Analytics Engineer Jobs at Adobe with Visa Sponsorship
Analytics Engineer jobs at Adobe sit at the intersection of data infrastructure and business intelligence, requiring SQL expertise, data modeling depth, and fluency with modern analytics stacks. Adobe has a well-established sponsorship practice for technical roles like this one, supporting candidates across multiple visa categories throughout the hiring and filing process.
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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 Analytics Engineer Jobs at Adobe
Align Your Portfolio to Adobe's Data Stack
Adobe's analytics teams work heavily with tools like Adobe Experience Platform and Marketo data pipelines. Frame your portfolio projects around dbt, Snowflake, or similar cloud-native tooling to signal direct technical fit before your first interview.
Distinguish E-3 Eligibility Before Applying
If you're an Australian citizen, the E-3 visa bypasses the H-1B lottery entirely. Adobe sponsors E-3 visas for technical roles, so flagging your eligibility early in the process can accelerate the offer and filing timeline significantly.
Prepare Your Specialty Occupation Documentation Early
USCIS requires Analytics Engineer roles to meet specialty occupation standards, meaning your degree must directly relate to the position. Gather your transcripts, credential evaluations, and any equivalency documentation before you receive an offer, not after.
Target Adobe's Internal Data and MarTech Teams
Adobe's highest volume of Analytics Engineer hiring runs through its Digital Experience and Marketing Technology divisions. Focusing your application toward these business units increases your odds of reaching a team with active headcount and established sponsorship workflows.
Understand the LCA Timeline Before Accepting an Offer
Your employer must file a Labor Condition Application with the DOL before USCIS can receive your H-1B petition. At Adobe, this step is handled by their immigration team, but you should factor the LCA certification window into your start date negotiation.
Use Migrate Mate to Surface Sponsorship-Confirmed Openings
Not every Analytics Engineer listing at Adobe explicitly flags visa sponsorship. Use Migrate Mate to filter roles confirmed for your visa category, so you're spending time on positions where sponsorship is already part of the hiring plan.
Frequently Asked Questions
Does Adobe sponsor H-1B visas for Analytics Engineers?
Yes, Adobe sponsors H-1B visas for Analytics Engineer roles. Because these positions require specialized knowledge in data modeling, SQL, and analytics infrastructure, they generally qualify as specialty occupations under USCIS criteria. Adobe has an internal immigration team that manages petitions, which means the sponsorship process is structured rather than ad hoc. If you're subject to the H-1B cap, timing your application cycle is critical.
How do I apply for Analytics Engineer jobs at Adobe?
Apply directly through Adobe's careers portal, where Analytics Engineer roles are listed under the Digital Experience or Data and Analytics categories. Tailor your resume to reflect experience with cloud data warehouses, transformation tools like dbt, and business intelligence platforms. If you need visa sponsorship, indicate that clearly during the application process. Migrate Mate also surfaces confirmed sponsorship-eligible Analytics Engineer openings at Adobe, which can help you prioritize.
Which visa types does Adobe commonly use for Analytics Engineer roles?
Adobe sponsors H-1B, E-3 visa, TN visa, F-1 OPT, F-1 CPT, J-1 visa, and Green Card pathways including EB-2 and EB-3 for Analytics Engineer positions. The right category depends on your citizenship and current status. Australian citizens have access to the E-3 visa, which has no lottery. Canadian and Mexican nationals may qualify for the TN visa. Students on F-1 OPT can begin working before a longer-term petition is filed.
What qualifications does Adobe expect for Analytics Engineer positions?
Adobe's Analytics Engineer roles typically require a bachelor's or master's degree in computer science, statistics, information systems, or a closely related field. Hands-on experience with SQL, data pipeline development, and cloud platforms like Snowflake or BigQuery is expected. Familiarity with Adobe Experience Platform or the broader Adobe product suite is a differentiated advantage. For visa purposes, your degree field must align directly with the role for USCIS specialty occupation approval.
How do I time my job search around the H-1B cap if I'm targeting Adobe?
USCIS opens H-1B registration in March each year for an October 1 start date. If you're on F-1 OPT, your employment authorization needs to bridge that gap. Adobe can file cap-exempt petitions for candidates at affiliated institutions, but most roles are cap-subject. Starting your application process at Adobe several months before the registration window gives the internal immigration team enough runway to prepare your petition materials.