Data Science Engineer Jobs in USA with Visa Sponsorship
Data Science Engineer roles are among the most actively sponsored positions in the U.S., with employers regularly filing H-1B visa and O-1 visa petitions for qualified candidates. Most positions require a master's degree in a quantitative field, and specialty occupation approval rates are high given the degree-specific nature of the work. For detailed occupation requirements, see the O*NET profile.
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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 12,412+ Data Science Engineer Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Data Science Engineer roles.
Get Access To All JobsTips for Finding Visa Sponsorship as a Data Science Engineer
Target companies with a proven H-1B filing history
Large tech employers and data-driven firms file hundreds of H-1B petitions annually for data science roles. Focusing your search on companies with consistent filing histories significantly improves your odds of securing sponsorship without resistance.
Lead with your quantitative degree when applying
USCIS grants H-1B specialty occupation status most readily when your degree field directly matches the role. A degree in statistics, computer science, or applied mathematics strengthens your petition before it even reaches an adjudicator's desk.
Frame your experience around specific technical domains
Employers sponsoring Data Science Engineers want candidates with depth in machine learning, NLP, or data pipeline engineering, not generalists. Tailoring your resume to a specific technical domain makes the specialty occupation argument in your petition far more defensible.
Understand the H-1B lottery timing before accepting an offer
H-1B registrations open in March for an October 1 start date. If you receive an offer outside that window, ask your employer about cap-exempt options or whether they can structure a start date around the next lottery cycle.
Ask about O-1A eligibility if you have a strong research profile
Data Science Engineers with published research, conference presentations, or high citation counts may qualify for the O-1A visa, which bypasses the H-1B lottery entirely. It's worth discussing with an immigration attorney before defaulting to H-1B.
Use Migrate Mate to find roles explicitly open to sponsorship
Many job postings don't advertise sponsorship availability, making it hard to know where to apply. Migrate Mate filters for employers actively willing to sponsor, so you're not wasting applications on companies that won't support your visa.
Frequently Asked Questions
Do Data Science Engineer roles qualify for H-1B sponsorship?
Yes, Data Science Engineer is a strong fit for H-1B visa specialty occupation classification. USCIS consistently approves petitions for this title when the employer can demonstrate the role requires a bachelor's degree or higher in a specific field such as statistics, computer science, or data science. Approval rates for data-focused engineering roles are among the highest across technical occupations.
What degree do I need for a Data Science Engineer visa sponsorship?
Most employers sponsoring Data Science Engineers require at least a bachelor's degree in computer science, statistics, mathematics, or a closely related quantitative field. A master's degree is increasingly common at larger tech firms and substantially strengthens the specialty occupation argument in your H-1B petition. Degrees in unrelated fields, even with strong work experience, can complicate approval.
Can I get sponsored as a Data Science Engineer without winning the H-1B lottery?
There are a few paths. If you're currently on OPT or STEM OPT, your employer can employ you while registrations and petitions are processed. Some employers are cap-exempt, meaning they can file H-1B petitions year-round without lottery participation. Data Science Engineers with exceptional research records may also qualify for the O-1A, which has no cap or lottery requirement.
Are smaller startups likely to sponsor Data Science Engineers?
Some do, but the willingness varies significantly. Early-stage startups often lack the legal infrastructure for H-1B sponsorship, while Series B and later-stage companies with established HR functions are more likely to support it. The most reliable approach is filtering specifically for sponsorship-willing employers. Migrate Mate is built for exactly this, showing you data science roles where employers have indicated openness to sponsoring candidates.
Does a three-year bachelor's degree qualify for Data Science Engineer sponsorship?
It depends on the evaluation. USCIS requires a U.S.-equivalent four-year bachelor's degree for H-1B specialty occupation. A three-year degree from Australia, India, or the UK may qualify if a credential evaluation agency concludes it's equivalent, often when combined with relevant postgraduate study or significant professional experience. An immigration attorney can advise whether your specific degree and experience combination is strong enough to support a petition.
What is the prevailing wage requirement for sponsored Data Science Engineer jobs?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.