Data Engineer Jobs at Adobe with Visa Sponsorship
Adobe's Data Engineering teams work across Experience Cloud, Analytics, and AI-driven product infrastructure, building pipelines that power some of the most widely used creative and marketing platforms in the world. Adobe sponsors multiple visa types for this function and has a strong track record of supporting international engineers through the full immigration process.
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Get Access To All JobsThe 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.
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Get Access To All JobsTips for Finding Data Engineer Jobs at Adobe Jobs
Align your portfolio to Adobe's data stack
Adobe's Data Engineer roles consistently surface requirements around Apache Spark, Kafka, and cloud-native pipelines on AWS or Azure. Tailor your GitHub projects and resume to reflect these tools before applying, so your technical profile maps directly to their job descriptions.
Target roles inside Experience Cloud product teams
Adobe's Experience Cloud division runs large-scale data infrastructure for enterprise clients. Roles embedded in product teams there tend to have established sponsorship workflows, meaning hiring managers are already familiar with the immigration process and less likely to hesitate on international candidates.
Request LCA filing details before signing an offer
Before accepting any offer, ask your recruiter which prevailing wage level DOL certified for the role. Adobe files Labor Condition Applications by job title and location, so the wage level on your LCA directly determines whether your offer is compliant and defensible at the USCIS petition stage.
Plan OPT CPT timelines around Adobe's hiring cycles
Adobe recruits Data Engineers heavily in Q1 and Q3. If you're on F-1 OPT, map your authorization end date against those windows. A start date that leaves fewer than six months on OPT can complicate H-1B cap-gap planning and may give risk-averse hiring teams pause.
Use Migrate Mate to filter Adobe Data Engineer openings by visa type
Adobe posts Data Engineer roles across multiple teams and locations, and not every listing clearly signals sponsorship eligibility. Use Migrate Mate to filter open positions by visa category so you're only spending time on roles where your specific authorization is already confirmed.
Prepare credential documentation for specialty occupation review
USCIS scrutinizes H-1B petitions for data roles when the degree field is adjacent rather than directly aligned. If your degree is in statistics, physics, or a related field rather than computer science, gather course transcripts and a credential evaluation early to support the specialty occupation argument.
Data Engineer at Adobe jobs are hiring across the US. Find yours.
Find Data Engineer at Adobe JobsFrequently Asked Questions
Does Adobe sponsor H-1B visas for Data Engineers?
Yes, Adobe sponsors H-1B visas for Data Engineer roles. Adobe participates in the annual H-1B cap lottery for new applicants and also files H-1B transfers for engineers already holding the status with another employer. If you're mid-lottery cycle, ask your recruiter whether the role qualifies for a cap-exempt filing through an affiliated research institution, which some Adobe teams have used in the past.
How do I apply for Data Engineer jobs at Adobe?
Apply directly through Adobe's careers portal and filter by engineering or data roles. Tailor your resume to the specific team's stack, since Adobe's Data Engineer openings vary significantly between Analytics, Experience Cloud, and Advertising Cloud divisions. You can also browse verified sponsorship-confirmed openings through Migrate Mate, which surfaces Adobe Data Engineer roles filtered by visa type so you're not guessing about eligibility.
Which visa types does Adobe commonly use for Data Engineer roles?
Adobe sponsors H-1B, E-3, TN, F-1 OPT, F-1 CPT, and J-1 visas for Data Engineer positions, along with immigrant pathways including EB-2 and EB-3. Australian citizens are well-positioned through the E-3 category, which has no lottery and a much faster timeline. Canadian and Mexican nationals in qualifying engineering roles can explore TN status, which can be arranged at the border without a lengthy USCIS petition.
What qualifications does Adobe expect for Data Engineer roles?
Adobe's Data Engineer postings typically require a bachelor's or master's degree in computer science, data engineering, or a closely related field. Hands-on experience with distributed processing frameworks like Apache Spark, workflow orchestration tools like Apache Airflow, and cloud platforms is consistently expected. For H-1B purposes, your degree field needs to align specifically with the role's duties, so a general business or management degree without a technical specialization may not satisfy USCIS specialty occupation requirements.
How do I time my H-1B application if I receive an offer from Adobe?
H-1B cap registrations open each March for an October 1 start date. If Adobe extends an offer outside that window, you'd typically start on F-1 OPT or another authorized status and transition to H-1B the following fiscal year. Adobe's immigration team coordinates with external counsel, so once you're past the offer stage, they'll guide the LCA and I-129 filing timeline. Build in at least six months between your offer and intended H-1B start date if you're counting on cap-subject filing.
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