Data Infrastructure Engineer Green Card Jobs
Data Infrastructure Engineer roles qualify for green card sponsorship under EB-2 for advanced-degree professionals and EB-3 for skilled workers with a bachelor's degree. Employers file PERM labor certification with DOL before petitioning USCIS, making infrastructure-focused engineering one of the more consistently sponsored specializations in U.S. tech hiring.
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Get Access To All JobsINTRODUCTION
Are you obsessed with data, partner success, taking action, and changing the game? If you have a whole lot of hustle and a touch of nerd, come work with Pattern! We want you to use your skills to push one of the fastest-growing companies headquartered in the US to the top of the list.
Pattern accelerates brands on global ecommerce marketplaces leveraging proprietary technology and AI. Utilizing more than 66 trillion data points, sophisticated machine learning and AI models, Pattern optimizes and automates all levers of ecommerce growth for global brands, including advertising, content management, logistics and fulfillment, pricing, forecasting and customer service. Hundreds of global brands depend on Pattern’s ecommerce acceleration platform every day to drive profitable revenue growth across 60+ global marketplaces—including Amazon, Walmart.com, Target.com, eBay, Tmall, TikTok Shop, JD, and Mercado Libre.
Pattern has been named one of the fastest growing tech companies headquartered in North America by Deloitte and one of best-led companies by Inc. We place employee experience at the center of our business model and have been recognized as one of Newsweek’s Global Most Loved Workplaces®.
ROLE AND RESPONSIBILITIES
We are looking for a visionary Staff Data Infrastructure Engineer to lead the design, architecture, and implementation of our next-generation data platform. In this high-impact role, you will be the catalyst that enables our partners and global teams to extract actionable insights with unprecedented speed and sustainability. If you are ready to architect the backbone of a data-driven empire and eliminate friction at a global scale, you belong at Pattern.
What is a day in the life of a Staff Data Infrastructure Engineer?
- Build and maintain scalable, high-performance data infrastructure designed to support both batch and real-time use cases for a wide variety of global stakeholders.
- Design and implement architectural solutions that drastically reduce friction in data access across the organization.
- Collaborate cross-functionally with Engineering, Data, and Product teams to align the platform with diverse technical requirements.
- Understand and integrate best security practices to ensure access compliance across all data assets.
- Troubleshoot and resolve complex issues in distributed data systems to ensure total data integrity.
- Architect and implement AI-driven diagnostic systems to autonomously identify, analyze, and resolve complex issues impacting data availability and platform health.
BASIC QUALIFICATIONS
What will I need to thrive in this role?
- 8+ years of experience in data infrastructure or backend software engineering with a "Data Fanatic" mindset.
- Cloud Mastery: Strong expertise in cloud environments, container orchestration, and event streaming technologies for managing large-scale infrastructure.
- Data Processing: Strong experience with distributed data processing and OLAP technologies such as Spark, Trino, and ClickHouse; Snowflake or Databricks experience is a plus.
- Technical Excellence: Ability to write clean, maintainable code in Python, GoLang, Java, Ruby, or C++.
- Proactive Leadership: A "can-do" attitude with a proven track record of solving complex problems and taking initiative.
- Collaborative Spirit: Strong ability to work across teams to deliver high-quality, high-impact results.
- System Observability: Expertise in building highly observable platforms using tools like Prometheus, Grafana, or Datadog to ensure deep visibility and proactive reliability of global systems.
PREFERRED QUALIFICATIONS
What does high performance look like?
- Execution & Innovation: You proactively find and implement solutions that ensure platform scalability while remaining cost-effective, consistently optimizing infrastructure performance.
- System Scalability: You successfully deliver major infrastructure upgrades that empower the company to harness 46+ trillion data points effectively.
- A Team of Doers: You mentor team members daily, driving a culture of technical excellence and growth.
- Setting the Bar: You establish and enforce industry-leading best practices, ensuring the team adopts cutting-edge processes.
CAREER GROWTH
What is my potential for career growth?
- Direct mentorship opportunities with senior leadership in Data and Architecture.
- Professional exposure through collaboration with diverse departments across the global Pattern ecosystem.
- A clear, merit-based path for advancement within a rapidly growing tech company.
- Opportunities to lead high-visibility projects that define the future of Pattern’s technical roadmap.
- Internal promotion priority for high-performing "Pattern People."
SUCCESS METRICS
What does success look like in the first 30, 60, 90 days?
- First 30 Days: Build context quickly, assess the current platform, and identify the most important opportunities for improvement.
- First 60 Days: Contribute immediately to high-priority initiatives and lead design efforts to improve platform reliability, scalability, and operations.
- First 90 Days: Deliver significant technical impact, shape the platform roadmap, and provide technical leadership across the organization.
TEAM DYNAMICS
What is the team like?
This role reports directly to the VP of Data and Architecture. You will be joining a growing team of data professionals. In this role, you will collaborate closely with Data Engineers and Software Engineers as well as other departments including Engineering, Product, and Marketing. This position is mentored by the VP of Data and Architecture.
COMPANY CULTURE
Sounds great! What’s the company culture?
We are looking for individuals who are:
- Game Changers: A game changer is someone who looks at problems with an open mind and shares new ideas with team members, regularly reassesses existing plans and attaches a realistic timeline to goals, makes profitable, productive, and innovative contributions, and actively pursues improvements to Pattern’s processes and outcomes.
- Data Fanatics: A data fanatic is someone who recognizes problems and seeks to understand them through data, draws unbiased conclusions based on data that lead to actionable solutions, and continues to track the effects of the solutions using data.
- Partner Obsessed: An individual who is partner obsessed clearly explains the status of projects to partners and relies on constructive feedback, actively listens to partner’s expectations, and delivers results that exceed them, prioritizes the needs of your partners, and takes the time to create a personable experience for those interacting with Pattern.
- Team of Doers: Someone who is a part of a team of doers uplifts team members and recognizes their specific contributions, takes initiative to help in any circumstance, actively contributes to supporting improvements, and holds themselves accountable to the team as well as to partners.
HIRING PROCESS
What is the hiring process?
- Initial interview with Pattern’s talent acquisition team
- Technical video interview with a senior member of the data platform team
- Onsite interview with peers and senior leadership
- Professional reference checks
- Executive review
- Offer
APPLICATION TIPS
How can I stand out as an applicant?
- Strong Nice-to-Haves: Expertise in Databricks/Snowflake, experience with GoLang or Scala, and a history of contributing to open-source data projects.
- Quantify Success: During the interview, discuss professional accomplishments using specific data and metrics to show your impact.
- Show Your Passion: Highlight any side projects related to data analytics or large-scale infrastructure.
- The "Partner" Lens: Be prepared to explain how your technical decisions directly improve the experience and success of the partners who rely on your data platform.
WHY WORK AT PATTERN?
Pattern offers big opportunities to make a difference in the ecommerce industry! We are a company full of talented people that evolves quickly and often. We set big goals, work tirelessly to achieve them, and we love our Pattern community. We also believe in having fun and balancing our lives, so we offer awesome benefits that include:
- Unlimited PTO
- Paid Holidays
- Onsite Fitness Center
- Company Paid Life Insurance
- Casual Dress Code
- Competitive Pay
- Health, Vision, and Dental Insurance
- 401(k) match. Pattern matches 100% of the first 3% in eligible compensation deferred and 50% of the next 2% in eligible compensation deferred.
Pattern provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability, status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.
INTRODUCTION
Are you obsessed with data, partner success, taking action, and changing the game? If you have a whole lot of hustle and a touch of nerd, come work with Pattern! We want you to use your skills to push one of the fastest-growing companies headquartered in the US to the top of the list.
Pattern accelerates brands on global ecommerce marketplaces leveraging proprietary technology and AI. Utilizing more than 66 trillion data points, sophisticated machine learning and AI models, Pattern optimizes and automates all levers of ecommerce growth for global brands, including advertising, content management, logistics and fulfillment, pricing, forecasting and customer service. Hundreds of global brands depend on Pattern’s ecommerce acceleration platform every day to drive profitable revenue growth across 60+ global marketplaces—including Amazon, Walmart.com, Target.com, eBay, Tmall, TikTok Shop, JD, and Mercado Libre.
Pattern has been named one of the fastest growing tech companies headquartered in North America by Deloitte and one of best-led companies by Inc. We place employee experience at the center of our business model and have been recognized as one of Newsweek’s Global Most Loved Workplaces®.
ROLE AND RESPONSIBILITIES
We are looking for a visionary Staff Data Infrastructure Engineer to lead the design, architecture, and implementation of our next-generation data platform. In this high-impact role, you will be the catalyst that enables our partners and global teams to extract actionable insights with unprecedented speed and sustainability. If you are ready to architect the backbone of a data-driven empire and eliminate friction at a global scale, you belong at Pattern.
What is a day in the life of a Staff Data Infrastructure Engineer?
- Build and maintain scalable, high-performance data infrastructure designed to support both batch and real-time use cases for a wide variety of global stakeholders.
- Design and implement architectural solutions that drastically reduce friction in data access across the organization.
- Collaborate cross-functionally with Engineering, Data, and Product teams to align the platform with diverse technical requirements.
- Understand and integrate best security practices to ensure access compliance across all data assets.
- Troubleshoot and resolve complex issues in distributed data systems to ensure total data integrity.
- Architect and implement AI-driven diagnostic systems to autonomously identify, analyze, and resolve complex issues impacting data availability and platform health.
BASIC QUALIFICATIONS
What will I need to thrive in this role?
- 8+ years of experience in data infrastructure or backend software engineering with a "Data Fanatic" mindset.
- Cloud Mastery: Strong expertise in cloud environments, container orchestration, and event streaming technologies for managing large-scale infrastructure.
- Data Processing: Strong experience with distributed data processing and OLAP technologies such as Spark, Trino, and ClickHouse; Snowflake or Databricks experience is a plus.
- Technical Excellence: Ability to write clean, maintainable code in Python, GoLang, Java, Ruby, or C++.
- Proactive Leadership: A "can-do" attitude with a proven track record of solving complex problems and taking initiative.
- Collaborative Spirit: Strong ability to work across teams to deliver high-quality, high-impact results.
- System Observability: Expertise in building highly observable platforms using tools like Prometheus, Grafana, or Datadog to ensure deep visibility and proactive reliability of global systems.
PREFERRED QUALIFICATIONS
What does high performance look like?
- Execution & Innovation: You proactively find and implement solutions that ensure platform scalability while remaining cost-effective, consistently optimizing infrastructure performance.
- System Scalability: You successfully deliver major infrastructure upgrades that empower the company to harness 46+ trillion data points effectively.
- A Team of Doers: You mentor team members daily, driving a culture of technical excellence and growth.
- Setting the Bar: You establish and enforce industry-leading best practices, ensuring the team adopts cutting-edge processes.
CAREER GROWTH
What is my potential for career growth?
- Direct mentorship opportunities with senior leadership in Data and Architecture.
- Professional exposure through collaboration with diverse departments across the global Pattern ecosystem.
- A clear, merit-based path for advancement within a rapidly growing tech company.
- Opportunities to lead high-visibility projects that define the future of Pattern’s technical roadmap.
- Internal promotion priority for high-performing "Pattern People."
SUCCESS METRICS
What does success look like in the first 30, 60, 90 days?
- First 30 Days: Build context quickly, assess the current platform, and identify the most important opportunities for improvement.
- First 60 Days: Contribute immediately to high-priority initiatives and lead design efforts to improve platform reliability, scalability, and operations.
- First 90 Days: Deliver significant technical impact, shape the platform roadmap, and provide technical leadership across the organization.
TEAM DYNAMICS
What is the team like?
This role reports directly to the VP of Data and Architecture. You will be joining a growing team of data professionals. In this role, you will collaborate closely with Data Engineers and Software Engineers as well as other departments including Engineering, Product, and Marketing. This position is mentored by the VP of Data and Architecture.
COMPANY CULTURE
Sounds great! What’s the company culture?
We are looking for individuals who are:
- Game Changers: A game changer is someone who looks at problems with an open mind and shares new ideas with team members, regularly reassesses existing plans and attaches a realistic timeline to goals, makes profitable, productive, and innovative contributions, and actively pursues improvements to Pattern’s processes and outcomes.
- Data Fanatics: A data fanatic is someone who recognizes problems and seeks to understand them through data, draws unbiased conclusions based on data that lead to actionable solutions, and continues to track the effects of the solutions using data.
- Partner Obsessed: An individual who is partner obsessed clearly explains the status of projects to partners and relies on constructive feedback, actively listens to partner’s expectations, and delivers results that exceed them, prioritizes the needs of your partners, and takes the time to create a personable experience for those interacting with Pattern.
- Team of Doers: Someone who is a part of a team of doers uplifts team members and recognizes their specific contributions, takes initiative to help in any circumstance, actively contributes to supporting improvements, and holds themselves accountable to the team as well as to partners.
HIRING PROCESS
What is the hiring process?
- Initial interview with Pattern’s talent acquisition team
- Technical video interview with a senior member of the data platform team
- Onsite interview with peers and senior leadership
- Professional reference checks
- Executive review
- Offer
APPLICATION TIPS
How can I stand out as an applicant?
- Strong Nice-to-Haves: Expertise in Databricks/Snowflake, experience with GoLang or Scala, and a history of contributing to open-source data projects.
- Quantify Success: During the interview, discuss professional accomplishments using specific data and metrics to show your impact.
- Show Your Passion: Highlight any side projects related to data analytics or large-scale infrastructure.
- The "Partner" Lens: Be prepared to explain how your technical decisions directly improve the experience and success of the partners who rely on your data platform.
WHY WORK AT PATTERN?
Pattern offers big opportunities to make a difference in the ecommerce industry! We are a company full of talented people that evolves quickly and often. We set big goals, work tirelessly to achieve them, and we love our Pattern community. We also believe in having fun and balancing our lives, so we offer awesome benefits that include:
- Unlimited PTO
- Paid Holidays
- Onsite Fitness Center
- Company Paid Life Insurance
- Casual Dress Code
- Competitive Pay
- Health, Vision, and Dental Insurance
- 401(k) match. Pattern matches 100% of the first 3% in eligible compensation deferred and 50% of the next 2% in eligible compensation deferred.
Pattern provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability, status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.
See all 140+ Data Infrastructure Engineer jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Data Infrastructure Engineer roles.
Get Access To All JobsTips for Finding Green Card Sponsorship as a Data Infrastructure Engineer
Document your infrastructure specialization before applying
PERM requires the employer to define a specific job requirement, not a general engineering role. Organize proof of your specialization in distributed systems, cloud infrastructure, or data pipelines so employers can accurately define the position around your credentials.
Target employers with active PERM filing history
Search the DOL OFLC disclosure data for data engineering job titles to identify employers who have filed PERM for infrastructure roles before. Past filings signal an existing sponsorship process rather than one you'd have to build from scratch.
Use Migrate Mate to filter roles by sponsorship status
Search Migrate Mate specifically for Data Infrastructure Engineer roles with green card sponsorship indicated. Filtering by sponsorship history saves you from applying to companies that only sponsor H-1B and have no PERM infrastructure in place.
Clarify EB-2 versus EB-3 eligibility with your prospective employer
EB-2 requires the role to genuinely need an advanced degree or its equivalent. If your employer posts the position as requiring only a bachelor's degree, you'll likely be filed under EB-3, which affects your priority date and wait time depending on your country of birth.
Understand how PERM recruitment affects your start date
PERM requires DOL-supervised recruitment before filing, which typically adds several months before your I-140 petition can be submitted. Factor this into offer negotiations so your H-1B or other status remains valid throughout the entire PERM and I-140 stage.
Verify your employer uses E-Verify before accepting an offer
E-Verify enrollment is a practical indicator of immigration compliance infrastructure. Employers already enrolled are more likely to have established relationships with immigration counsel and an internal process for managing PERM timelines for technical roles like yours.
Data Infrastructure Engineer jobs are hiring across the US. Find yours.
Find Data Infrastructure Engineer JobsData Infrastructure Engineer Green Card Sponsorship: Frequently Asked Questions
Do Data Infrastructure Engineer roles qualify for EB-2 or EB-3 green card sponsorship?
Both categories apply depending on how the employer defines the role. EB-2 applies when the position genuinely requires an advanced degree or equivalent specialized experience. EB-3 covers roles requiring a bachelor's degree. Most data infrastructure positions are filed under EB-2 at larger tech employers, but EB-3 filings are common at mid-size companies where job descriptions specify a four-year degree.
How does green card sponsorship differ from H-1B for this role?
H-1B is a temporary status with a three-year initial period and annual cap exposure at registration. Green card sponsorship through PERM and I-140 targets permanent residency with no renewal cycle once approved. The PERM process is longer, typically 18 to 36 months from start to I-485 filing, but it removes annual cap risk entirely and gives you status portability once your I-140 is approved and your priority date is current.
What does the PERM process look like specifically for a Data Infrastructure Engineer?
Your employer files a labor condition application with DOL, conducts supervised recruitment to confirm no qualified U.S. workers are available, and then submits the PERM application. For technical roles like data infrastructure, the job description must clearly define the minimum requirements, including specific infrastructure technologies, so the prevailing wage determination from the OFLC Wage Search accurately reflects your specialty area.
How can I find Data Infrastructure Engineer jobs that already sponsor green cards?
Use Migrate Mate to search specifically for Data Infrastructure Engineer roles filtered by employment-based green card sponsorship history. Targeting employers with confirmed PERM filing activity for similar titles is far more efficient than applying broadly and asking about sponsorship during the interview process, where many hiring managers don't have visibility into their own company's immigration policies.
Can I switch employers after my green card process has started?
Once your I-140 is approved and has been pending for 180 days or more, federal law allows you to port your priority date to a new employer in a same or similar occupational classification. Data infrastructure and data engineering roles generally fall under the same SOC code structure, but your new employer will need to file a new I-140 and confirm the role qualifies for portability before you change jobs.
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