Senior Data Science Engineer Jobs at Adobe with Visa Sponsorship
Senior Data Science Engineer roles at Adobe sit at the intersection of large-scale machine learning infrastructure and creative product intelligence. Adobe has a consistent track record of sponsoring work visas for technical roles at this level, making it a realistic target if you're building a U.S. career in data science.
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The Opportunity
Adobe is looking for a Senior Data Engineer - Data Products & AI to join our Adobe Unified Platform team, where you will play a key role in advancing data engineering, data warehousing, and AI innovation. This position offers the chance to collaborate with multi-functional teams, including Solution Architects, Product Managers, and engineers across global locations, to deliver impactful solutions aligned with Adobe’s strategic goals. We are seeking a driven individual who thrives on solving complex challenges, mentoring peers, and pushing the boundaries of technology to shape the future of Adobe’s data and AI capabilities.
- Build data products that are optimized for both human and AI consumption, ensuring seamless usability, accessibility, and integration across diverse workflows.
- Drive the implementation of innovative data warehousing strategies, ensuring efficient data storage, retrieval, and transformation processes.
- Architect and optimize scalable data pipelines and models to handle the exponential growth of data and analytics needs.
- Lead the design and development of robust software solutions, ensuring high-quality code, thorough testing, and comprehensive documentation.
- Spearhead initiatives to enhance developer productivity and streamline engineering workflows through innovative automation and AI-powered solutions.
What You Need To Succeed
- A Bachelor’s degree in Computer Science, Engineering, or a related field, with 10+ years of experience in data engineering and software development.
- Proven expertise in designing and deploying scalable data solutions using SQL and Python, with a focus on automation, data transformation, and advanced analytics.
- In-depth knowledge of data architecture, including data modeling, warehousing principles, and the development of efficient data transformation pipelines.
- Extensive experience with modern data platforms and tools, particularly Databricks, Azure, and Airflow, with a demonstrated ability to harness their full capabilities.
- Exceptional problem-solving skills, a critical perspective, and the ability to challenge conventional approaches to drive innovation.
- Ability to quickly acquire new skills and apply them to solve challenging problems.
- Experience using AI tools (e.g. Cursor) to more efficiently build production-worthy applications and data pipelines.
- Knowledge of standard engineering productivity tools such as GitHub, JIRA, Confluence, etc.
- Experience building conversational and workflow automation AI agents in production environments.
- Outstanding communication and collaboration skills, with a passion for mentoring and fostering a culture of creativity and excellence.
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 $159,200 - $301,600 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. 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.

The Opportunity
Adobe is looking for a Senior Data Engineer - Data Products & AI to join our Adobe Unified Platform team, where you will play a key role in advancing data engineering, data warehousing, and AI innovation. This position offers the chance to collaborate with multi-functional teams, including Solution Architects, Product Managers, and engineers across global locations, to deliver impactful solutions aligned with Adobe’s strategic goals. We are seeking a driven individual who thrives on solving complex challenges, mentoring peers, and pushing the boundaries of technology to shape the future of Adobe’s data and AI capabilities.
- Build data products that are optimized for both human and AI consumption, ensuring seamless usability, accessibility, and integration across diverse workflows.
- Drive the implementation of innovative data warehousing strategies, ensuring efficient data storage, retrieval, and transformation processes.
- Architect and optimize scalable data pipelines and models to handle the exponential growth of data and analytics needs.
- Lead the design and development of robust software solutions, ensuring high-quality code, thorough testing, and comprehensive documentation.
- Spearhead initiatives to enhance developer productivity and streamline engineering workflows through innovative automation and AI-powered solutions.
What You Need To Succeed
- A Bachelor’s degree in Computer Science, Engineering, or a related field, with 10+ years of experience in data engineering and software development.
- Proven expertise in designing and deploying scalable data solutions using SQL and Python, with a focus on automation, data transformation, and advanced analytics.
- In-depth knowledge of data architecture, including data modeling, warehousing principles, and the development of efficient data transformation pipelines.
- Extensive experience with modern data platforms and tools, particularly Databricks, Azure, and Airflow, with a demonstrated ability to harness their full capabilities.
- Exceptional problem-solving skills, a critical perspective, and the ability to challenge conventional approaches to drive innovation.
- Ability to quickly acquire new skills and apply them to solve challenging problems.
- Experience using AI tools (e.g. Cursor) to more efficiently build production-worthy applications and data pipelines.
- Knowledge of standard engineering productivity tools such as GitHub, JIRA, Confluence, etc.
- Experience building conversational and workflow automation AI agents in production environments.
- Outstanding communication and collaboration skills, with a passion for mentoring and fostering a culture of creativity and excellence.
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 $159,200 - $301,600 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. 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 40+ Senior Data Science Engineer at Adobe jobs
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Get Access To All JobsTips for Finding Senior Data Science Engineer Jobs at Adobe Jobs
Tailor your portfolio to Adobe's product ecosystem
Adobe hires Senior Data Science Engineers to work on products like Firefly, Sensei, and Experience Cloud. Frame your portfolio around recommendation systems, generative AI, or behavioral analytics to align with the applied ML work these teams actually do.
Verify your degree qualifies as a specialty occupation
USCIS requires H-1B roles to qualify as specialty occupations. For Senior Data Science Engineer positions, a bachelor's degree or higher in computer science, statistics, or a directly related field is the clearest path. A general or unrelated degree will create friction in the petition.
Target Adobe's teams hiring across multiple visa types
Adobe sponsors H-1B, E-3, TN, and F-1 OPT for Senior Data Science Engineer roles, which means your visa category shouldn't disqualify you before the conversation starts. Filter specifically for senior-level data science openings to avoid roles that may not clear USCIS's experience threshold.
Use Migrate Mate to find open Senior Data Science Engineer roles
Adobe posts Senior Data Science Engineer openings across multiple teams and locations. Use Migrate Mate to browse current listings filtered by visa type so you're only applying to roles where sponsorship is confirmed, not assumed.
Prepare for Adobe's technical process before the offer stage
Adobe's interview loop for Senior Data Science Engineers typically includes system design, ML depth, and a business case component. Demonstrating production-scale modeling experience, not just research, signals the seniority level that justifies a sponsored petition with DOL prevailing wage compliance.
Senior Data Science Engineer at Adobe jobs are hiring across the US. Find yours.
Find Senior Data Science Engineer at Adobe JobsFrequently Asked Questions
Does Adobe sponsor H-1B visas for Senior Data Science Engineers?
Yes, Adobe sponsors H-1B visas for Senior Data Science Engineer roles. Adobe participates in the annual H-1B cap lottery each April and also files cap-exempt petitions where eligible. If you're already in H-1B status with another employer, Adobe can file an H-1B transfer so you can start without waiting for a new cap cycle.
Which visa types does Adobe commonly sponsor for Senior Data Science Engineer roles?
Adobe sponsors H-1B, E-3, TN, F-1 OPT, F-1 CPT, J-1, and Green Card pathways including EB-2 and EB-3 for Senior Data Science Engineer positions. Australian citizens should ask specifically about the E-3, which has no lottery and a faster processing timeline. Canadian and Mexican nationals may qualify for TN status, which can be obtained at the border.
What qualifications does Adobe expect for a Senior Data Science Engineer?
Adobe typically expects a master's or Ph.D. in computer science, statistics, or a related quantitative field, along with hands-on experience building and deploying ML models at scale. Proficiency in Python, deep learning frameworks, and experience with large-scale data pipelines are consistently required. Domain experience in personalization, computer vision, or NLP aligns well with Adobe's product priorities.
How do I apply for Senior Data Science Engineer jobs at Adobe?
You can browse Senior Data Science Engineer openings on Adobe's careers site or use Migrate Mate to filter specifically for Adobe roles that include visa sponsorship. When applying, tailor your resume to reflect production ML systems and measurable business impact. Adobe's hiring process for this level typically includes a recruiter screen, technical assessments, and a multi-round virtual interview loop.
How do I time my application if my OPT or visa status is expiring soon?
Apply as early as possible. If you're on F-1 OPT, confirm whether you qualify for a 24-month STEM OPT extension, which gives Adobe more runway to complete the H-1B process. USCIS premium processing can reduce the I-129 adjudication window to roughly 15 business days, which matters if your current status has a hard end date.
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