E-3 Visa Data Engineer Jobs
Data 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. Australian nationals can secure E-3 visa sponsorship without entering a lottery, making this one of the most direct paths to U.S. data engineering work.
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Get Access To All JobsAbout The Team
The Education team at OpenAI is building systems that help make ChatGPT a highly effective learning partner. As AI progress continues to accelerate, our goal is to design learning capabilities that help individuals, developers, educators, and organizations move from curiosity to mastery with the help of AI tools. This team works at the intersection of AI systems, learning science, and large-scale platforms to build the infrastructure for AI-native learning experiences globally.
About The Role
OpenAI is seeking a Learning Systems Engineer to help build the infrastructure behind AI-native learning experiences. This role sits at the intersection of backend systems, learning science, research, and product. You will translate pedagogical goals into production systems: learner models, progress tracking, adaptive feedback loops, formative assessments, and analytics to measure whether people are actually learning. Your work will help ensure that millions of people around the world can learn effectively and build real capability with AI.
What You'll Work On
- Build AI-Native Learning Infrastructure: Develop core systems for AI education, including dynamic experiences, progress tracking, and assessments.
- Enable Adaptive Learning: Develop capabilities that allow learning experiences to dynamically adapt to learners’ knowledge, goals, and behaviors over time.
- Design Data Systems for Insights: Build data pipelines and analytics systems to help educators understand learner outcomes, engagement patterns, and skill development.
- Empower Educators: Build systems that allow non-engineers to design, configure, and experiment with learning experiences without requiring direct engineering support.
What Success Looks Like In The First 12 Months
- Help launch new AI learning experiences that reach a broad set of learners.
- Refine infrastructure that allows educators to deliver adaptive learning and assessments.
- Validate the learning analytics pipeline to provide deeper insights into AI driven learning.
- Empower education teams to use AI tools to build and iterate at scale.
Core Qualifications
- 5–10+ years of experience in software, data, or learning engineering.
- Experience building data systems or infrastructure that support education & training.
- Experience working with learning data, analytics pipelines, or educational metrics.
- Comfort translating learning or pedagogical goals into technical systems.
Strong Additional Qualifications
- Background in learning science, instructional design, or education research.
- Experience building LMS platforms or training infrastructure.
- Experience with learning analytics, learner data models, or educational measurement.
- Experience building systems that incorporate AI models into educational workflows.
- Experience with credentialing, certification systems, or competency frameworks.
- Experience building platforms used by non-technical educators or curriculum teams.
Relevant Backgrounds
- Education technology engineering.
- Learning analytics or educational data systems.
- Instructional technology platforms.
- Training platforms for technical products.
- AI tutoring systems or adaptive learning platforms.
Why This Role Matters
AI will fundamentally transform how people learn, work, and create. This role is essential for building the systems that ensure the benefits of AI are accessible to all, enabling learners worldwide to develop meaningful capability with this foundational technology.
About OpenAI
OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.
We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates.
For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.
To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.
OpenAI Global Applicant Privacy Policy
At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
About The Team
The Education team at OpenAI is building systems that help make ChatGPT a highly effective learning partner. As AI progress continues to accelerate, our goal is to design learning capabilities that help individuals, developers, educators, and organizations move from curiosity to mastery with the help of AI tools. This team works at the intersection of AI systems, learning science, and large-scale platforms to build the infrastructure for AI-native learning experiences globally.
About The Role
OpenAI is seeking a Learning Systems Engineer to help build the infrastructure behind AI-native learning experiences. This role sits at the intersection of backend systems, learning science, research, and product. You will translate pedagogical goals into production systems: learner models, progress tracking, adaptive feedback loops, formative assessments, and analytics to measure whether people are actually learning. Your work will help ensure that millions of people around the world can learn effectively and build real capability with AI.
What You'll Work On
- Build AI-Native Learning Infrastructure: Develop core systems for AI education, including dynamic experiences, progress tracking, and assessments.
- Enable Adaptive Learning: Develop capabilities that allow learning experiences to dynamically adapt to learners’ knowledge, goals, and behaviors over time.
- Design Data Systems for Insights: Build data pipelines and analytics systems to help educators understand learner outcomes, engagement patterns, and skill development.
- Empower Educators: Build systems that allow non-engineers to design, configure, and experiment with learning experiences without requiring direct engineering support.
What Success Looks Like In The First 12 Months
- Help launch new AI learning experiences that reach a broad set of learners.
- Refine infrastructure that allows educators to deliver adaptive learning and assessments.
- Validate the learning analytics pipeline to provide deeper insights into AI driven learning.
- Empower education teams to use AI tools to build and iterate at scale.
Core Qualifications
- 5–10+ years of experience in software, data, or learning engineering.
- Experience building data systems or infrastructure that support education & training.
- Experience working with learning data, analytics pipelines, or educational metrics.
- Comfort translating learning or pedagogical goals into technical systems.
Strong Additional Qualifications
- Background in learning science, instructional design, or education research.
- Experience building LMS platforms or training infrastructure.
- Experience with learning analytics, learner data models, or educational measurement.
- Experience building systems that incorporate AI models into educational workflows.
- Experience with credentialing, certification systems, or competency frameworks.
- Experience building platforms used by non-technical educators or curriculum teams.
Relevant Backgrounds
- Education technology engineering.
- Learning analytics or educational data systems.
- Instructional technology platforms.
- Training platforms for technical products.
- AI tutoring systems or adaptive learning platforms.
Why This Role Matters
AI will fundamentally transform how people learn, work, and create. This role is essential for building the systems that ensure the benefits of AI are accessible to all, enabling learners worldwide to develop meaningful capability with this foundational technology.
About OpenAI
OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.
We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates.
For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.
To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.
OpenAI Global Applicant Privacy Policy
At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
See all 5,903+ Data Engineer jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Data Engineer roles.
Get Access To All JobsTips for Finding E-3 Visa Sponsorship as a Data Engineer
Verify your degree supports specialty occupation
Your Australian bachelor's degree must align with data engineering specifically, not just any technical field. A degree in computer science or information systems maps cleanly. A general business degree with self-taught SQL skills typically won't satisfy the DOL's specialty occupation standard for this role.
Target employers with active LCA filing history
Search the DOL's Office of Foreign Labor Certification disclosure data to identify companies that have certified LCAs for Data Engineer roles. Employers already familiar with the LCA process move faster and are less likely to stall over unfamiliar sponsorship steps.
Address the E-3 process before the offer stage
Raise E-3 eligibility with the hiring manager or recruiter before the offer letter stage, not after. Framing it as a two-to-three week employer LCA step with no lottery removes the two most common objections before they become blockers.
Use Migrate Mate's E-3 filing service for your LCA and paperwork
Once you have an offer, use Migrate Mate's E-3 filing service to handle your LCA and visa paperwork end to end. This removes the administrative burden from your employer and reduces the risk of certification delays caused by incomplete DOL filings.
Clarify contractor arrangements before filing
Data Engineers are frequently placed through staffing agencies or consulting firms. For the E-3, your sponsoring employer must be the entity controlling your day-to-day work. If a third-party client site is involved, the LCA employer relationship needs to be clearly defined before USCIS review.
Time your Australian credential evaluation strategically
Australian three-year bachelor's degrees are generally accepted as equivalent to U.S. four-year degrees, but individual consular officers can request clarification. Having a foreign credential evaluation ready before your consulate appointment prevents delays on a point that often surprises applicants.
Data Engineer jobs are hiring across the US. Find yours.
Find Data Engineer JobsData Engineer E-3 Visa: Frequently Asked Questions
How do I find Data Engineer jobs with E-3 visa sponsorship?
Migrate Mate is built specifically for this search. The platform filters Data Engineer roles by employers who have active E-3 or LCA filing history, so you're not cold-applying to companies unfamiliar with Australian visa sponsorship. Standard job boards show open roles but don't surface sponsorship willingness, which wastes significant time at the application stage.
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 Engineer role qualify as a specialty occupation for the E-3?
Yes. Data Engineer is classified under SOC code 15-1242 (Database Architects) and related codes, and consistently requires at least a bachelor's degree in computer science, information systems, or a closely related field. The role meets the DOL's specialty occupation standard because the theoretical and practical application of a specific body of knowledge is a standard industry requirement, not an employer preference.
How does the E-3 compare to the H-1B for Data Engineer roles?
The E-3 has no annual cap and no lottery, so you can apply at any point in the year and receive a decision within weeks of your consulate interview. The H-1B has an 85,000-slot annual cap with a randomised lottery, meaning most applicants are rejected before any review of their qualifications. For Australian Data Engineers, the E-3 is categorically more reliable as a first-entry visa.
Can I switch Data Engineer employers after I'm on an E-3?
Yes, but each employer change requires a new LCA and a new E-3 visa stamp before you begin work with the new employer. There's no transfer process equivalent to the H-1B portability rule. If you're already in the U.S., timing your employer change to coincide with a planned trip to Australia is the most practical approach, since you'll need a consulate appointment either way.
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