Data Engineer Jobs at Adobe with Visa Sponsorship
Data Engineer jobs at Adobe involve working 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 JobsINTRODUCTION
In Adobe finance, we strive to introduce the finance of the future! We seek a data scientist to join the Creativity & Productivity finance team to refine and implement ground-breaking, predictive techniques for forecasting customer retention metrics, units, and ARR. This role is fitting for an individual who enjoys working with, cleaning and manipulating large datasets, and can derive insights using statistical and machine learning models. This position maintains lots of exposure to cross functional organizations and access to senior management.
ROLE AND RESPONSIBILITIES
A Finance Data Scientist within Adobe’s Creativity & Productivity FP&A (Financial Planning and Analysis) team partners with finance and business stakeholders to understand, and then develop and enhance the existing or proposed forecasting process, optimizing and refining by leveraging automation and AI/ML techniques.
This role has the opportunity to present and showcase findings and improvements to senior leadership, which is unique for this type of role in finance organizations.
In our team, we’re committed to delivering actionable insights in a manner that is accurate and efficient. This role represents an end-to-end data scientist involved in every facet of every project such as data cleaning, predictive modeling, and storytelling. The typical day involves the following activities:
- Drive data science modeling initiatives for forecasting and analysis
- Automate, enhance, and maintain analytic applications and data structures used for modeling and forecasting
- Monitor weekly performance, understand the root causes of changes in metrics, and continually keep an eye on how to continuously “Create the Future” and further enhance forecast algorithms
- Work with the PowerBI team to deliver requirements to create and maintain dashboards tracking key indicators
- Partner with Finance and other teams to build data science models to solve a wide breadth of business challenges
- Analyze business or financial data to provide insights to the finance leadership team on process & system automation opportunities
- Analyze data to identify or resolve operational problems to create processes to reverse engineer existing data flows and source-to-target mappings and work with data engineering teams to implement changes
- Prepare analytical reports to document financial models and data processes
- Demonstrate strong intellectual curiosity towards enhancing current methodologies and processes
- Capture, synthesize, and interpret disparate quantitative data within the context of business objectives, identify trends, and explore data through segments and cohorts
- Be a change agent, ensuring users adopt new and innovative technologies
BASIC QUALIFICATIONS
- Strong proficiency in SQL and Python; R is a plus
- Experience in data cloud platform (e.g. Databricks, AWS, Snowflake)
- Understanding of machine learning techniques, specifically involving supervised learning applied to time-series analysis
- Proficiency with data visualization tools (e.g. Power BI, Tableau)
- Experience exploring large amounts of information, extracting insights, and achieving real-world results
- Ability to dig-in, understand the data, and to use creative thinking and problem-solving skills are musts
- History of deriving and communicating actionable insights from analysis projects to product and/or business leaders
- Degree in a quantitative field like statistics, economics, applied math, operations research or engineering preferred, or related work experience
- Knowledge of Microsoft Office, specifically Power Query, M/DAX is a plus
- Understanding of Version Control frameworks such as GitHub is a plus
- Knowledge of customer cancellation forecasting and cohort retention is a plus
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.
COMPENSATION
- 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 $133,100 - $236,400 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 $163,200 - $236,400
In Washington, the pay range for this position is $157,900 - $228,575
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.
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.
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
In Adobe finance, we strive to introduce the finance of the future! We seek a data scientist to join the Creativity & Productivity finance team to refine and implement ground-breaking, predictive techniques for forecasting customer retention metrics, units, and ARR. This role is fitting for an individual who enjoys working with, cleaning and manipulating large datasets, and can derive insights using statistical and machine learning models. This position maintains lots of exposure to cross functional organizations and access to senior management.
ROLE AND RESPONSIBILITIES
A Finance Data Scientist within Adobe’s Creativity & Productivity FP&A (Financial Planning and Analysis) team partners with finance and business stakeholders to understand, and then develop and enhance the existing or proposed forecasting process, optimizing and refining by leveraging automation and AI/ML techniques.
This role has the opportunity to present and showcase findings and improvements to senior leadership, which is unique for this type of role in finance organizations.
In our team, we’re committed to delivering actionable insights in a manner that is accurate and efficient. This role represents an end-to-end data scientist involved in every facet of every project such as data cleaning, predictive modeling, and storytelling. The typical day involves the following activities:
- Drive data science modeling initiatives for forecasting and analysis
- Automate, enhance, and maintain analytic applications and data structures used for modeling and forecasting
- Monitor weekly performance, understand the root causes of changes in metrics, and continually keep an eye on how to continuously “Create the Future” and further enhance forecast algorithms
- Work with the PowerBI team to deliver requirements to create and maintain dashboards tracking key indicators
- Partner with Finance and other teams to build data science models to solve a wide breadth of business challenges
- Analyze business or financial data to provide insights to the finance leadership team on process & system automation opportunities
- Analyze data to identify or resolve operational problems to create processes to reverse engineer existing data flows and source-to-target mappings and work with data engineering teams to implement changes
- Prepare analytical reports to document financial models and data processes
- Demonstrate strong intellectual curiosity towards enhancing current methodologies and processes
- Capture, synthesize, and interpret disparate quantitative data within the context of business objectives, identify trends, and explore data through segments and cohorts
- Be a change agent, ensuring users adopt new and innovative technologies
BASIC QUALIFICATIONS
- Strong proficiency in SQL and Python; R is a plus
- Experience in data cloud platform (e.g. Databricks, AWS, Snowflake)
- Understanding of machine learning techniques, specifically involving supervised learning applied to time-series analysis
- Proficiency with data visualization tools (e.g. Power BI, Tableau)
- Experience exploring large amounts of information, extracting insights, and achieving real-world results
- Ability to dig-in, understand the data, and to use creative thinking and problem-solving skills are musts
- History of deriving and communicating actionable insights from analysis projects to product and/or business leaders
- Degree in a quantitative field like statistics, economics, applied math, operations research or engineering preferred, or related work experience
- Knowledge of Microsoft Office, specifically Power Query, M/DAX is a plus
- Understanding of Version Control frameworks such as GitHub is a plus
- Knowledge of customer cancellation forecasting and cohort retention is a plus
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.
COMPENSATION
- 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 $133,100 - $236,400 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 $163,200 - $236,400
In Washington, the pay range for this position is $157,900 - $228,575
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.
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.
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 Data Engineer Jobs at Adobe
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Data Engineer Jobs at Adobe.
Get Access To All JobsTips for Finding Data Engineer Jobs at Adobe
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.
Frequently 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 visa, TN visa, 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 visa category, which has no lottery and a much faster timeline. Canadian and Mexican nationals in qualifying engineering roles can explore TN visa 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.