For eligible employees we typically reimburse fees paid for a fitness club membership or activity (up to a pre-approved amount).
Child Care & Family Care
We offer on-site child care centers that provide full-time and emergency back-up care, as well as mother and baby rooms and homework rooms. In every office, we provide advice and counseling services, expectant parent resources and transitional programs for parents returning from parental leave. Adoption, surrogacy, egg donation and egg retrieval stipends are also available.
Benefits at Goldman Sachs
Read more about the full suite of class-leading benefits our firm has to offer.
Opportunity Overview
CORPORATE TITLE
Vice President
OFFICE LOCATION(S)
Dallas
JOB FUNCTION
Software Engineering
DIVISION
Asset & Wealth Management
WM Data Engineering – Senior Cloud Data Engineer - Vice President
Who We Look For:
Goldman Sachs Engineers are innovators and problem-solvers, building solutions for various divisions. We look for creative collaborators who evolve, adapt to change and thrive in a fast-paced global environment.
We are seeking a high-caliber, hands-on Senior Cloud Data Engineer. While you will provide architectural guidance, your primary impact will come from hands-on engineering: building production-ready data pipelines, containerizing microservices for Amazon ECS, and executing the technical migration of legacy on-premises systems to AWS.
Key Responsibilities:
-
Hands-on Pipeline & Microservices Migration:
-
Active Migration Execution: Directly execute the migration of legacy ETL and microservices to AWS. This includes refactoring monolithic code into containerized services and deploying them to Amazon ECS (Fargate/EC2).
-
Containerization & Orchestration: Build and maintain Docker images, write complex ECS Task Definitions, and configure service-to-service communication using Amazon ECS Service Connect and AWS Cloud Map.
-
Data Pipeline Engineering: Develop end-to-end data flows using AWS Glue (PySpark), Amazon EMR, and Snowflake. Implement "Lakehouse" patterns using Apache Iceberg to ensure data portability.
-
Infrastructure & Automation-as-Code
-
IaC Development: Write and maintain production-grade Terraform or AWS CDK modules to provision VPCs, ECS clusters, and RDS instances. Ensure all infrastructure is version-controlled and deployed via GitHub Actions or GitLab CI.
-
AI-Augmented Coding: Actively use AI coding assistants (e.g., GitHub Copilot) to refactor legacy SQL, generate unit tests, and automate the creation of boilerplate pipeline code.
-
Toil Reduction: Identify manual bottlenecks in the migration process and build custom automation tools in Python or Go to streamline data validation and schema conversion.
-
Technical Leadership & Reliability
-
Code Reviews & Standards: Lead rigorous peer code reviews, enforcing standards for performance, security (IAM least privilege), and maintainability.
-
Observability Implementation: Hands-on configuration of Amazon CloudWatch Container Insights, and OpenTelemetry to ensure deep visibility into migrated microservices and data jobs.
-
Performance Tuning: Directly optimize Spark job configurations, Snowflake warehouse sizing, and ECS auto-scaling policies to balance performance.
Qualifications
-
Experience: 8+ years of hands-on experience in Data Engineering and Cloud Infrastructure, with a focus on building and migrating production workloads.
-
AWS ECS Expertise: Deep technical expertise in Amazon ECS (Fargate/EC2), including networking (ALB/NLB), task placement strategies, and container security.
-
Data Platform Expertise: Proven experience with modern data platforms such as Snowflake (AI Data Cloud) and cloud-native services. Good understanding of open-source table formats, specifically Apache Iceberg, to enable interoperability, schema evolution, and high-performance analytics across multiple engines.
-
Programming: Expert-level proficiency in Java, Python and SQL.
-
Big Data & Orchestration: Hands-on experience with Spark, Kafka, and orchestration tools like Apache Airflow, Dagster, or dbt.
-
Data Modeling: Deep understanding of data warehousing and modern data lakehouse architecture.
Leadership & Soft Skills
-
Mentorship: Proven track record of upskilling junior engineers.
-
Communication: Ability to explain complex technical concepts to non-technical stakeholders in the wealth management business.
-
Problem Solving: A "builder" mindset with the ability to navigate ambiguity in a fast-paced environment.
Education
Bachelor’s or Master’s degree in computer science, Engineering, Mathematics, or a related field.
ABOUT GOLDMAN SACHS
At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world.
We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs.
We’re committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process.
© The Goldman Sachs Group, Inc., 2023. All rights reserved. Goldman Sachs is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, national origin, age, veterans status, disability, or any other characteristic protected by applicable law.
We Offer Best-In-Class Benefits
Healthcare & Medical Insurance
We offer a wide range of health and welfare programs that vary depending on office location. These generally include medical, dental, short-term disability, long-term disability, life, accidental death, labor accident and business travel accident insurance.
Holiday & Vacation Policies
We offer competitive vacation policies based on employee level and office location. We promote time off from work to recharge by providing generous vacation entitlements and a minimum of three weeks expected vacation usage each year.
Financial Wellness & Retirement
We assist employees in saving and planning for retirement, offer financial support for higher education, and provide a number of benefits to help employees prepare for the unexpected. We offer live financial education and content on a variety of topics to address the spectrum of employees’ priorities.
Health Services
We offer a medical advocacy service for employees and family members facing critical health situations, and counseling and referral services through the Employee Assistance Program (EAP). We provide Global Medical, Security and Travel Assistance and a Workplace Ergonomics Program. We also offer state-of-the-art on-site health centers in certain offices.
Fitness
To encourage employees to live a healthy and active lifestyle, some of our offices feature on-site fitness centers. For eligible employees we typically reimburse fees paid for a fitness club membership or activity (up to a pre-approved amount).
Child Care & Family Care
We offer on-site child care centers that provide full-time and emergency back-up care, as well as mother and baby rooms and homework rooms. In every office, we provide advice and counseling services, expectant parent resources and transitional programs for parents returning from parental leave. Adoption, surrogacy, egg donation and egg retrieval stipends are also available.
Benefits at Goldman Sachs
Read more about the full suite of class-leading benefits our firm has to offer.
Opportunity Overview
CORPORATE TITLE
Vice President
OFFICE LOCATION(S)
Dallas
JOB FUNCTION
Software Engineering
DIVISION
Asset & Wealth Management
See all 4,767+ Cloud Data Engineer jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Cloud Data Engineer roles.
Get Access To All JobsTips for Finding Visa Sponsorship as a Cloud Data Engineer
Target companies with active LCA filings
Employers who have filed Labor Condition Applications for Cloud Data Engineer roles in the past two years are far more likely to sponsor again. This filing history signals an established immigration process and reduces the risk of a flat refusal.
Align your degree field to the role
H-1B specialty occupation approval depends on your degree matching the position. Computer science, information systems, data engineering, and applied mathematics all support a strong case. A degree in an unrelated field creates unnecessary risk at adjudication.
Emphasize cloud platform certifications
AWS, Azure, and Google Cloud certifications signal specialized knowledge that immigration attorneys use to strengthen specialty occupation arguments. They also differentiate you from candidates without formal credentials in the specific cloud stack the employer uses.
Prioritize large employers and cloud-native companies
Large technology firms and cloud-native companies sponsor visa petitions routinely and have dedicated immigration teams. The process moves faster, the legal support is already in place, and the likelihood of a petition being filed correctly is significantly higher.
Apply before the H-1B registration window opens in March
H-1B registrations open in early March each year. Securing an offer before then gives your employer time to register you in the lottery. Missing the window means waiting a full year, so early applications are strategically important for this visa pathway.
Highlight distributed systems and pipeline architecture experience
Specialty occupation approvals for data engineering roles are strengthened when the job description requires advanced technical judgment, not just execution. Experience designing data pipelines and distributed systems demonstrates the complexity that supports a qualifying specialty occupation determination.
Frequently Asked Questions
Is Cloud Data Engineer a qualifying specialty occupation for H-1B purposes?
Yes, in most cases. USCIS consistently approves Cloud Data Engineer roles as specialty occupations when the position requires a bachelor's degree or higher in computer science, information systems, data engineering, or a closely related field. Roles where the job description accepts any degree regardless of field face higher denial risk, so the specificity of the employer's requirements matters considerably.
Which visa types do Cloud Data Engineers most commonly use for U.S. work authorization?
The H-1B is the most common pathway for non-Australian nationals. Australian citizens can use the E-3 visa, which has no lottery, a dedicated annual allocation of 10,500 slots that has never been exhausted, and the same two-year renewable structure. Canadian and Mexican nationals with qualifying degrees may also be eligible under the TN visa category for computer systems analysts, which can cover data engineering roles depending on job duties.
Does a three-year bachelor's degree qualify for H-1B sponsorship as a Cloud Data Engineer?
It can, but it requires evaluation. USCIS considers a three-year degree from India, Australia, or the UK equivalent to a U.S. bachelor's degree only when supported by a credential evaluation from a recognized organization confirming the degree is equivalent to a U.S. four-year bachelor's. Without that evaluation, USCIS may determine the degree doesn't meet the specialty occupation threshold and deny the petition.
How competitive is H-1B sponsorship for Cloud Data Engineers compared to other tech roles?
Cloud Data Engineers are in a favorable position relative to generalist roles. The position is well-recognized in USCIS adjudications, and employers in this space tend to have experienced immigration counsel. Approval rates for properly documented specialty occupation petitions in software and data engineering have historically exceeded 85%. The main risk factor is a poorly drafted job description that understates the technical requirements of the role.
Where can I find Cloud Data Engineer jobs that offer visa sponsorship?
Migrate Mate lists Cloud Data Engineer roles specifically filtered for visa sponsorship, so every job on the platform has been reviewed for sponsorship eligibility. This removes the need to screen hundreds of listings manually for immigration support. Filtering by role on Migrate Mate gives you a direct view of which employers are actively hiring and willing to file petitions.
What is the prevailing wage requirement for sponsored Cloud Data 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.
See which Cloud Data Engineer employers are hiring and sponsoring visas right now.
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