E-3 Visa Data Infrastructure Engineer Jobs
Data Infrastructure Engineer roles in the U.S. qualify as E-3 specialty occupations, requiring a bachelor's degree in computer science, information systems, or a related field. The E-3 has no lottery and no annual cap, making sponsorship more predictable than H-1B. Australian engineers can secure two-year, indefinitely renewable status tied to their employer.
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Get Access To All JobsAbout HeyGen
At HeyGen, our mission is to make visual storytelling accessible to all. Over the last decade, visual content has become the preferred method of information creation, consumption, and retention. But the ability to create such content, in particular videos, continues to be costly and challenging to scale. Our ambition is to build technology that equips more people with the power to reach, captivate, and inspire audiences. Learn more at www.heygen.com. Visit our Mission and Culture doc here.
Position Summary:
At HeyGen, we are at the forefront of developing applications powered by our cutting-edge AI research. As a Data Infrastructure Engineer, you will lead the development of fundamental data systems and infrastructure. These systems are essential for powering our innovative applications, including Avatar IV, Photo Avatar, Instant Avatar, Interactive Avatar, and Video Translation. Your role will be crucial in enhancing the efficiency and scalability of these systems, which are vital to HeyGen's success.
Key Responsibilities:
- Design, build, and maintain the data infrastructure and systems needed to support our AI applications. Examples include
- Large scale data acquisition
- Multi-modal data processing framework and applications
- Storage and computation efficiency
- AI model evaluation and productionization infrastructure
- Collaborate with data scientists and machine learning engineers to understand their computational and data needs and provide efficient solutions.
- Stay up-to-date with the latest industry trends in data infrastructure technologies and advocate for best practices and continuous improvement.
- Assist in budget planning and management of cloud resources and other infrastructure expenses.
Qualifications
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field
- Proven experience in managing infrastructure for large-scale AI or machine learning projects
- Excellent problem-solving skills and the ability to work independently or as part of a team.
- Proficiency in Python
- Experience optimizing computational workflows
- Familiarity with AI and machine learning frameworks like TensorFlow or PyTorch.
Preferred Qualifications:
- Experience with GPU computing
- Experience with distributed data processing system
- Experience building large scale batch inference system
- Prior experience in a startup or fast-paced tech environment.
What HeyGen Offers
- Competitive salary and benefits package.
- Dynamic and inclusive work environment.
- Opportunities for professional growth and advancement.
- Collaborative culture that values innovation and creativity.
- Access to the latest technologies and tools.
HeyGen is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
About HeyGen
At HeyGen, our mission is to make visual storytelling accessible to all. Over the last decade, visual content has become the preferred method of information creation, consumption, and retention. But the ability to create such content, in particular videos, continues to be costly and challenging to scale. Our ambition is to build technology that equips more people with the power to reach, captivate, and inspire audiences. Learn more at www.heygen.com. Visit our Mission and Culture doc here.
Position Summary:
At HeyGen, we are at the forefront of developing applications powered by our cutting-edge AI research. As a Data Infrastructure Engineer, you will lead the development of fundamental data systems and infrastructure. These systems are essential for powering our innovative applications, including Avatar IV, Photo Avatar, Instant Avatar, Interactive Avatar, and Video Translation. Your role will be crucial in enhancing the efficiency and scalability of these systems, which are vital to HeyGen's success.
Key Responsibilities:
- Design, build, and maintain the data infrastructure and systems needed to support our AI applications. Examples include
- Large scale data acquisition
- Multi-modal data processing framework and applications
- Storage and computation efficiency
- AI model evaluation and productionization infrastructure
- Collaborate with data scientists and machine learning engineers to understand their computational and data needs and provide efficient solutions.
- Stay up-to-date with the latest industry trends in data infrastructure technologies and advocate for best practices and continuous improvement.
- Assist in budget planning and management of cloud resources and other infrastructure expenses.
Qualifications
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field
- Proven experience in managing infrastructure for large-scale AI or machine learning projects
- Excellent problem-solving skills and the ability to work independently or as part of a team.
- Proficiency in Python
- Experience optimizing computational workflows
- Familiarity with AI and machine learning frameworks like TensorFlow or PyTorch.
Preferred Qualifications:
- Experience with GPU computing
- Experience with distributed data processing system
- Experience building large scale batch inference system
- Prior experience in a startup or fast-paced tech environment.
What HeyGen Offers
- Competitive salary and benefits package.
- Dynamic and inclusive work environment.
- Opportunities for professional growth and advancement.
- Collaborative culture that values innovation and creativity.
- Access to the latest technologies and tools.
HeyGen is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
See all 78+ Data Infrastructure Engineer jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Data Infrastructure Engineer roles.
Get Access To All JobsTips for Finding E-3 Visa Sponsorship as a Data Infrastructure Engineer
Align your credentials to U.S. specialty occupation standards
Your Australian three-year bachelor's degree is generally accepted as equivalent to a U.S. four-year degree for E-3 purposes, but your job title must map to a role requiring that specific degree field. Roles labeled 'infrastructure engineer' that accept any degree won't qualify.
Target employers with active LCA filing history
DOL's OFLC disclosure database lists every certified Labor Condition Application by employer and job title. Search for 'data infrastructure' or 'infrastructure engineer' filings to identify companies already familiar with the E-3 sponsorship process before you apply.
Clarify cloud and platform specializations in your resume
Consular officers and HR teams assess whether your background supports a specialty occupation. Explicitly naming platforms like Snowflake, Databricks, or Apache Kafka helps establish the degree-level technical requirement that generic 'data engineering' descriptions can obscure.
Negotiate LCA filing into your offer timeline
Your employer must obtain a certified LCA from DOL before you can apply at the consulate. DOL typically certifies within seven working days, but build that window into your start date negotiation so your offer letter reflects a realistic timeline, not an optimistic one.
Use Migrate Mate's E-3 filing service to handle your LCA and visa paperwork
Data infrastructure roles often involve complex job descriptions spanning multiple technical disciplines, which can complicate LCA and DS-160 preparation. Migrate Mate's E-3 filing service manages the entire process from offer to consulate appointment, reducing the risk of documentation mismatches.
Prepare for nonimmigrant intent questions at the consulate
E-3 is a nonimmigrant visa, so officers assess ties to Australia. Having a clear answer about your intent to return, or about concurrent Australian professional commitments, strengthens your application, especially if you're relocating for a remote-first or distributed infrastructure team.
Data Infrastructure Engineer jobs are hiring across the US. Find yours.
Find Data Infrastructure Engineer JobsData Infrastructure Engineer E-3 Visa: Frequently Asked Questions
How do I find Data Infrastructure Engineer jobs that offer E-3 visa sponsorship?
Search Migrate Mate to find Data Infrastructure Engineer roles filtered specifically for E-3 visa sponsorship. Most general job boards don't distinguish between visa types, so you'll often apply to roles where the employer has never sponsored an E-3. Migrate Mate surfaces employers with active sponsorship history, saving you time on roles that won't convert to an offer.
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 Infrastructure Engineer role qualify as an E-3 specialty occupation?
Yes, provided the position requires a bachelor's degree or higher in a specific technical field such as computer science, information systems, or software engineering. The key test is whether the role demands theoretical and practical application of that degree field, not just general technical aptitude. Roles where any degree field is accepted may not meet the specialty occupation threshold, so the job description wording matters significantly.
How does the E-3 visa compare to H-1B for Data Infrastructure Engineer roles?
The E-3 has no annual cap and no lottery, so there's no randomized selection process. H-1B requires registration in a lottery that selects roughly one in four applicants. For a Data Infrastructure Engineer with an Australian passport, the E-3 allows you to apply directly after receiving a job offer and a certified LCA, with consulate appointments available year-round rather than tied to an April filing window.
Can I change employers while on an E-3 as a Data Infrastructure Engineer?
Yes, but you need to restart the process with your new employer. That means a fresh LCA filing with DOL and a new E-3 visa application, typically requiring a consulate visit unless you use a change of status filed with USCIS. You can begin work with the new employer once the new E-3 is approved, so plan your transition timeline to avoid a gap in authorized employment.
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