Cloud Data Engineer Green Card Jobs
Cloud Data Engineer roles qualify for EB-2 and EB-3 green card sponsorship through the PERM labor certification process, which permanently ties your residency to a U.S. employer rather than a temporary visa. Employers filing PERM must document recruitment efforts and certify that no qualified U.S. worker was displaced before sponsoring you.
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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 3,711+ 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 Green Card Sponsorship as a Cloud Data Engineer
Align your credentials to EB-2 requirements
Cloud Data Engineer roles often qualify under EB-2 when the position requires a master's degree or a bachelor's plus five years of progressive experience. Document each promotion, scope expansion, and technology stack shift in writing before your employer files PERM.
Target employers with active PERM filing history
Search OFLC disclosure data for employers who have filed PERM certifications under SOC code 15-1243 or 15-1244 in the past two years. Consistent PERM activity signals an established sponsorship process rather than a first-time experiment.
Use Migrate Mate to find sponsoring employers
Filter Cloud Data Engineer roles by green card sponsorship history on Migrate Mate. This surfaces employers who have completed PERM filings for this specific occupation, cutting research time and surfacing opportunities that standard job boards don't label.
Verify your job description matches the PERM filing
PERM locks in the job duties described at the time of filing. If your actual responsibilities expand into areas like MLOps or real-time streaming that weren't listed, DOL may find a material change and require a new certification, restarting the clock.
Check the prevailing wage tier before accepting an offer
Use the OFLC Wage Search to confirm your offered salary meets the Level I through Level IV prevailing wage for your work location's MSA. Employers must pay at least the PERM-certified wage on the day you receive your green card, not just at filing.
Understand priority date backlogs before your I-140 files
For EB-3 filers born in India or China, priority date backlogs can extend the wait by years even after I-140 approval. Confirm your country's current cutoff date in the USCIS Visa Bulletin and factor that into your employment continuity planning.
Cloud Data Engineer jobs are hiring across the US. Find yours.
Find Cloud Data Engineer JobsCloud Data Engineer Green Card Sponsorship: Frequently Asked Questions
Do Cloud Data Engineer roles qualify for EB-2 or EB-3 green card sponsorship?
Both categories apply depending on how the employer defines the position. If the role requires a master's degree or equivalent, EB-2 applies. If it requires a bachelor's degree and at least two years of experience, EB-3 covers it. The employer's PERM filing locks in the category, so reviewing the job description before signing an offer letter matters.
How does PERM green card sponsorship differ from H-1B for this role?
H-1B is a temporary status that requires renewal and is subject to an annual lottery. PERM-based green card sponsorship leads to permanent residency with no cap concerns at the EB-3 level for most nationalities. The trade-off is timeline: PERM certification alone takes six months to over a year, followed by I-140 adjudication and, depending on your birth country, a potential priority date wait before you can file for adjustment of status.
How can I find Cloud Data Engineer employers who actively sponsor green cards?
Migrate Mate lets you filter Cloud Data Engineer roles by employers with documented green card sponsorship history, including PERM filings under the relevant SOC codes. This is more reliable than filtering by 'visa sponsorship' checkboxes on general job boards, which often include only H-1B and not PERM-based sponsorship.
Can I switch jobs after my employer files my PERM or I-140?
Changing employers before PERM is certified restarts the entire certification process with the new employer. After your I-140 is approved and your priority date is more than 180 days old, AC21 portability lets you change to a same or similar occupational role without losing your priority date, provided your I-485 is already pending. Cloud Data Engineering roles generally satisfy same-or-similar criteria if the core data pipeline and infrastructure duties remain consistent.
What documentation strengthens a PERM filing for a Cloud Data Engineer?
DOL requires the employer to demonstrate that the position's minimum requirements are genuinely tied to business necessity, not inflated to exclude U.S. workers. For Cloud Data Engineers, that means job descriptions should map to a specific technology stack, platform, or architecture the team actually uses. Your transcripts, employment records, and any certifications in platforms like Spark, Kafka, or cloud providers help establish that your qualifications are legitimately required rather than incidentally preferred.
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