STEM OPT Cloud Data Engineer Jobs
Cloud Data Engineer roles in cloud infrastructure, pipeline development, and data architecture qualify for STEM OPT's 24-month extension when your degree falls under an eligible CIP code. Your employer must be enrolled in E-Verify, and you'll need a signed I-983 training plan before your extension starts.
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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 710+ Cloud Data Engineer jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Cloud Data Engineer roles.
Get Access To All JobsTips for Finding STEM OPT Authorization as a Cloud Data Engineer
Verify your CIP code before applying
Check that your STEM degree's CIP code appears on the DHS STEM Designated Degree Program List. Computer science, information systems, and data science codes commonly support Cloud Data Engineer roles, but exact coverage depends on your program's classification.
Confirm E-Verify enrollment before accepting offers
An employer must be actively enrolled in E-Verify before your STEM OPT extension is approved. Ask recruiters directly, or search the E-Verify employer search tool before your offer stage to avoid late-process surprises.
Map your training plan to cloud engineering tasks
Your I-983 must describe specific learning objectives tied to your actual role. For Cloud Data Engineer positions, list concrete skills like pipeline orchestration, cloud warehouse administration, or ETL framework development rather than generic software engineering goals.
Target employers with active LCA filings for data roles
Use Migrate Mate to filter Cloud Data Engineer postings by employers who have filed Labor Condition Applications for data engineering roles, giving you a verifiable signal of prior sponsorship activity before you invest time in any application.
Request the prevailing wage tier before negotiating
Look up the wage level for your target SOC code and metro area using the OFLC Wage Search before salary conversations. Employers filing an LCA must meet the prevailing wage, so knowing Level I through Level IV thresholds strengthens your negotiating position.
Cloud Data Engineer jobs are hiring across the US. Find yours.
Find Cloud Data Engineer JobsFrequently Asked Questions
Does a Cloud Data Engineer role qualify for STEM OPT?
Cloud Data Engineer positions typically qualify when your employer classifies the role under a STEM-eligible SOC code and your degree falls under an approved CIP code on the DHS STEM Designated Degree Program List. Degrees in computer science, information systems, data science, and related engineering fields most commonly meet the requirement. Confirm the SOC code with your employer before filing.
What does the I-983 training plan need to include for this role?
Your I-983 must outline specific learning goals directly connected to your Cloud Data Engineer duties. Describe concrete technical skills you'll develop, such as designing distributed data pipelines, managing cloud storage systems, or building data models in a cloud warehouse. Vague objectives like 'gain industry experience' are insufficient. Both you and your employer sign the form, and your DSO must approve it before USCIS processes your extension.
How do I confirm my employer is enrolled in E-Verify?
You can search the E-Verify employer search tool by company name to confirm active enrollment. E-Verify participation is a hard requirement for STEM OPT approval. If your employer isn't enrolled, they must complete enrollment before your DSO can recommend the extension. Starting this conversation early in the offer process prevents delays after you've accepted a position.
What happens to my STEM OPT if my H-1B is selected in the lottery?
If your H-1B is selected and your employer files the petition before your STEM OPT expires, cap-gap protection extends your work authorization through September 30 of that fiscal year. You can continue working as a Cloud Data Engineer during this period without interruption. USCIS confirms cap-gap coverage through the petition receipt. Your EAD does not need to be reissued for cap-gap protection to apply.
Where can I find Cloud Data Engineer jobs that accept STEM OPT students?
Migrate Mate lists Cloud Data Engineer roles specifically filtered for employers enrolled in E-Verify, which is the foundational requirement for STEM OPT eligibility. You can search by role, location, and sponsorship history to identify employers who have previously supported OPT students through the extension process, reducing the risk of discovering mid-offer that an employer can't support your authorization.
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