Data Engineer Green Card Jobs
Data Engineer roles qualify for employment-based green card sponsorship under EB-2 or EB-3, depending on your degree level and the employer's job requirements. Employers file a PERM labor certification with DOL before petitioning USCIS, locking in a priority date that determines your place in the permanent residency queue.
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Get Access To All JobsThe Opportunity:
The Marketing Operations and Engineering team in Growth Marketing and Insights (GMI) handles data architecture, transformation, and engineering for marketing measurement and insights. We manage backend data for attribution, customer segmentation, and lifetime value.
We are looking for an Engineering Lead passionate about artificial intelligence. This role will evolve our data platform to support analytics, reporting, machine learning, and generative AI use cases.
You will collaborate with business analysts, data scientists, and AI/ML teams to build scalable, AI-ready data systems that enable faster insights, automation, and intelligent decision-making.
- Lead the design and development of scalable data pipelines, ETL/ELT processes, and data platforms that support analytics, marketing measurement, and AI/ML use cases
- Partner with business, data science, and engineering teams to define requirements, design architectures, and deliver high-quality data products
- Own and evolve the data platform to ensure data quality, governance, reliability, and efficient access for analysts, data scientists, and AI systems
- Re-architect and optimize data models and databases to improve usability, performance, and AI-readiness (semantic layers, feature-ready datasets)
- Drive adoption of AI-enabled workflows to accelerate development, automate insights, and improve operational efficiency
- Enable use cases such as automated reporting, conversational analytics, and intelligent decision support systems
What you need to succeed
- BS/MS in Computer Science or equivalent experience with 8+ years of data engineering experience
- Strong expertise in SQL, Python, Spark, and modern data pipeline/orchestration tools (e.g., Airflow, dbt)
- Hands-on experience with cloud platforms (AWS, Azure, GCP) and modern data platforms such as Databricks
- Strong understanding of data modeling, data quality, governance, and scalable distributed systems
- Experience collaborating with data scientists and BI teams to deliver actionable insights and production-grade data solutions
- Exposure to AI/ML workflows and Generative AI concepts (e.g., embeddings, RAG, vector databases, LLM-powered applications)
- Experience using AI-assisted development tools (e.g., Cursor, Copilot, Claude) to improve engineering productivity
- Strong communication skills and ability to translate business needs into data and Technology-based solutions
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.
The Opportunity:
The Marketing Operations and Engineering team in Growth Marketing and Insights (GMI) handles data architecture, transformation, and engineering for marketing measurement and insights. We manage backend data for attribution, customer segmentation, and lifetime value.
We are looking for an Engineering Lead passionate about artificial intelligence. This role will evolve our data platform to support analytics, reporting, machine learning, and generative AI use cases.
You will collaborate with business analysts, data scientists, and AI/ML teams to build scalable, AI-ready data systems that enable faster insights, automation, and intelligent decision-making.
- Lead the design and development of scalable data pipelines, ETL/ELT processes, and data platforms that support analytics, marketing measurement, and AI/ML use cases
- Partner with business, data science, and engineering teams to define requirements, design architectures, and deliver high-quality data products
- Own and evolve the data platform to ensure data quality, governance, reliability, and efficient access for analysts, data scientists, and AI systems
- Re-architect and optimize data models and databases to improve usability, performance, and AI-readiness (semantic layers, feature-ready datasets)
- Drive adoption of AI-enabled workflows to accelerate development, automate insights, and improve operational efficiency
- Enable use cases such as automated reporting, conversational analytics, and intelligent decision support systems
What you need to succeed
- BS/MS in Computer Science or equivalent experience with 8+ years of data engineering experience
- Strong expertise in SQL, Python, Spark, and modern data pipeline/orchestration tools (e.g., Airflow, dbt)
- Hands-on experience with cloud platforms (AWS, Azure, GCP) and modern data platforms such as Databricks
- Strong understanding of data modeling, data quality, governance, and scalable distributed systems
- Experience collaborating with data scientists and BI teams to deliver actionable insights and production-grade data solutions
- Exposure to AI/ML workflows and Generative AI concepts (e.g., embeddings, RAG, vector databases, LLM-powered applications)
- Experience using AI-assisted development tools (e.g., Cursor, Copilot, Claude) to improve engineering productivity
- Strong communication skills and ability to translate business needs into data and Technology-based solutions
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 12,366+ Data Engineer jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Data Engineer roles.
Get Access To All JobsTips for Finding Green Card Sponsorship as a Data Engineer
Align your credentials with PERM requirements
PERM certifies the specific education and experience requirements in the job posting, so gaps between your actual credentials and the employer's stated minimum can trigger audits. Get foreign degrees evaluated before you apply to confirm EB-2 or EB-3 eligibility.
Check the prevailing wage before negotiating
Your employer must pay at least the DOL prevailing wage for your role and location. Run the OFLC Wage Search before salary talks so you know the floor. Accepting below prevailing wage invalidates the LCA and stalls your entire green card filing.
Target employers with active PERM filing history
Not every company that posts Data Engineer roles has experience navigating PERM. Search for employers who have sponsored PERM applications in your occupation code before, since they already understand the multi-year timeline and have internal processes in place.
Use Migrate Mate to filter sponsoring employers
Many job postings don't advertise green card sponsorship upfront. Use Migrate Mate to find Data Engineer roles at companies with confirmed employment-based sponsorship history, so you spend your time on applications that can actually lead to permanent residency.
Understand how your country affects your priority date
EB-2 and EB-3 priority dates move independently by country of birth. If you're from India or China, your wait in the employment-based queue can be many years regardless of when USCIS approves your I-140. Check the monthly Visa Bulletin to track your priority date before accepting a sponsorship offer.
Clarify portability rights before accepting an offer
Under AC21, you can change Data Engineer employers after your I-485 has been pending for 180 days, provided the new role is in the same or similar occupational classification. Confirm this explicitly with the hiring employer and their immigration counsel before you sign.
Data Engineer jobs are hiring across the US. Find yours.
Find Data Engineer JobsData Engineer Green Card Sponsorship: Frequently Asked Questions
Does a Data Engineer role qualify for EB-2 or EB-3 green card sponsorship?
Data Engineer positions typically qualify under EB-3 as skilled workers requiring a bachelor's degree, or under EB-2 when the role requires an advanced degree or the candidate holds one and the employer can justify the elevated requirement. The O*NET occupation profile for Data Engineers supports a specialty occupation classification, which strengthens the employer's PERM filing and I-140 petition.
How does green card sponsorship differ from H-1B sponsorship for a Data Engineer?
H-1B is a temporary nonimmigrant status capped at 85,000 new visas per fiscal year, subject to lottery selection. Employment-based green card sponsorship through PERM leads to permanent residency with no annual lottery. The trade-off is timeline: PERM, I-140, and adjustment of status can take several years, longer for applicants born in high-demand countries. The permanence and the absence of lottery risk make green card sponsorship more valuable long-term.
How long does the PERM and green card process take for a Data Engineer role?
The PERM labor certification stage alone currently averages over a year at DOL due to analyst review backlogs. After PERM approval, USCIS adjudicates the I-140 petition, followed by adjustment of status or consular processing. Total timelines range from two to five or more years depending on your country of birth, DOL processing speed, and whether your employer uses premium processing on eligible steps.
How do I find Data Engineer jobs where the employer will sponsor a green card?
Most employers don't advertise green card sponsorship in job postings, so filtering by that criterion manually is difficult. Migrate Mate surfaces Data Engineer roles at companies with confirmed employment-based sponsorship history, letting you skip the guesswork and focus on employers who have already committed to PERM-based sponsorship for similar roles.
Can I switch jobs while my green card is in process as a Data Engineer?
Yes, under the AC21 portability rule, you can change employers after your I-485 adjustment-of-status application has been pending for 180 days, provided the new role is in the same or similar occupational classification as the one certified in your PERM. Data Engineering roles generally map closely enough to allow portability, but your new employer's immigration counsel should confirm before you make the move.
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