Data Engineer Jobs in USA with Visa Sponsorship
Data engineer roles carry strong sponsorship potential due to their technical depth in building and maintaining large-scale data pipelines, ETL systems, and cloud infrastructure. Employers view data engineers similarly to software engineers when evaluating sponsorship decisions, and proficiency in platforms like AWS, GCP, Snowflake, and Spark significantly strengthens candidacy. STEM degree holders benefit from the 36-month OPT extension while pursuing long-term H-1B visa sponsorship. For detailed occupation requirements, see the O*NET profile.
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Get Access To All JobsData Science Intern
This role has been designed as 'Hybrid' with a requirement that you will work on average 2 days per week from an HPE office.
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:
This requisition may be classified as on desk or hybrid depending on location and role.
Job Family Definition:
Designs, develops and applies programs, methodologies and systems based on advanced analytic models (e.g. advanced statistics, operations research, computer science, process) to transform structured and unstructured data into meaningful and actionable information insights that drive decision making. Uses visualization techniques to translate analytic insights into understandable business stories (eg. descriptive, inferential and predictive insights). Embeds analytics into client’s business processes and applications. Combines business acumen and scientific methods to solve business problems.
Management Level Definition:
Contributes to assignments of limited scope by applying technical concepts and theoretical knowledge acquired through specialized training, education, or previous experience. Acts as team member by providing information, analysis and recommendations in support of team efforts. Exercises independent judgment within defined parameters.
Responsibilities:
- Participates in the analysis and validation of data sets/solutions/user experience.
- Aids in the development, enhancement and maintenance of a client's metadata based on analytic objectives. May load data into the infrastructure and contributes to the creation of the hypothesis matrix. Prepares a portion of the data for the Exploratory Data Analysis (EDA) / hypotheses.
- Contributes to building models for the overall solution, validates results and performance. Contributes to the selection of the model that supports the overall solution.
- Supports the research, identification and delivery of data science solutions to problems.
- Supports visualization of the model's insights, user experience and configuration tools for the analytics model.
Intern Education & Experience Required:
Working towards a Bachelor's and/or Master's degree with a focus in Data Science, Computer Science, Computer Engineering, Software development, or other IT related field.
Knowledge and Skills:
- Basic knowledge of data science methodologies.
- Basic understanding of business requirements and data science objectives.
- Basic data mapping, data transfer and data migration skills. Basic understanding of analytics software (eg. R, SAS, SPSS, Python).
- Basic knowledge of machine learning, data integration, and modeling skills and ETL tools (eg. Informatica, Ab Initio, Talend).
- Basic communication and presentation skills.
- Basic data knowledge of relevant data programming languages.
- Basic knowledge of data visualization techniques.
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.
Let's Stay Connected:
Follow @HPECareers on Instagram to see the latest on people, culture and tech at HPE.
Job:
Engineering
Job Level:
N/A
For the Analyst position: "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: Hourly Salary USD 35.00 - 40.25 in Colorado // 35.00 - 40.25 in Massachusetts // 35.00 - 40.25 in California // 35.00 - 40.25 in Minnesota & North Carolina & Texas & Wisconsin
The listed salary range reflects base salary. Variable incentives may also be offered."
For the Scientist position: "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: Hourly Salary USD 40.00 - 46.00 in Colorado // 40.00 - 46.00 in Massachusetts // 40.00 - 46.00 in California // 40.00 - 46.00 in Minnesota & North Carolina & Texas & Wisconsin
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
The estimated job application period closure is May 25 2027; this timeline is provided for transparency and internal planning purposes.
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.
Recruitment Fraud Alert
We have become aware of an increase in fraudulent recruitment activities in which individuals impersonate our company or authorized recruitment agencies to offer fake employment opportunities. These scams may occur through false websites, emails, social media, or chat-based applications and often aim to obtain personal information or money. Please note that Hewlett Packard Enterprise (HPE), its direct and indirect subsidiaries and affiliated companies, and its authorized recruitment agencies/vendors will never charge a candidate a registration fee, hiring fee, or any other fee in connection with its recruitment and hiring process. We also never request personal information such as back account details, Social Security numbers, or national IDs via social media or chat applications.
All legitimate job opportunities will come through official company channels, and candidates are responsible for verifying the credentials of any third party claiming to represent the company. Any reliance on fraudulent communication is at the individual’s own risk, and HPE disclaims legal liability for any resulting damages. If you suspect recruitment fraud, do not share personal information or make any payments and report the incident to your local authorities immediately.
Data Science Intern
This role has been designed as 'Hybrid' with a requirement that you will work on average 2 days per week from an HPE office.
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:
This requisition may be classified as on desk or hybrid depending on location and role.
Job Family Definition:
Designs, develops and applies programs, methodologies and systems based on advanced analytic models (e.g. advanced statistics, operations research, computer science, process) to transform structured and unstructured data into meaningful and actionable information insights that drive decision making. Uses visualization techniques to translate analytic insights into understandable business stories (eg. descriptive, inferential and predictive insights). Embeds analytics into client’s business processes and applications. Combines business acumen and scientific methods to solve business problems.
Management Level Definition:
Contributes to assignments of limited scope by applying technical concepts and theoretical knowledge acquired through specialized training, education, or previous experience. Acts as team member by providing information, analysis and recommendations in support of team efforts. Exercises independent judgment within defined parameters.
Responsibilities:
- Participates in the analysis and validation of data sets/solutions/user experience.
- Aids in the development, enhancement and maintenance of a client's metadata based on analytic objectives. May load data into the infrastructure and contributes to the creation of the hypothesis matrix. Prepares a portion of the data for the Exploratory Data Analysis (EDA) / hypotheses.
- Contributes to building models for the overall solution, validates results and performance. Contributes to the selection of the model that supports the overall solution.
- Supports the research, identification and delivery of data science solutions to problems.
- Supports visualization of the model's insights, user experience and configuration tools for the analytics model.
Intern Education & Experience Required:
Working towards a Bachelor's and/or Master's degree with a focus in Data Science, Computer Science, Computer Engineering, Software development, or other IT related field.
Knowledge and Skills:
- Basic knowledge of data science methodologies.
- Basic understanding of business requirements and data science objectives.
- Basic data mapping, data transfer and data migration skills. Basic understanding of analytics software (eg. R, SAS, SPSS, Python).
- Basic knowledge of machine learning, data integration, and modeling skills and ETL tools (eg. Informatica, Ab Initio, Talend).
- Basic communication and presentation skills.
- Basic data knowledge of relevant data programming languages.
- Basic knowledge of data visualization techniques.
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.
Let's Stay Connected:
Follow @HPECareers on Instagram to see the latest on people, culture and tech at HPE.
Job:
Engineering
Job Level:
N/A
For the Analyst position: "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: Hourly Salary USD 35.00 - 40.25 in Colorado // 35.00 - 40.25 in Massachusetts // 35.00 - 40.25 in California // 35.00 - 40.25 in Minnesota & North Carolina & Texas & Wisconsin
The listed salary range reflects base salary. Variable incentives may also be offered."
For the Scientist position: "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: Hourly Salary USD 40.00 - 46.00 in Colorado // 40.00 - 46.00 in Massachusetts // 40.00 - 46.00 in California // 40.00 - 46.00 in Minnesota & North Carolina & Texas & Wisconsin
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
The estimated job application period closure is May 25 2027; this timeline is provided for transparency and internal planning purposes.
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.
Recruitment Fraud Alert
We have become aware of an increase in fraudulent recruitment activities in which individuals impersonate our company or authorized recruitment agencies to offer fake employment opportunities. These scams may occur through false websites, emails, social media, or chat-based applications and often aim to obtain personal information or money. Please note that Hewlett Packard Enterprise (HPE), its direct and indirect subsidiaries and affiliated companies, and its authorized recruitment agencies/vendors will never charge a candidate a registration fee, hiring fee, or any other fee in connection with its recruitment and hiring process. We also never request personal information such as back account details, Social Security numbers, or national IDs via social media or chat applications.
All legitimate job opportunities will come through official company channels, and candidates are responsible for verifying the credentials of any third party claiming to represent the company. Any reliance on fraudulent communication is at the individual’s own risk, and HPE disclaims legal liability for any resulting damages. If you suspect recruitment fraud, do not share personal information or make any payments and report the incident to your local authorities immediately.
See all 5,965+ 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 Visa Sponsorship as a Data Engineer
Leverage data engineering's strong specialty occupation fit
Data engineering roles require deep knowledge of distributed systems, database architecture, and programming - a clear match for H-1B specialty occupation requirements. Job descriptions for this role rarely face the ambiguity challenges that more general analyst titles do.
Earn cloud data platform certifications
Snowflake SnowPro Core, Databricks Certified Data Engineer, and AWS Data Analytics Specialty certifications validate your expertise. They signal to employers that you can hit the ground running on their data stack.
Target companies building modern data platforms
Every company with significant data needs pipeline engineers. Snowflake, Databricks, dbt Labs, and Confluent are building the data tools themselves and sponsor H-1B petitions for engineers who understand the technology deeply.
Use STEM OPT to master your company's data stack
A STEM-eligible degree gives you up to 3 years of work authorization through OPT. Data pipelines are complex and company-specific - employers are more likely to sponsor someone who already knows their Airflow DAGs and Spark jobs.
Highlight the engineering depth of your role
Data engineering sits firmly on the software engineering side of the data spectrum. Emphasize skills in Spark, Airflow, dbt, and cloud infrastructure to distinguish your role from more general data positions when filing under SOC 15-1252.
Explore cap-exempt data infrastructure roles
University research computing teams and national labs process massive datasets and need data engineers to build the pipelines. These positions are H-1B cap-exempt - no lottery required and filing is open year-round.
Frequently Asked Questions
Is it easier to get visa sponsorship as a data engineer compared to a data scientist?
Data engineers and data scientists have comparable sponsorship strength, but the pathways differ slightly. Data engineer roles are closer to software engineering in scope, which gives them strong specialty occupation standing with USCIS. Data scientist roles often require advanced degrees, which provides an advantage through the H-1B visa master's cap exemption. Both are highly sponsorable, but data engineers may have an edge at companies with larger infrastructure needs.
Do cloud certifications like AWS or GCP help with H-1B approval for data engineers?
Cloud certifications do not directly affect H-1B approval, as the visa requires a bachelor's degree rather than certifications. However, they strengthen the overall petition by providing additional evidence that the role demands specialized technical knowledge. They also make you more competitive in the hiring process, which indirectly improves sponsorship chances by demonstrating alignment between your skills and the position's requirements.
Which industries sponsor data engineers most actively?
Technology companies are the largest sponsors, but financial services, healthcare, and e-commerce are close behind. Any company investing heavily in real-time analytics, data lakes, or ML infrastructure needs data engineers to build and maintain that foundation. Fintech companies and large banks are particularly active sponsors because their data pipelines are business-critical and require specialized expertise in distributed systems and regulatory data handling.
Do data engineers need a computer science degree specifically for visa sponsorship?
A computer science degree is the most common path, but degrees in information systems, software engineering, mathematics, or electrical engineering also qualify. The key is that the employer's job description lists your degree field among the qualifying fields for the position. USCIS evaluates whether your specific degree relates to the job duties, so a degree in statistics or applied math combined with strong technical experience in data pipeline development can work well.
How to find Data Engineer jobs with visa sponsorship?
To find Data Engineer jobs with visa sponsorship, use Migrate Mate, which specializes in connecting international talent with sponsoring employers. Focus on tech companies, financial institutions, and healthcare organizations that commonly sponsor H-1B, O-1 visa, and TN visas for data professionals. These industries actively recruit Data Engineers and have established visa sponsorship programs to secure skilled talent.
What technical skills should I highlight in a data engineer visa petition?
Proficiency in SQL, Python, and distributed computing frameworks like Spark or Kafka are foundational. Experience with cloud data platforms (AWS Redshift, Google BigQuery, Snowflake) and data orchestration tools (Airflow, dbt, Dagster) demonstrates the specialized technical depth USCIS looks for. Listing these specific technologies in the petition documentation helps distinguish the role from general software development and strengthens the specialty occupation case.
What is the prevailing wage requirement for sponsored Data Engineer jobs?
When a U.S. employer sponsors a foreign worker for a work visa, they are legally required to pay at least the "prevailing wage", the average wage paid to workers in the same occupation, in the same geographic area, with similar experience. This is set by the Department of Labor to prevent employers from hiring foreign workers at below-market rates. The prevailing wage varies significantly by role, location, and experience level. For example, a data engineer in California will have a different prevailing wage than the same role in a smaller state. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search Page.