E-3 Visa Cloud Data Engineer Jobs
Cloud Data Engineer roles in pipeline architecture, lakehouse design, and real-time streaming qualify as E-3 specialty occupations when backed by a degree in computer science, information systems, or a related field. Australian citizens can secure E-3 visa sponsorship without entering a lottery, making U.S. roles in this field genuinely accessible year-round.
Find E-3 Visa Cloud Data Engineer JobsOverview
Showing 5 of 1,651+ Cloud Data Engineer jobs
See all 1,651+ 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 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 1,651+ E-3 Visa Cloud Data Engineer Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new E-3 Visa Cloud Data Engineer Jobs.
Get Access To All JobsTips for Finding E-3 Visa Sponsorship as a Cloud Data Engineer
Align your degree to the role description
DOL requires your LCA job duties to match a specialty occupation. If your degree is in a adjacent field like mathematics or electrical engineering, document coursework in data systems, distributed computing, or cloud architecture to strengthen the specialty occupation argument.
Target employers with active cloud infrastructure teams
Focus on companies running multi-cloud or hybrid environments at scale. Teams already managing Databricks, Snowflake, or AWS Glue pipelines are hiring for defined technical roles, which makes the specialty occupation case cleaner and speeds up internal sponsorship approval.
Get your LCA certified before your consulate appointment
The LCA must be DOL-certified before you can schedule your visa interview. Employers sometimes underestimate this lead time. Use Migrate Mate's E-3 filing service to handle your LCA and visa paperwork so the sequencing stays on track.
Search for E-3 sponsorship on Migrate Mate
Generic job boards don't filter by E-3 visa sponsorship history. Migrate Mate lets you search Cloud Data Engineer roles specifically matched to employers who sponsor E-3 visas, saving you from chasing roles at companies that won't move forward.
Verify your employer's E-Verify enrollment before accepting
E-3 employers aren't federally required to use E-Verify unless they're a federal contractor, but USCIS will ask about employment authorization. Confirming enrollment before your start date avoids onboarding delays if your employer's HR team is unfamiliar with the E-3 process.
E-3 Visa Cloud Data Engineer: Frequently Asked Questions
How do I find Cloud Data Engineer jobs with E-3 visa sponsorship?
Migrate Mate is built specifically for this search. You can filter Cloud Data Engineer roles by E-3 visa sponsorship, which standard job boards don't support. This removes the guesswork of contacting employers who don't sponsor, so you spend time on roles where sponsorship is already confirmed.
How much does it cost to get an E-3 visa?
Migrate Mate's E-3 filing service covers the entire process for $499, including the Labor Condition Application, visa document preparation, and consulate appointment guidance. Traditional immigration lawyers charge $2,000–$5,000+ for the same work. The E-3 has less paperwork than most work visas, so paying thousands for legal help is usually unnecessary.
Does a Cloud Data Engineer role qualify as an E-3 specialty occupation?
Yes, in most cases. Cloud Data Engineer roles that require designing data pipelines, managing distributed systems, or architecting cloud-native solutions typically satisfy the specialty occupation standard because they require at minimum a bachelor's degree in computer science, information systems, or a closely related field. Roles where any general degree qualifies can be harder to support, so the job description and your degree field both matter.
How does the E-3 compare to the H-1B for Cloud Data Engineer roles?
The E-3 has no annual cap and no lottery, so you can apply at any point in the year once you have a job offer and a certified LCA. The H-1B has an 85,000-slot annual cap with a randomised lottery, meaning most applicants wait years for selection. For Australian Cloud Data Engineers, the E-3 is the direct path that bypasses that uncertainty entirely.
Can I change employers while on an E-3 as a Cloud Data Engineer?
Yes, but each employer change requires a fresh LCA and a new visa stamp if you travel outside the U.S. Your new employer files a new LCA with DOL before you start, and you'll need to present the certified LCA along with your new employment letter. There's no formal transfer process like the H-1B portability rule, so timing your transition carefully matters.