H-1B Visa Cloud Data Engineer Jobs
Cloud Data Engineer roles sit squarely within H-1B specialty occupation criteria, requiring a bachelor's degree or higher in computer science, data engineering, or a related field. Employers in cloud-heavy industries file LCAs with the DOL before sponsoring your H-1B, certifying that your offered wage meets the prevailing rate for your location and SOC code.
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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 4,137+ 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 H-1B Visa Sponsorship as a Cloud Data Engineer
Map your degree to the SOC code
USCIS evaluates specialty occupation based on degree-to-role alignment. Cloud Data Engineer roles typically fall under SOC 15-1243. Cross-reference your transcript against the O*NET occupation profile to confirm your degree field directly supports the position before applying.
Target employers with active LCA filings
Search the OFLC Wage Search to filter employers who have recently certified LCAs for data engineering roles. Employers already in the DOL system have completed prevailing wage determinations, which shortens your sponsorship timeline after an offer.
Use Migrate Mate to find H-1B sponsors
Filter Cloud Data Engineer roles by verified H-1B filing history on Migrate Mate. This surfaces employers who have actively petitioned for this specific role type, so you're not guessing at sponsorship willingness during the offer process.
Clarify cloud platform specialization early
Employers filing your H-1B petition must describe your duties with specificity. Before accepting an offer, confirm whether the role centers on AWS, Azure, or GCP. A clearly scoped job description reduces the risk of a USCIS Request for Evidence on specialty occupation grounds.
Negotiate your offer against the prevailing wage tier
Your employer's LCA must certify a wage at or above the DOL prevailing rate for your metro area and experience level. Run the OFLC Wage Search for SOC 15-1243 in your target city before negotiating, so you understand the floor your offer must clear.
Cloud Data Engineer jobs are hiring across the US. Find yours.
Find Cloud Data Engineer JobsCloud Data Engineer H-1B Visa: Frequently Asked Questions
Does a Cloud Data Engineer role qualify as an H-1B specialty occupation?
Yes. Cloud Data Engineer positions require at least a bachelor's degree in computer science, information systems, data engineering, or a closely related field, which satisfies USCIS's specialty occupation definition. The key is that your degree field must align with the specific duties in the job description. A general business degree without a technical concentration is unlikely to meet the standard for this role.
Which employers are most likely to sponsor H-1B visas for Cloud Data Engineers?
Employers in cloud-native technology, financial services, healthcare analytics, and enterprise software tend to file the most H-1B petitions for data engineering roles. Rather than guessing, search Migrate Mate to browse Cloud Data Engineer positions filtered by verified H-1B filing history. This shows you which employers have actively sponsored this specific role type, not just any H-1B category.
How does my cloud platform specialization affect the H-1B petition?
Your employer's H-1B petition must describe your duties with enough specificity for USCIS to confirm the role qualifies. If your work centers on a specific platform like AWS Redshift, Azure Synapse, or Google BigQuery, that detail should appear in the job description and support letter. Vague descriptions increase the likelihood of a Request for Evidence challenging whether the position meets specialty occupation requirements.
What prevailing wage level applies to Cloud Data Engineer H-1B filings?
Prevailing wages for Cloud Data Engineers are set by the DOL under SOC code 15-1243, with four wage levels based on experience and supervisory responsibility. Your employer's LCA must certify a wage at or above the applicable level for your work location. You can verify the wage floor for your city and experience tier using the OFLC Wage Search before evaluating any offer.
Can I switch employers mid-H-1B if I get a better Cloud Data Engineer offer?
Yes, under H-1B portability rules you can start working for a new employer as soon as they file an H-1B transfer petition, without waiting for approval, as long as you've been in valid H-1B status for at least 180 days and the new role is in the same or a closely related specialty occupation. Your new employer must file a new LCA and I-129 petition before your first day.
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