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.
Find Data Engineer Jobs at AdobeOverview
Showing 5 of 11+ Data Engineer Jobs at Adobe


Have you applied for this role?


Have you applied for this role?


Have you applied for this role?


Have you applied for this role?


Have you applied for this role?
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 Jobs
ABOUT THE ROLE
We are looking for a Senior Data Engineer to join our Data & Analytics Engineering team. In this role, you will develop and maintain scalable data pipelines that support product usage reporting and enterprise analytics across our products. You will operate where data architecture, data quality, and multi-functional ownership meet to ensure data is trusted, validated, and reliably delivered from product instrumentation to executive dashboards.
KEY RESPONSIBILITIES
Data Architecture & Pipeline Engineering:
- Build and implement end-to-end data pipelines spanning product instrumentation, ingestion, transformation, semantic modeling, and reporting layers (e.g., Power BI).
- Develop and maintain documentation for source-of-truth datasets, including ownership of metric definitions, data joins, schema transformations, and lineage tracking.
- Lead data modeling efforts, including entity relationship build, dimensional modeling, and consumption-layer optimization.
Data Governance & Ownership:
- Establish and maintain clear ownership models across the data lifecycle — from ingestion to semantic model to reporting.
- Define RACI frameworks for data accountability, clarifying which roles are responsible, accountable, consulted, and informed at each stage.
- Ensure downstream teams are proactively notified and protected when upstream schema or logic changes occur.
Data Quality & Validation:
- Build and enforce data validation strategies at the pipeline level and at semantic/reporting consumption layers.
- Define and implement quality gates that must pass before dashboards or metrics are considered production-ready.
- Build monitoring, alerting, and anomaly detection systems to proactively surface data quality issues.
- Conduct root-cause analysis on data incidents and drive resolution across teams.
Collaboration & Partner Enablement:
- Act as a technical point of contact between Data Engineering, Product, Analytics, and BI teams.
- Mentor junior data engineers and contribute to team standards and ongoing skill development.
- Participate in architectural reviews and sign-off processes for new data products and features.
QUALIFICATIONS
- 5+ years of experience in data engineering, data architecture, or a closely related field.
- Proficiency in unified data platforms like Databricks, Snowflake.
- Proficiency in SQL and at least one modern data transformation framework (e.g., dbt, Spark, Dataflow).
- Hands-on experience building and maintaining high-capacity data integration solutions in cloud environments (AWS, Azure, or GCP).
- Experience with semantic modeling and BI consumption layers, including familiarity with tools such as Power BI, Tableau, or Looker.
- Demonstrated ability to define and detail data ownership models, RACI frameworks, or data governance policies.
- Strong communication skills — able to clearly explain data concepts and architectural decisions to technical and non-technical audiences.
PREFERRED QUALIFICATIONS
- Experience with product usage / event data (e.g., Amplitude, Segment, Adobe Analytics, or custom instrumentation).
- Familiarity with data contracts, schema registries, or data mesh principles.
- Experience with Power BI dataflow, datasets, or enterprise-scale report delivery.
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 $139,000 - $257,550 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 $177,900 - $257,550.
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 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.