Data Analytics Engineer Jobs at Adobe with Visa Sponsorship
Data Analytics Engineer jobs at Adobe sit at the intersection of product analytics, data infrastructure, and business intelligence, supporting teams across Creative Cloud, Document Cloud, and Experience Cloud. Adobe has a consistent track record of sponsoring international talent for this function across multiple visa categories.
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Get Access To All JobsINTRODUCTION
The world of design is changing rapidly and the Pro Design team is leading that transformation. We are the Adobe organization behind Illustrator, InDesign, and emerging experiences that connect creativity, collaboration, and AI. Our teams are reimagining what professional design looks like for the next decade - building intelligent, connected tools that empower creators and teams to move faster without sacrificing craft.
We are looking for a Senior Data Engineer who will build a strong and scalable foundation to support it. Join us and build Adobe’s future products!
ROLE AND RESPONSIBILITIES
Build, scale and optimize the data architecture and ETL/pipeline on Databricks across Pro Design products, spanning shared platform data and in-app usage telemetry.
Partner with Product, Engineering, and Data Science to define and implement data logging and instrumentation that enables product experimentation, AI/ML features, and analytics.
Set and evolve governance standards regarding data quality, privacy, security, lineage, and SLAs in Unity Catalog.
Build automated reporting and the data foundations that power conversational, AI-driven insights across our reporting stack.
Keep production pipelines and queries healthy and performant at scale and drive optimization for cost and latency.
MINIMUM QUALIFICATIONS
Bachelor’s degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
Proficiency in SQL and Python, PySpark, Airflow, Databricks workflows.
5+ years in data engineering, including production pipelines at scale.
Experience with high-volume event/telemetry data from a client application, not just server-side data.
Experience integrating AI tools to optimize/redesign workflows towards higher efficiency, quality, or latency.
Experience building multi-agent AI systems or agentic workflows.
Working knowledge of AI/ML data pipelines (feature stores, embeddings, or retrieval) and modern BI/reporting tools.
A track record of partnering with Product, Engineering, and Data Science to turn ambiguous questions into reliable data models.
PREFERRED QUALIFICATIONS
MS or Ph.D. in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
Hands-on experience with Databricks and Unity Catalog (or comparable Lakehouse and governance tooling).
Experience deploying and managing services and applications on Azure and Azure Cloud platforms.
Familiarity with Retrieval Augmented Generation (RAG) techniques working in conjunction with LLMs.
Familiarity with data privacy and compliance for user-behavior data (e.g., GDPR, CCPA).
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.
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.
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.
INTRODUCTION
The world of design is changing rapidly and the Pro Design team is leading that transformation. We are the Adobe organization behind Illustrator, InDesign, and emerging experiences that connect creativity, collaboration, and AI. Our teams are reimagining what professional design looks like for the next decade - building intelligent, connected tools that empower creators and teams to move faster without sacrificing craft.
We are looking for a Senior Data Engineer who will build a strong and scalable foundation to support it. Join us and build Adobe’s future products!
ROLE AND RESPONSIBILITIES
Build, scale and optimize the data architecture and ETL/pipeline on Databricks across Pro Design products, spanning shared platform data and in-app usage telemetry.
Partner with Product, Engineering, and Data Science to define and implement data logging and instrumentation that enables product experimentation, AI/ML features, and analytics.
Set and evolve governance standards regarding data quality, privacy, security, lineage, and SLAs in Unity Catalog.
Build automated reporting and the data foundations that power conversational, AI-driven insights across our reporting stack.
Keep production pipelines and queries healthy and performant at scale and drive optimization for cost and latency.
MINIMUM QUALIFICATIONS
Bachelor’s degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
Proficiency in SQL and Python, PySpark, Airflow, Databricks workflows.
5+ years in data engineering, including production pipelines at scale.
Experience with high-volume event/telemetry data from a client application, not just server-side data.
Experience integrating AI tools to optimize/redesign workflows towards higher efficiency, quality, or latency.
Experience building multi-agent AI systems or agentic workflows.
Working knowledge of AI/ML data pipelines (feature stores, embeddings, or retrieval) and modern BI/reporting tools.
A track record of partnering with Product, Engineering, and Data Science to turn ambiguous questions into reliable data models.
PREFERRED QUALIFICATIONS
MS or Ph.D. in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
Hands-on experience with Databricks and Unity Catalog (or comparable Lakehouse and governance tooling).
Experience deploying and managing services and applications on Azure and Azure Cloud platforms.
Familiarity with Retrieval Augmented Generation (RAG) techniques working in conjunction with LLMs.
Familiarity with data privacy and compliance for user-behavior data (e.g., GDPR, CCPA).
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.
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.
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.
Tips for Finding Data Analytics Engineer Jobs at Adobe
Align your portfolio to Adobe's data stack
Adobe's Data Analytics Engineers work heavily with tools like Adobe Analytics, Snowflake, and Python-based pipelines. Showcasing projects that mirror this stack in your portfolio signals immediate fit and reduces employer hesitation around sponsorship investment.
Target teams with recurring headcount
Adobe's Experience Cloud and Digital Media divisions post Data Analytics Engineer roles with regularity. Filtering your search by business unit rather than job title alone helps you identify teams that sponsor repeatedly, not just opportunistically.
Understand how E-3 fits your situation
If you're an Australian citizen, the E-3 visa has no lottery and processes faster than H-1B. Adobe sponsors E-3s for engineering roles, so confirming your nationality with your recruiter early prevents unnecessary delays in the offer process.
File OPT STEM extension paperwork early
USCIS recommends filing STEM OPT extension applications at least 90 days before your initial OPT expires. Adobe's timeline for converting interns and new grads to full-time sponsorship often depends on your remaining work authorization runway.
Ask specifically about H-1B cap-exempt filing paths
Adobe itself is not a cap-exempt employer, so H-1B petitions are subject to the annual lottery. Confirm with your recruiter whether your start date accommodates the October 1 cap-subject start requirement before signing an offer.
Use Migrate Mate to filter Adobe openings by visa type
Targeting Data Analytics Engineer roles at Adobe that match your specific visa category saves time during a competitive search. Migrate Mate lets you browse and filter Adobe's open roles by the visa types the company sponsors for this function.
Frequently Asked Questions
Does Adobe sponsor H-1B visas for Data Analytics Engineers?
Yes, Adobe sponsors H-1B visas for Data Analytics Engineers. Because Adobe is a cap-subject employer, H-1B petitions must go through the annual USCIS lottery, with selections typically announced in March and employment starting no earlier than October 1. If you're currently on OPT, Adobe will often bridge that gap while a petition is pending.
How do I apply for Data Analytics Engineer jobs at Adobe?
Apply directly through Adobe's careers portal and make your need for visa sponsorship clear in your application or early recruiter screen. Adobe's talent acquisition team is experienced with sponsorship workflows, so transparency upfront avoids wasted time. You can also browse Data Analytics Engineer openings at Adobe filtered by visa type on Migrate Mate before applying.
Which visa types does Adobe commonly sponsor for Data Analytics Engineers?
Adobe sponsors H-1B, E-3 visa (for Australian citizens), TN visa (for Canadian and Mexican nationals with qualifying degrees), F-1 OPT and CPT, J-1 visa, and Green Card pathways including EB-2 and EB-3. The right category depends on your nationality, degree field, and current status. Data Analytics Engineers with a background in computer science, statistics, or a related field typically qualify across most of these categories.
What qualifications does Adobe expect for Data Analytics Engineer roles?
Most Data Analytics Engineer roles at Adobe require a bachelor's or master's degree in computer science, statistics, data science, or a related quantitative field. Hands-on experience with SQL, Python, and cloud-based data warehousing platforms is consistently emphasized in job postings. Familiarity with Adobe's own analytics products is a differentiator for candidates coming from digital marketing or SaaS environments.
How do I know if Adobe will sponsor my specific visa category before applying?
The fastest path is to ask directly during the recruiter screen. Adobe's immigration team handles multiple visa categories for engineering roles, but sponsorship eligibility can depend on your specific status, how much work authorization you have remaining, and the hiring team's timeline. Reviewing DOL Labor Condition Application disclosure data can also confirm which visa types Adobe has filed for similar roles historically.