OPT Cloud Data Engineer Jobs
Cloud Data Engineer jobs are among the most OPT-friendly roles in tech. Employers regularly sponsor H-1B visa and full-time visas for skilled data engineers, and the specialty occupation classification is well established for this field. Most roles require a degree in computer science, data engineering, or a related field.
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Get Access To All JobsWho We Are:
Hewlett Packard Enterprise is the global edge-to-cloud company advancing the way people live and work. We help companies connect, protect, analyze, and act on their data and applications wherever they live, from edge to cloud, so they can turn insights into outcomes at the speed required to thrive in today’s complex world. Our culture thrives on finding new and better ways to accelerate what’s next. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good. If you are looking to stretch and grow your career our culture will embrace you. Open up opportunities with HPE.
Job Description:
Job Family Definition:
As a data engineer, you’ll ensure the reliability, performance, and security of applications. You’ll collaborate with data scientists to design, build, and maintain data pipelines, platforms, and services. You’ll bridge the gap between data engineering and advanced AI-driven applications. You’ll work with cutting-edge AI/ML technologies like LLMs, autonomous AI agents, enabling intelligent automation and deep data insights. You’ll contribute to product development in programming, data analysis and CI/CD infrastructure.
Responsibilities:
- Application design and development in streaming or batch mode over Kafka and Spark
- Building RAG pipelines and Agents/Tools
- Evaluate and implement new technologies and tools to improve efficiency and reduce cost
- Analyze and validate telemetry data, learn error patterns and produce views that show network problem conditions and patterns
- Work with a team of data scientists, domain experts, architects and other engineers to increase the accuracy of AI outcomes in our device management product
- Build CI/CD pipelines
- Work with SMEs and data scientists to increase accuracy of actionable insights
Education and Experience Required:
- Degree in Computer Science, Information Systems, or equivalent
- Master's with 2 years of data engineering experience
- At least 4 years of work experience in relevant technologies
Knowledge and Skills:
- 2+ years of programming experience in Python
- 1+ years of programming experience in Java
- Expertise in big data technologies such as Apache Spark or Kafka with at least 1 year of relevant experience
- Experience with developing Generative-AI and Agentic AI based applications with at least 1 year of relevant experience
- Experience with managing and analyzing large data sets
- Experience with containerization and orchestration tools such as Kubernetes and Airflow with at least 1 year of relevant experience
- Experience developing applications in Cloud computing environments with at least 2 years of relevant experience
Additional Desirable Skills:
- Good understanding of WiFi Wireless Networking, Switching and Routing concepts
- Experience in one or more deployment tools such as Airflow or ArgoCD
What We Can Offer You:
Health & Wellbeing
We strive to provide our team members and their loved ones with a comprehensive suite of benefits that supports their physical, financial and emotional wellbeing.
Personal & Professional Development
We also invest in your career because the better you are, the better we all are. We have specific programs catered to helping you reach any career goals you have — whether you want to become a knowledge expert in your field or apply your skills to another division.
Unconditional Inclusion
We are unconditionally inclusive in the way we work and celebrate individual uniqueness. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good.
Job: Engineering
Job Level: TCP_03
The expected salary/wage range for this position is provided below. Actual offer may vary from this range based upon geographic location, work experience, education/training, and/or skill level.
– United States of America: Annual Salary USD 136,500 - 276,500 in California
The listed salary range reflects base salary. Variable incentives may also be offered.
Information about employee benefits offered in the US can be found at https://myhperewards.com/main/new-hire-enrollment.html
HPE is an Equal Employment Opportunity/ Veterans/Disabled/LGBT employer. We do not discriminate on the basis of race, gender, or any other protected category, and all decisions we make are made on the basis of qualifications, merit, and business need. Our goal is to be one global team that is representative of our customers, in an inclusive environment where we can continue to innovate and grow together. Please click here: Equal Employment Opportunity.
Hewlett Packard Enterprise is EEO Protected Veteran/ Individual with Disabilities.
HPE will comply with all applicable laws related to employer use of arrest and conviction records, including laws requiring employers to consider for employment qualified applicants with criminal histories.
No Fees Notice & Recruitment Fraud Disclaimer
It has come to HPE’s attention that there has been an increase in recruitment fraud whereby scammers impersonate HPE or HPE-authorized recruiting agencies and offer fake employment opportunities to candidates. These scammers often seek to obtain personal information or money from candidates.
Please note that Hewlett Packard Enterprise (HPE), its direct and indirect subsidiaries and affiliated companies, and its authorized recruitment agencies/vendors will never charge any candidate a registration fee, hiring fee, or any other fee in connection with its recruitment and hiring process. The credentials of any hiring agency that claims to be working with HPE for recruitment of talent should be verified by candidates and candidates shall be solely responsible to conduct such verification. Any candidate/individual who relies on the erroneous representations made by fraudulent employment agencies does so at their own risk, and HPE disclaims liability for any damages or claims that may result from any such communication.
Who We Are:
Hewlett Packard Enterprise is the global edge-to-cloud company advancing the way people live and work. We help companies connect, protect, analyze, and act on their data and applications wherever they live, from edge to cloud, so they can turn insights into outcomes at the speed required to thrive in today’s complex world. Our culture thrives on finding new and better ways to accelerate what’s next. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good. If you are looking to stretch and grow your career our culture will embrace you. Open up opportunities with HPE.
Job Description:
Job Family Definition:
As a data engineer, you’ll ensure the reliability, performance, and security of applications. You’ll collaborate with data scientists to design, build, and maintain data pipelines, platforms, and services. You’ll bridge the gap between data engineering and advanced AI-driven applications. You’ll work with cutting-edge AI/ML technologies like LLMs, autonomous AI agents, enabling intelligent automation and deep data insights. You’ll contribute to product development in programming, data analysis and CI/CD infrastructure.
Responsibilities:
- Application design and development in streaming or batch mode over Kafka and Spark
- Building RAG pipelines and Agents/Tools
- Evaluate and implement new technologies and tools to improve efficiency and reduce cost
- Analyze and validate telemetry data, learn error patterns and produce views that show network problem conditions and patterns
- Work with a team of data scientists, domain experts, architects and other engineers to increase the accuracy of AI outcomes in our device management product
- Build CI/CD pipelines
- Work with SMEs and data scientists to increase accuracy of actionable insights
Education and Experience Required:
- Degree in Computer Science, Information Systems, or equivalent
- Master's with 2 years of data engineering experience
- At least 4 years of work experience in relevant technologies
Knowledge and Skills:
- 2+ years of programming experience in Python
- 1+ years of programming experience in Java
- Expertise in big data technologies such as Apache Spark or Kafka with at least 1 year of relevant experience
- Experience with developing Generative-AI and Agentic AI based applications with at least 1 year of relevant experience
- Experience with managing and analyzing large data sets
- Experience with containerization and orchestration tools such as Kubernetes and Airflow with at least 1 year of relevant experience
- Experience developing applications in Cloud computing environments with at least 2 years of relevant experience
Additional Desirable Skills:
- Good understanding of WiFi Wireless Networking, Switching and Routing concepts
- Experience in one or more deployment tools such as Airflow or ArgoCD
What We Can Offer You:
Health & Wellbeing
We strive to provide our team members and their loved ones with a comprehensive suite of benefits that supports their physical, financial and emotional wellbeing.
Personal & Professional Development
We also invest in your career because the better you are, the better we all are. We have specific programs catered to helping you reach any career goals you have — whether you want to become a knowledge expert in your field or apply your skills to another division.
Unconditional Inclusion
We are unconditionally inclusive in the way we work and celebrate individual uniqueness. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good.
Job: Engineering
Job Level: TCP_03
The expected salary/wage range for this position is provided below. Actual offer may vary from this range based upon geographic location, work experience, education/training, and/or skill level.
– United States of America: Annual Salary USD 136,500 - 276,500 in California
The listed salary range reflects base salary. Variable incentives may also be offered.
Information about employee benefits offered in the US can be found at https://myhperewards.com/main/new-hire-enrollment.html
HPE is an Equal Employment Opportunity/ Veterans/Disabled/LGBT employer. We do not discriminate on the basis of race, gender, or any other protected category, and all decisions we make are made on the basis of qualifications, merit, and business need. Our goal is to be one global team that is representative of our customers, in an inclusive environment where we can continue to innovate and grow together. Please click here: Equal Employment Opportunity.
Hewlett Packard Enterprise is EEO Protected Veteran/ Individual with Disabilities.
HPE will comply with all applicable laws related to employer use of arrest and conviction records, including laws requiring employers to consider for employment qualified applicants with criminal histories.
No Fees Notice & Recruitment Fraud Disclaimer
It has come to HPE’s attention that there has been an increase in recruitment fraud whereby scammers impersonate HPE or HPE-authorized recruiting agencies and offer fake employment opportunities to candidates. These scammers often seek to obtain personal information or money from candidates.
Please note that Hewlett Packard Enterprise (HPE), its direct and indirect subsidiaries and affiliated companies, and its authorized recruitment agencies/vendors will never charge any candidate a registration fee, hiring fee, or any other fee in connection with its recruitment and hiring process. The credentials of any hiring agency that claims to be working with HPE for recruitment of talent should be verified by candidates and candidates shall be solely responsible to conduct such verification. Any candidate/individual who relies on the erroneous representations made by fraudulent employment agencies does so at their own risk, and HPE disclaims liability for any damages or claims that may result from any such communication.
See all 832+ OPT Cloud Data Engineer Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new OPT Cloud Data Engineer Jobs.
Get Access To All JobsTips for Finding OPT Sponsorship as a Cloud Data Engineer
Target companies with active H-1B filings
Search OFLC disclosure data to identify employers who have sponsored cloud or data engineering roles before. Past H-1B visa filings are the strongest indicator that a company understands the sponsorship process and is willing to repeat it.
Get certified on major cloud platforms
AWS, Google Cloud, and Azure certifications signal job-ready skills to hiring managers. Employers sponsoring OPT students want confidence the hire is worth the investment, and cloud credentials reduce perceived risk during the evaluation process.
Apply before your OPT start date
Hiring timelines for data engineering roles can stretch six to ten weeks. Starting your search two to three months before your OPT begins gives you enough runway to clear interviews, background checks, and offer negotiations before your work authorization activates.
Highlight pipeline and platform experience explicitly
Employers screening OPT candidates want proof of hands-on cloud work. List specific tools you have used, such as Apache Airflow, dbt, BigQuery, or Redshift, and describe the scale and outcome of each project directly on your resume.
Focus on companies with STEM OPT extension track records
Cloud Data Engineer roles almost universally qualify for the 24-month STEM OPT extension. Prioritize employers with E-Verify enrollment, which is required for STEM OPT, so you are not disqualified from extending your authorization after your initial 12 months.
Use Migrate Mate to filter for OPT-friendly roles
Not every job posting signals visa openness. Migrate Mate surfaces Cloud Data Engineer roles from employers with verified sponsorship history, so you spend less time guessing and more time applying to companies that are genuinely open to OPT candidates.
Cloud Data Engineer OPT: Frequently Asked Questions
Does Cloud Data Engineer qualify as a specialty occupation for OPT and H-1B purposes?
Yes. Cloud Data Engineer is well established as a specialty occupation. The role requires at minimum a bachelor's degree in computer science, information systems, or a related technical field, which satisfies the USCIS specialty occupation standard. This makes it one of the stronger job titles for both OPT authorization and eventual H-1B sponsorship.
Does a Cloud Data Engineer role qualify for the 24-month STEM OPT extension?
In most cases, yes. Cloud Data Engineering typically falls under CIP codes related to computer science or information technology, which are on the STEM Designated Degree Program list. Your degree field determines eligibility, not the job title. Confirm your degree's CIP code with your DSO before assuming you qualify. Your employer must also be enrolled in E-Verify for the extension to be approved.
How do I find Cloud Data Engineer jobs where the employer is open to OPT candidates?
Migrate Mate is built specifically for this. It lists Cloud Data Engineer roles from employers with documented sponsorship activity, so you can filter by OPT-friendly companies rather than applying blindly. Many standard job boards do not surface visa status preferences clearly, which wastes time on roles that will screen you out early in the process.
Can I work on cloud platforms for clients as a Cloud Data Engineer on OPT?
Yes, as long as you are employed directly by an employer who authorized your OPT. You cannot work as an independent contractor or freelancer on OPT. If your role involves client-facing cloud deployments, that is standard full-time employment activity and is fully permitted. Consulting firm arrangements are allowed only if you are a W-2 employee of the consulting firm, not a 1099 contractor.
What degree fields are most recognized for Cloud Data Engineer OPT roles?
Computer science, data science, information systems, and computer engineering are the most commonly accepted degree fields. Some employers also accept electrical engineering or applied mathematics if your coursework included significant programming or data systems components. If your degree title is less conventional, be prepared to provide a transcript showing relevant technical coursework, particularly during the H-1B petition stage with USCIS.