OPT AI Data Engineer Jobs
AI Data Engineer jobs are among the most OPT-friendly roles in tech. Most require a degree in computer science, data engineering, or a related field, and the work directly matches STEM OPT extension criteria, giving you up to three years of authorized work experience to build toward long-term sponsorship.
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INTRODUCTION
Our vision is to transform how the world uses information to enrich life for all.
Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever.
At Micron, our Product Marketing and Business Management teams help shape the future of memory and storage technology. We work across product, engineering, sales, operations, and finance to translate market and customer needs into business plans that support the growth of advanced memory solutions, including High Bandwidth Memory (HBM) for AI.
As an AI Memory Business Manager, Data & Analytics, you will help plan, analyze, and operate Micron’s growing AI memory business. You will partner with business leaders and global, cross-functional teams to turn complex data into actionable insights, improve business planning, and support decisions across demand, supply, customers, and products. You will also help modernize our processes through AI, automation, and advanced analytics while building expertise in AI memory markets and business management.
Responsibilities:
- Analyze AI memory demand, including HBM, to improve forecasting, data quality, supply planning, and alignment across customers and products
- Support supply allocation, customer prioritization, product mix, and lifecycle decisions through scenario analysis and clear business recommendations
- Build dashboards, business metrics, market models, and TAM analyses to track performance, identify opportunities, and support business planning
- Prepare MSR, QBR, and executive business reviews that connect market, customer, product, supply, and financial insights
- Partner with Business Development, Sales, Operations, Finance, Product Management, and technical teams to improve workflows, automate recurring processes, and drive timely decisions
MINIMUM QUALIFICATIONS:
- Bachelor’s or Master’s degree in Business, Finance, Economics, Supply Chain, Data Analytics, Engineering, or a related field
- Bachelor’s degree with 5+ years of relevant experience, or a Master’s degree; new graduates with strong analytical experience are encouraged to apply
- Strong analytical and problem-solving skills with experience using complex data to develop insights and recommendations
- Proficiency with Microsoft Excel for data analysis or business modeling and PowerPoint for communicating findings
- Experience with data visualization tools such as Power BI, Tableau, or similar platforms through work, internships, projects, or academic experience
PREFERRED QUALIFICATIONS:
- Experience or knowledge in semiconductors, memory, cloud infrastructure, AI accelerators, or other high-technology markets
- Experience with demand forecasting, supply-demand planning, market or TAM modeling, dashboards, portfolio planning, or executive business reviews
- Experience using generative AI, AI-assisted analytics, workflow automation, low-code tools, scripting, or modern data platforms
- Understanding of product lifecycle management, customer prioritization, portfolio optimization, or supply-demand tradeoffs
- Strong communication, curiosity, learning agility, and the ability to collaborate across teams in a fast-changing environment
LOCATION: Boise, Idaho
Travel: Less than 10%
As a world leader in the semiconductor industry, Micron is dedicated to your personal wellbeing and professional growth. Micron benefits are designed to help you stay well, provide peace of mind and help you prepare for the future. We offer a choice of medical, dental and vision plans in all locations enabling team members to select the plans that best meet their family healthcare needs and budget. Micron also provides benefit programs that help protect your income if you are unable to work due to illness or injury, and paid family leave. Additionally, Micron benefits include a robust paid time-off program and paid holidays. For additional information regarding the Benefit programs available, please see the Benefits Guide posted on micron.com/careers/benefits.
Micron is proud to be an equal opportunity workplace and is an affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, national origin, citizenship status, disability, protected veteran status, gender identity or any other factor protected by applicable federal, state, or local laws.
To learn more about Micron, please visit micron.com/careers
For US Sites Only: To request assistance with the application process and/or for reasonable accommodations, please contact Micron’s People Organization at hrsupport_na@micron.com or 1-800-336-8918 (select option #3)
Micron Prohibits the use of child labor and complies with all applicable laws, rules, regulations, and other international and industry labor standards.
Micron does not charge candidates any recruitment fees or unlawfully collect any other payment from candidates as consideration for their employment with Micron.
AI alert: Candidates are encouraged to use AI tools to enhance their resume and/or application materials. However, all information provided must be accurate and reflect the candidate's true skills and experiences. Misuse of AI to fabricate or misrepresent qualifications will result in immediate disqualification.
Fraud alert: Micron advises job seekers to be cautious of unsolicited job offers and to verify the authenticity of any communication claiming to be from Micron by checking the official Micron careers website in the About Micron Technology, Inc.
Micron Foundation
Strong communities and education are vital to the success of both society and innovative companies. Every Micron site understands the complex needs of their local community. Whether it’s through strategic giving, sponsorships or deploying team member volunteers, we are making a difference.
Sustainability
Micron is committed to sustainable practices and supporting our global community. We are building and maintaining sustainable operations, products, and communities while focusing on opportunities and risks that are most important to our business success and stakeholders.
See all 545+ OPT AI Data Engineer Jobs
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Get Access To All JobsTips for Finding OPT Sponsorship as an AI Data Engineer
Target companies with active H-1B filing history
Employers who have sponsored H-1B visas before are far more likely to sponsor yours. Search OFLC disclosure data to verify whether a company has filed for data engineering roles specifically, not just tech roles in general.
Lead with your STEM OPT timeline in outreach
Hiring managers often assume international candidates need sponsorship immediately. Clarifying upfront that you have up to three years of work authorization under STEM OPT removes the biggest objection before it becomes a reason to pass.
Align your skills with the employer's data stack
Fluency in Spark, Airflow, dbt, or cloud platforms like AWS and GCP signals readiness to contribute fast. Employers weigh sponsorship cost against ramp-up time, so demonstrating immediate impact strengthens your case considerably.
Pursue roles where your degree field matches the job directly
H-1B specialty occupation approval depends on a clear connection between your degree and the role. A data engineering position paired with a computer science or information systems degree is among the strongest combinations for petition approval.
Ask about sponsorship policy at the offer stage, not the application stage
Raising sponsorship too early filters you out before you've demonstrated value. Get through the technical interviews first, then ask whether the company has sponsored international hires in data engineering or similar roles before.
Build a portfolio that shows production-level work, not just coursework
Data engineering portfolios should include pipeline architecture, schema design decisions, and performance tradeoffs, not just completed projects. Employers sponsoring visas want evidence you can own infrastructure, not just build assignments under supervision.
AI Data Engineer OPT: Frequently Asked Questions
Does an AI Data Engineer role qualify for the STEM OPT extension?
Yes, AI Data Engineer roles almost always qualify for the 24-month STEM OPT extension, provided your degree is in an eligible STEM field such as computer science, data science, information systems, or electrical engineering. Your employer must also be enrolled in E-Verify, which most mid-size and large tech companies already are. The extension gives you up to three years of total OPT work authorization.
What types of employers are most likely to sponsor an AI Data Engineer for an H-1B?
Technology companies, financial services firms, and large enterprises with dedicated data platforms teams are the most consistent sponsors for data engineering roles. Companies building AI infrastructure at scale, such as those in cloud services, fintech, and health tech, regularly file H-1B petitions for this role. Migrate Mate filters job listings by sponsorship willingness, so you can focus on employers with a real track record rather than guessing.
Can I work as an AI Data Engineer for a startup on OPT?
Yes, but startups carry more risk for OPT students than established employers. If a startup is not enrolled in E-Verify, you cannot use your STEM OPT extension there. Startups also have a lower rate of H-1B sponsorship due to cost and legal overhead. If you pursue a startup role, confirm E-Verify enrollment before accepting and ask directly about their history sponsoring international employees.
How does the 90-day unemployment limit affect AI Data Engineers on OPT?
During your standard OPT period, you cannot accumulate more than 90 days of unemployment. During your STEM OPT extension, that limit increases to 150 cumulative days. For AI Data Engineers, this matters most during job transitions. If you leave one role without another lined up, the clock starts immediately. Keeping your job search active and targeted from the beginning of your OPT period reduces this risk substantially.
What should I look for in an AI Data Engineer job listing to assess sponsorship likelihood?
Look for explicit mentions of visa sponsorship availability, E-Verify enrollment, and whether the company has filed LCAs or H-1B petitions in data engineering or related titles previously. Job listings that specify 'must be authorized to work without sponsorship' are a hard no. Beyond the listing itself, checking a company's public OFLC disclosure filings gives you objective evidence of their actual sponsorship history before you invest time in the application process.