E-3 Visa Data Engineering Manager Jobs
Data Engineering Manager roles qualify for E-3 visa sponsorship as specialty occupations requiring a relevant bachelor's degree or higher. Australian nationals can secure two-year, indefinitely renewable status with no lottery and no annual cap, making this one of the most accessible paths to U.S. data leadership.
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Get Access To All JobsINTRODUCTION
We are looking for a Manager of Data & AI Engineering who combines deep technical expertise with strong delivery leadership and people management. This role will drive the build-out of our next-generation autonomous data intelligence platform for Supply Chain Operations — from identifying high-impact opportunities to architecting, building, and productionizing solutions that deliver measurable business value. The ideal candidate brings hands-on experience in architecture and engineering while demonstrating the ability to manage a high-performing team. This person will partner with business collaborators, translate operational challenges into data and AI solutions, and deliver at pace.
ROLE AND RESPONSIBILITIES
What you'll be doing:
- Design and build scalable data and AI platforms using Databricks, AWS, and modern cloud-native engineering patterns.
- Deliver robust ETL/ELT, streaming, and CDC pipelines using technologies such as Spark, Kafka, Delta Lake, and AWS-native services.
- Enable delivery of AI-powered use cases including RAG applications, AI agents, tool-calling workflows, and data-driven web apps.
- Design data models using Star Schema, Snowflake Schema, and Data Vault patterns appropriate to the use case — optimizing for analytical query performance, data governance, and extensibility.
- Implement data quality frameworks, observability, alerting, and monitoring to ensure pipeline integrity and production reliability.
- Build the data foundation for GenAI, agentic AI, and advanced analytics initiatives, including RAG pipelines, vector search, knowledge graphs, and multi-agent orchestration patterns.
- Partner with product, business, analytics, and AI collaborators to translate requirements into secure, scalable, and production-ready solutions.
- Oversee resource planning, prioritization, project execution, and delivery across multiple concurrent initiatives, and mentor engineers, grow technical capability across the team, and develop a culture of accountability, innovation, and continuous improvement.
- Provide hands-on technical leadership across architecture, design reviews, implementation guidance, and production readiness, and handle the full lifecycle of data engineering projects — from discovery and planning through execution and production rollout.
BASIC QUALIFICATIONS
What we need to see:
- Master's or Bachelor's degree in Computer Science or Information Systems, or equivalent experience.
- 10+ overall years in Data Engineering, Software Engineering, or web application development, with at least 4+ years specifically in a leadership or engineering management role.
- Willingness to Code. You are still a builder at heart. You are excited to spend your time writing code, prototyping, and building production systems alongside your team.
- AWS Proficiency. Intimate knowledge of the AWS ecosystem, including Amazon S3, EC2, IAM, Lambda, and API Gateway.
- Agentic AI & LLM Mastery. Proven experience operationalizing Large Language Models (LLMs) into autonomous agents that can plan, use tools, and implement multi-step workflows.
- Databricks Mastery. Proven deep expertise in Apache Spark, PySpark, Delta Lake, and Databricks Workflows. Hands-on experience scaling Unity Catalog is highly preferred.
PREFERRED QUALIFICATIONS
Ways to stand out from the crowd:
- Active Databricks Certifications (e.g., Data Engineer Professional, Generative AI Engineer Associate).
- Active AWS Certifications (e.g., Certified Data Engineer – Associate or Solutions Architect – Professional).
- Background in managing multi-functional teams that blend data engineers with front-end and back-end software developers.
- Knowledge of supply chain business processes for Plan, Make, Deliver & Services.
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 200,000 USD - 322,000 USD. You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until October 27, 2026. This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
INTRODUCTION
We are looking for a Manager of Data & AI Engineering who combines deep technical expertise with strong delivery leadership and people management. This role will drive the build-out of our next-generation autonomous data intelligence platform for Supply Chain Operations — from identifying high-impact opportunities to architecting, building, and productionizing solutions that deliver measurable business value. The ideal candidate brings hands-on experience in architecture and engineering while demonstrating the ability to manage a high-performing team. This person will partner with business collaborators, translate operational challenges into data and AI solutions, and deliver at pace.
ROLE AND RESPONSIBILITIES
What you'll be doing:
- Design and build scalable data and AI platforms using Databricks, AWS, and modern cloud-native engineering patterns.
- Deliver robust ETL/ELT, streaming, and CDC pipelines using technologies such as Spark, Kafka, Delta Lake, and AWS-native services.
- Enable delivery of AI-powered use cases including RAG applications, AI agents, tool-calling workflows, and data-driven web apps.
- Design data models using Star Schema, Snowflake Schema, and Data Vault patterns appropriate to the use case — optimizing for analytical query performance, data governance, and extensibility.
- Implement data quality frameworks, observability, alerting, and monitoring to ensure pipeline integrity and production reliability.
- Build the data foundation for GenAI, agentic AI, and advanced analytics initiatives, including RAG pipelines, vector search, knowledge graphs, and multi-agent orchestration patterns.
- Partner with product, business, analytics, and AI collaborators to translate requirements into secure, scalable, and production-ready solutions.
- Oversee resource planning, prioritization, project execution, and delivery across multiple concurrent initiatives, and mentor engineers, grow technical capability across the team, and develop a culture of accountability, innovation, and continuous improvement.
- Provide hands-on technical leadership across architecture, design reviews, implementation guidance, and production readiness, and handle the full lifecycle of data engineering projects — from discovery and planning through execution and production rollout.
BASIC QUALIFICATIONS
What we need to see:
- Master's or Bachelor's degree in Computer Science or Information Systems, or equivalent experience.
- 10+ overall years in Data Engineering, Software Engineering, or web application development, with at least 4+ years specifically in a leadership or engineering management role.
- Willingness to Code. You are still a builder at heart. You are excited to spend your time writing code, prototyping, and building production systems alongside your team.
- AWS Proficiency. Intimate knowledge of the AWS ecosystem, including Amazon S3, EC2, IAM, Lambda, and API Gateway.
- Agentic AI & LLM Mastery. Proven experience operationalizing Large Language Models (LLMs) into autonomous agents that can plan, use tools, and implement multi-step workflows.
- Databricks Mastery. Proven deep expertise in Apache Spark, PySpark, Delta Lake, and Databricks Workflows. Hands-on experience scaling Unity Catalog is highly preferred.
PREFERRED QUALIFICATIONS
Ways to stand out from the crowd:
- Active Databricks Certifications (e.g., Data Engineer Professional, Generative AI Engineer Associate).
- Active AWS Certifications (e.g., Certified Data Engineer – Associate or Solutions Architect – Professional).
- Background in managing multi-functional teams that blend data engineers with front-end and back-end software developers.
- Knowledge of supply chain business processes for Plan, Make, Deliver & Services.
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 200,000 USD - 322,000 USD. You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until October 27, 2026. This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
See all 115+ E-3 Visa Data Engineering Manager Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new E-3 Visa Data Engineering Manager Jobs.
Get Access To All JobsTips for Finding E-3 Visa Sponsorship as a Data Engineering Manager
Translate your credentials before applying
Australian three-year bachelor's degrees are accepted for E-3 visa purposes, but your employer's HR team may not know that. Have your degree evaluated by a NACES-approved credential assessment service before submitting applications to remove any hesitation upfront.
Target employers with active LCA filing history
Data Engineering Manager roles appear under SOC codes 15-1299 and related data architecture classifications in DOL's LCA disclosure data. Filtering for employers who have filed LCAs in these codes tells you who has already navigated the process for your exact role type.
Address the specialty occupation question directly
Some hiring managers conflate Data Engineering Manager with a general IT management role and assume a degree in any field will suffice. Clarify early that the E-3 requires your degree field to align with the job duties, which is straightforward when the role centers on data architecture, pipeline design, or engineering leadership.
Use Migrate Mate's E-3 filing service for offer-to-visa execution
Once you have an offer, Migrate Mate's E-3 filing service handles the LCA submission with DOL, prepares your visa documentation, and gets you ready for your consulate appointment in Sydney, Melbourne, or Perth without you managing each step separately.
Time your consulate appointment around LCA certification
Your employer can't submit a valid E-3 application packet until DOL certifies the LCA, which typically takes seven business days. Build that window into your start date negotiation so your consulate appointment doesn't get scheduled before your documents are ready.
Prepare a specialty occupation brief for skeptical employers
If a U.S. employer has never sponsored an E-3 before, they may worry about legal complexity. A one-page summary showing that E-3 requires no lottery, no quota risk, and standard DOL prevailing wage compliance can move a hesitant hiring manager toward a formal offer.
E-3 Visa Data Engineering Manager: Frequently Asked Questions
How do I find Data Engineering Manager jobs with E-3 visa sponsorship?
Migrate Mate is the most direct way to search for Data Engineering Manager roles where employers are open to E-3 sponsorship. Unlike general job boards, it filters specifically for Australian nationals and surfaces companies with relevant visa filing history. From there, you can connect directly with employers who already understand the E-3 process and won't need extensive education on the sponsorship requirements.
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 Data Engineering Manager role qualify as a specialty occupation for the E-3?
Yes. Data Engineering Manager positions require a bachelor's degree or higher in computer science, information systems, data engineering, or a closely related field, which satisfies the E-3 specialty occupation standard. The key is that your degree field must align with the core technical duties of the role. A general business or unrelated STEM degree may require additional documentation to establish that connection.
How does the E-3 compare to the H-1B for Data Engineering Manager roles?
For Australian nationals, the E-3 is substantially more practical. The H-1B visa is subject to an annual lottery with roughly a 25% selection rate, a six-month wait until October 1 activation, and a 65,000 cap. The E-3 has a 10,500 annual allocation that has never been exhausted, no lottery, and allows you to apply any time of year once you have a job offer and a certified LCA from DOL.
Can I manage direct reports and lead a team on an E-3 visa?
Yes. The E-3 places no restrictions on your seniority level, team size, or managerial responsibilities. You can hire, manage, and lead engineering teams in the same way any permanent employee would. The visa is tied to your role qualifying as a specialty occupation and your employer maintaining your prevailing wage compliance with DOL, not to the scope of your management duties.