H-1B Visa Data Science Engineer Jobs
Data Science Engineer roles sit squarely within H-1B visa specialty occupation requirements, combining statistical modeling, machine learning, and software engineering under a single job title. Most sponsors file in the April lottery window, though cap-exempt employers at universities and nonprofits hire year-round. Your degree field and job duties must align for the LCA to hold.
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Get Access To All JobsINTRODUCTION
Our company Changing the world through digital experiences is what Adobe’s all about. We give everyone—from emerging artists to global brands—everything they need to build and deliver outstanding digital experiences! We’re passionate about empowering people to build beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen. We’re on a mission to hire the very best. We are committed to crafting outstanding employee experiences where everyone is respected and has equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours.
ROLE
Apply your expertise in data engineering to drive the next stage of growth at Adobe. The AUP team is passionate about delivering optimized experiences through personalization. This role will drive data engineering for large-scale data science initiatives across a wide variety of strategic projects. As a member of the Data Engineering team, you will have significant responsibility to help build large scale cloud-based data and analytics platform with enterprise-wide consumers. This role is inherently multi-functional, and the ideal candidate will work across teams. The position requires ability to own things, come up with innovative solutions, try new tools and technologies.
Responsibilities
- Build fault tolerant, scalable, quality data pipelines using multiple cloud-based tools.
- Build analytical, personalization capabilities using modern and brand new technologies employing Adobe tools like AEP, AJO and CJA.
- Build LLM agents to optimize and automate data pipelines following best engineering practices.
- Deliver End to End Data Pipelines to run Machine Learning Models in a production platform.
- Innovative solutions to help broader organization take significant actions fast and efficiently.
- Chip in to data engineering and data science frameworks, tools, and processes.
- Implement outstanding data operations and implement standard methodologies to use resources in an optimum way.
- Architect data ingestion, data transformation, data consumption, data governance frameworks.
- Help build production grade ML models and integration with operational systems.
- Work in a collaborative environment and contribute to the team as well as organization’s success.
BASIC QUALIFICATIONS
- Master’s degree or equivalent experience is preferred.
- 8+ years of consistent track record as a data engineer.
- 5+ years validated ability in distributed data technologies e.g., Hadoop, Hive, Presto, Spark etc.
- 3+ years of experience with Cloud based technologies – Databricks, S3, Azure Blob Storage, Notebooks, AWS EMR, Athena, Glue etc. Familiarity and usage of different file formats in batch/streaming processing i.e., Delta/Parquet/ORC etc.
- 2+ years’ experience with streaming data ingestion and transformation using Kafka, Kinesis etc.
- Outstanding SQL experience. Ability to write optimized SQLs across platforms.
- Proven hands-on experience in Python/PySpark/Scala and ability to manipulate data using Pandas, NumPy, Koalas etc. and using APIs to transfer data.
- Experience with CI/CD tools i.e., GitHub, Jenkins etc.
- Working experience with Open-source orchestration tools i.e., Apache Air Flow/ Azkaban etc.
- Teammate with excellent communication/teamwork skills when it comes to closely working with data scientists and machine learning engineers daily.
PREFERRED QUALIFICATIONS
- Showcase your work if you are an open-source contributor. Passion to contribute to Open-source community is highly valued.
- Experience with Data Governance tools e.g., Collibra and Collaboration tools e.g., JIRA/ Confluence etc.
- Familiarity with Adobe solutions such as Adobe Experience Platform, Adobe Analytics, Customer Journey Analytics, and Adobe Journey Optimizer is a plus.
- Experience with LLM Models/ Agentic workflows using Copilot, Claude, LLAMA, Databricks Genie etc. is highly preferred. Skills in building context and prompt engineering solutions including classical RAG, Knowledge graph, MCPs, Agentic frameworks like n8n, etc. are highly desirable.
ABOUT ADOBE
Adobe empowers everyone to create through innovative platforms and tools that unleash creativity, productivity and personalized customer experiences. Adobe’s industry-leading offerings including Adobe Acrobat Studio, Adobe Express, Adobe Firefly, Creative Cloud, Adobe Experience Platform, Adobe Experience Manager, and GenStudio enable people and businesses to turn ideas into impact, powered by AI and driven by human ingenuity. Our 30,000+ employees worldwide are creating the future and raising the bar as we drive the next decade of growth. We’re on a mission to hire the very best and believe in creating a company culture where all employees are empowered to make an impact. At Adobe, we believe that great ideas can come from anywhere in the organization. The next big idea could be yours.
LET’S ADOBE TOGETHER
At Adobe, we believe in creating a company culture where all employees are empowered to make an impact. Learn more about Adobe life, including our values and culture, focus on people, purpose and community, Adobe for All, comprehensive benefits programs, the stories we tell, the customers we serve, and how you can help us advance our mission of empowering everyone to create.
Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other protected characteristic. Learn more. Adobe aims to make our Careers website and recruiting process accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call +1 408-536-3015.
AI USE GUIDELINES FOR INTERVIEWS:
Our interviews are designed to reflect your own skills and thinking. The use of AI or recording tools during live interviews is not permitted unless explicitly invited by the interviewer or approved in advance as part of a reasonable accommodation. If these tools are used inappropriately or in a way that misrepresents your work, your application may not move forward in the process. At Adobe, we empower employees to innovate with AI — and we look for candidates eager to do the same. As part of the hiring experience, we provide clear guidance on where AI is encouraged during the process and where it’s restricted during live interviews. See how we think about AI in the hiring experience.
EXPECTED PAY RANGE
Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this position is $109,000 -- $200,700 annually. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process. In California, the pay range for this position is $138,600 - $200,700. At Adobe, for sales roles starting salaries are expressed as total target compensation (TTC = base + commission), and short-term incentives are in the form of sales commission plans. Non-sales roles starting salaries are expressed as base salary and short-term incentives are in the form of the Annual Incentive Plan (AIP). In addition, certain roles may be eligible for long-term incentives in the form of a new hire equity award.
STATE-SPECIFIC NOTICES
California: Fair Chance Ordinances Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and “fair chance” ordinances.
Colorado: Application Window Notice If this role is open to hiring in Colorado (as listed on the job posting), the application window will remain open until at least the date and time stated above in Pacific Time, in compliance with Colorado pay transparency regulations. If this role does not have Colorado listed as a hiring location, no specific application window applies, and the posting may close at any time based on hiring needs.
Massachusetts: Massachusetts Legal Notice It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
INTRODUCTION
Our company Changing the world through digital experiences is what Adobe’s all about. We give everyone—from emerging artists to global brands—everything they need to build and deliver outstanding digital experiences! We’re passionate about empowering people to build beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen. We’re on a mission to hire the very best. We are committed to crafting outstanding employee experiences where everyone is respected and has equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours.
ROLE
Apply your expertise in data engineering to drive the next stage of growth at Adobe. The AUP team is passionate about delivering optimized experiences through personalization. This role will drive data engineering for large-scale data science initiatives across a wide variety of strategic projects. As a member of the Data Engineering team, you will have significant responsibility to help build large scale cloud-based data and analytics platform with enterprise-wide consumers. This role is inherently multi-functional, and the ideal candidate will work across teams. The position requires ability to own things, come up with innovative solutions, try new tools and technologies.
Responsibilities
- Build fault tolerant, scalable, quality data pipelines using multiple cloud-based tools.
- Build analytical, personalization capabilities using modern and brand new technologies employing Adobe tools like AEP, AJO and CJA.
- Build LLM agents to optimize and automate data pipelines following best engineering practices.
- Deliver End to End Data Pipelines to run Machine Learning Models in a production platform.
- Innovative solutions to help broader organization take significant actions fast and efficiently.
- Chip in to data engineering and data science frameworks, tools, and processes.
- Implement outstanding data operations and implement standard methodologies to use resources in an optimum way.
- Architect data ingestion, data transformation, data consumption, data governance frameworks.
- Help build production grade ML models and integration with operational systems.
- Work in a collaborative environment and contribute to the team as well as organization’s success.
BASIC QUALIFICATIONS
- Master’s degree or equivalent experience is preferred.
- 8+ years of consistent track record as a data engineer.
- 5+ years validated ability in distributed data technologies e.g., Hadoop, Hive, Presto, Spark etc.
- 3+ years of experience with Cloud based technologies – Databricks, S3, Azure Blob Storage, Notebooks, AWS EMR, Athena, Glue etc. Familiarity and usage of different file formats in batch/streaming processing i.e., Delta/Parquet/ORC etc.
- 2+ years’ experience with streaming data ingestion and transformation using Kafka, Kinesis etc.
- Outstanding SQL experience. Ability to write optimized SQLs across platforms.
- Proven hands-on experience in Python/PySpark/Scala and ability to manipulate data using Pandas, NumPy, Koalas etc. and using APIs to transfer data.
- Experience with CI/CD tools i.e., GitHub, Jenkins etc.
- Working experience with Open-source orchestration tools i.e., Apache Air Flow/ Azkaban etc.
- Teammate with excellent communication/teamwork skills when it comes to closely working with data scientists and machine learning engineers daily.
PREFERRED QUALIFICATIONS
- Showcase your work if you are an open-source contributor. Passion to contribute to Open-source community is highly valued.
- Experience with Data Governance tools e.g., Collibra and Collaboration tools e.g., JIRA/ Confluence etc.
- Familiarity with Adobe solutions such as Adobe Experience Platform, Adobe Analytics, Customer Journey Analytics, and Adobe Journey Optimizer is a plus.
- Experience with LLM Models/ Agentic workflows using Copilot, Claude, LLAMA, Databricks Genie etc. is highly preferred. Skills in building context and prompt engineering solutions including classical RAG, Knowledge graph, MCPs, Agentic frameworks like n8n, etc. are highly desirable.
ABOUT ADOBE
Adobe empowers everyone to create through innovative platforms and tools that unleash creativity, productivity and personalized customer experiences. Adobe’s industry-leading offerings including Adobe Acrobat Studio, Adobe Express, Adobe Firefly, Creative Cloud, Adobe Experience Platform, Adobe Experience Manager, and GenStudio enable people and businesses to turn ideas into impact, powered by AI and driven by human ingenuity. Our 30,000+ employees worldwide are creating the future and raising the bar as we drive the next decade of growth. We’re on a mission to hire the very best and believe in creating a company culture where all employees are empowered to make an impact. At Adobe, we believe that great ideas can come from anywhere in the organization. The next big idea could be yours.
LET’S ADOBE TOGETHER
At Adobe, we believe in creating a company culture where all employees are empowered to make an impact. Learn more about Adobe life, including our values and culture, focus on people, purpose and community, Adobe for All, comprehensive benefits programs, the stories we tell, the customers we serve, and how you can help us advance our mission of empowering everyone to create.
Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other protected characteristic. Learn more. Adobe aims to make our Careers website and recruiting process accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call +1 408-536-3015.
AI USE GUIDELINES FOR INTERVIEWS:
Our interviews are designed to reflect your own skills and thinking. The use of AI or recording tools during live interviews is not permitted unless explicitly invited by the interviewer or approved in advance as part of a reasonable accommodation. If these tools are used inappropriately or in a way that misrepresents your work, your application may not move forward in the process. At Adobe, we empower employees to innovate with AI — and we look for candidates eager to do the same. As part of the hiring experience, we provide clear guidance on where AI is encouraged during the process and where it’s restricted during live interviews. See how we think about AI in the hiring experience.
EXPECTED PAY RANGE
Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this position is $109,000 -- $200,700 annually. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process. In California, the pay range for this position is $138,600 - $200,700. At Adobe, for sales roles starting salaries are expressed as total target compensation (TTC = base + commission), and short-term incentives are in the form of sales commission plans. Non-sales roles starting salaries are expressed as base salary and short-term incentives are in the form of the Annual Incentive Plan (AIP). In addition, certain roles may be eligible for long-term incentives in the form of a new hire equity award.
STATE-SPECIFIC NOTICES
California: Fair Chance Ordinances Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and “fair chance” ordinances.
Colorado: Application Window Notice If this role is open to hiring in Colorado (as listed on the job posting), the application window will remain open until at least the date and time stated above in Pacific Time, in compliance with Colorado pay transparency regulations. If this role does not have Colorado listed as a hiring location, no specific application window applies, and the posting may close at any time based on hiring needs.
Massachusetts: Massachusetts Legal Notice It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
See all 11,279+ H-1B Visa Data Science Engineer Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new H-1B Visa Data Science Engineer Jobs.
Get Access To All JobsTips for Finding H-1B Visa Sponsorship as a Data Science Engineer
Align your degree to the role
USCIS scrutinizes whether your degree field directly relates to data science engineering duties. A degree in statistics, computer science, or applied mathematics strengthens your specialty occupation case. Unrelated degrees require detailed documentation showing how coursework maps to the role.
Check the LCA before accepting an offer
Your employer files a Labor Condition Application with DOL before submitting the I-129 petition. Verify the certified LCA lists the correct job title, worksite, and wage level so your H-1B petition matches the actual role you'll perform.
Target cap-exempt employers for year-round hiring
Universities, nonprofit research institutions, and government-affiliated organizations are exempt from the H-1B cap and annual lottery. Data science engineering roles at these employers can be sponsored any time of year, not only after the April registration window.
Use Migrate Mate to find active H-1B sponsors
Filter your job search by employers with verified H-1B LCA filing history for data science roles. Migrate Mate surfaces DOL disclosure data by occupation so you can target companies that have sponsored similar positions, not just those with general sponsorship policies.
Benchmark your wage against the OFLC prevailing level
DOL sets four wage levels for each SOC code and metro area. Data science engineering roles typically file at Level II or III. Use the OFLC Wage Search to confirm your offered salary meets or exceeds the prevailing wage for your specific location before the LCA is submitted.
H-1B Visa Data Science Engineer: Frequently Asked Questions
Does a Data Science Engineer role qualify as a specialty occupation for H-1B purposes?
Yes, provided the position requires at least a bachelor's degree in a directly related field such as computer science, statistics, or data engineering. USCIS looks at whether a theoretical and practical application of a body of specialized knowledge is required. Job descriptions that mix generic software duties with data science responsibilities can trigger a Request for Evidence, so your employer's job description should clearly tie the role's core functions to a specific degree field.
What SOC code is typically used for Data Science Engineer H-1B petitions?
Employers most commonly file under SOC 15-2051 (Data Scientists) or 15-1243 (Database Architects), depending on how the role is defined. Some filings use 15-1252 (Software Developers) when the engineering component is dominant. The SOC code determines the prevailing wage level, so it directly affects the salary your employer must certify on the LCA. You can look up the occupation description and typical requirements on O*NET.
How do I find employers that actively sponsor H-1B visas for Data Science Engineer roles?
Search Migrate Mate to filter for employers with verified H-1B LCA filing history specifically for data science and engineering job titles. DOL publishes quarterly LCA disclosure data, and Migrate Mate maps that data to searchable employer profiles so you can see which companies have sponsored comparable roles rather than relying on self-reported sponsorship policies.
Can I change employers on H-1B if I get a better data science offer mid-status?
Yes. H-1B portability under AC21 lets you start working for a new employer as soon as they file a new I-129 petition on your behalf, as long as your current H-1B has been approved for at least 180 days and the new role is in the same or a similar occupational classification. Your new employer must file before your current H-1B expires to maintain continuous status.
Does working remotely for an H-1B-sponsored data science role create any compliance issues?
Yes. If you work from a location not listed on the certified LCA, your employer may need to file an amended I-129 petition and post the LCA notice at the new worksite. Remote work across multiple states or cities is a known compliance risk because each worksite's prevailing wage must be certified separately. Confirm with your employer's immigration counsel before changing your primary work location.