STEM OPT Data Engineering Intern Jobs
Data Engineering Intern roles qualify for STEM OPT when your degree falls under an eligible CIP code in computer science, information technology, or a related STEM field. Your employer must be enrolled in E-Verify, and the 24-month extension gives you up to 36 months total to build hands-on pipeline and infrastructure experience while maintaining F-1 status.
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Get Access To All JobsSUMMARY
Imagine what you could do here. At Apple, great ideas have a way of becoming great products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. The G&A Solutions Engineering organization at Apple primarily focuses on creative ways to engineer business solutions to meet growing needs of Apple's Finance, iTunes, Sales, Retail, and Services organizations. At core, our portfolio comprises of engineered custom solutions to process high volume transactions from Apple Pay, iTunes, Ads, App Store, iPhone Activations to Sales from Retail, Online, and Resellers. These solutions are based on cutting edge enterprise technologies ranging from Distributed Systems, Microservices, Java, Spring/Boot, Oracle, MongoDB, AWS services to AI/ML, Generative AI, and Blockchain. Accurately processing such high volume transactions is our core strength.
DESCRIPTION
The iRecon Payments team is seeking a highly motivated Data Engineer with a strong background in Data Science to drive our Agentic AI initiatives. In this role, you will build robust data pipelines, extract features, and curate high-quality datasets to train custom LLMs. You will navigate complex financial ecosystems to modernize data flows, ensuring accurate reconciliation, invoicing, and payments. You will play a critical role in building GenAI-powered solutions that improve user productivity and operational efficiency.
MINIMUM QUALIFICATIONS
- 2+ years of experience building machine learning solutions using supervised/unsupervised learning, classification, recommendation systems, and clustering algorithms
- In-depth knowledge of transformer architecture, LLMs, and Agentic AI concepts
- Hands-on experience fine-tuning Large Language Models (LLMs) using PEFT/LoRA for domain-specific tasks
- Proven experience building and extending RAG, MCP (Model Context Protocol), or multi-agent frameworks (e.g., LangChain, LlamaIndex, AutoGen)
- Bachelor's degree in Computer Science, AI, Machine Learning, or relevant work experience
PREFERRED QUALIFICATIONS
- 3+ years of experience building production-grade AI/ML solutions in the FinTech domain
- Strong written and verbal communication skills with the ability to articulate complex technical concepts
- Demonstrated ability to modernize legacy data systems and adapt to new AI architectures
- Experience with "Human-in-the-loop" data workflows for financial operations
- Demonstrated ability to quickly learn and adapt to new technologies and tools
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant
At Apple, we believe accessibility is a fundamental human right. You’ll find that idea reflected in everything here — in our culture, our benefits and our digital tools. By welcoming as many perspectives as possible, we help you build a career where you feel like you belong.
Apple accepts applications to this posting on an ongoing basis.
SUMMARY
Imagine what you could do here. At Apple, great ideas have a way of becoming great products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. The G&A Solutions Engineering organization at Apple primarily focuses on creative ways to engineer business solutions to meet growing needs of Apple's Finance, iTunes, Sales, Retail, and Services organizations. At core, our portfolio comprises of engineered custom solutions to process high volume transactions from Apple Pay, iTunes, Ads, App Store, iPhone Activations to Sales from Retail, Online, and Resellers. These solutions are based on cutting edge enterprise technologies ranging from Distributed Systems, Microservices, Java, Spring/Boot, Oracle, MongoDB, AWS services to AI/ML, Generative AI, and Blockchain. Accurately processing such high volume transactions is our core strength.
DESCRIPTION
The iRecon Payments team is seeking a highly motivated Data Engineer with a strong background in Data Science to drive our Agentic AI initiatives. In this role, you will build robust data pipelines, extract features, and curate high-quality datasets to train custom LLMs. You will navigate complex financial ecosystems to modernize data flows, ensuring accurate reconciliation, invoicing, and payments. You will play a critical role in building GenAI-powered solutions that improve user productivity and operational efficiency.
MINIMUM QUALIFICATIONS
- 2+ years of experience building machine learning solutions using supervised/unsupervised learning, classification, recommendation systems, and clustering algorithms
- In-depth knowledge of transformer architecture, LLMs, and Agentic AI concepts
- Hands-on experience fine-tuning Large Language Models (LLMs) using PEFT/LoRA for domain-specific tasks
- Proven experience building and extending RAG, MCP (Model Context Protocol), or multi-agent frameworks (e.g., LangChain, LlamaIndex, AutoGen)
- Bachelor's degree in Computer Science, AI, Machine Learning, or relevant work experience
PREFERRED QUALIFICATIONS
- 3+ years of experience building production-grade AI/ML solutions in the FinTech domain
- Strong written and verbal communication skills with the ability to articulate complex technical concepts
- Demonstrated ability to modernize legacy data systems and adapt to new AI architectures
- Experience with "Human-in-the-loop" data workflows for financial operations
- Demonstrated ability to quickly learn and adapt to new technologies and tools
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant
At Apple, we believe accessibility is a fundamental human right. You’ll find that idea reflected in everything here — in our culture, our benefits and our digital tools. By welcoming as many perspectives as possible, we help you build a career where you feel like you belong.
Apple accepts applications to this posting on an ongoing basis.
See all 820+ STEM OPT Data Engineering Intern Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new STEM OPT Data Engineering Intern Jobs.
Get Access To All JobsTips for Finding STEM OPT Authorization as a Data Engineering Intern
Verify your CIP code before applying
Check that your degree's CIP code appears on the DHS STEM Designated Degree Program list. Data engineering roles most often align with computer science, information systems, or electrical engineering codes, and a mismatch disqualifies your extension before you even start.
Screen job postings for E-Verify enrollment
Before submitting any application, confirm the employer is enrolled in E-Verify through the official E-Verify employer search. Internship postings rarely flag this upfront, so checking early saves you from accepting an offer that can't support your STEM OPT extension.
Build a portfolio around data pipeline projects
Hiring managers for data engineering intern roles expect evidence of ETL workflow design, SQL query optimization, or cloud data stack experience. A public GitHub repository with documented pipeline projects gives recruiters a concrete reason to move you forward over candidates with identical coursework.
Request the I-983 training plan before your start date
Your employer must complete and sign the I-983 before your STEM OPT extension begins. Ask your hiring manager or HR contact to initiate the training plan during onboarding so your DSO can submit the I-20 update to USCIS without delays that could gap your work authorization.
Use Migrate Mate to find E-Verify employers hiring interns
Filter your data engineering intern search on Migrate Mate to surface employers already enrolled in E-Verify and with OPT hiring history. This cuts the time you'd otherwise spend manually researching sponsorship eligibility company by company across general job boards.
Align your application timeline with your OPT end date
File your STEM OPT extension application with USCIS no later than 90 days before your initial OPT EAD expires. For data engineering intern roles that convert to full-time, this timeline also affects cap-gap eligibility if your employer files an H-1B visa petition on your behalf.
Frequently Asked Questions
Does a data engineering intern role qualify for the STEM OPT extension?
Yes, if your degree is in an eligible STEM field such as computer science, information systems, or a related discipline with a qualifying CIP code on the DHS STEM Designated Degree Program list. The role itself must also provide practical training directly related to your degree. Your DSO confirms eligibility when you apply for the extension through USCIS.
How do I know if a data engineering intern employer is enrolled in E-Verify?
Use the official E-Verify employer search tool to look up any company before you accept an offer. E-Verify enrollment is a hard requirement for STEM OPT, and internship postings rarely disclose this information upfront. You can also browse Data Engineering Intern roles on Migrate Mate, which surfaces employers with verified OPT hiring history so you're not starting from scratch on each application.
What goes into the I-983 training plan for a data engineering internship?
The I-983 requires your employer to describe the specific learning objectives, supervision structure, and how the internship connects to your STEM degree. For data engineering roles, this typically includes goals around pipeline architecture, data modeling, or cloud infrastructure work. Your employer signs the plan, your DSO updates your I-20, and you must report any material changes to training within five business days.
What happens to my STEM OPT if my data engineering internship converts to a full-time role and my employer files an H-1B petition?
If your employer files an H-1B petition on your behalf before your OPT EAD expires and you're selected in the lottery, cap-gap protections allow you to keep working through September 30 of that fiscal year even if your EAD expires first. You must maintain valid F-1 status throughout this period, and your DSO should update your SEVIS record to reflect the cap-gap extension.
Which STEM degree fields make you eligible for the STEM OPT extension in a data engineering role?
Degrees in computer science, computer engineering, information technology, electrical engineering, mathematics, and statistics are among the most common qualifying fields for data engineering positions. The degree must appear under an eligible CIP code on the DHS STEM Designated Degree Program list. Check O*NET for the occupational classification tied to the data engineering intern role to confirm the degree-to-occupation alignment your DSO will review.