Data Infrastructure Engineer Jobs in USA with Visa Sponsorship
Data Infrastructure Engineers are strong H-1B visa sponsorship candidates. The role qualifies as a specialty occupation requiring a bachelor's degree in computer science, information systems, or a related field, and employers in cloud, fintech, and enterprise tech sponsor it regularly. For detailed occupation requirements, see the O*NET profile.
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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 222+ 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 Visa Sponsorship as a Data Infrastructure Engineer
Target employers with established H-1B filing histories
Large tech companies and cloud providers file H-1B petitions for data infrastructure roles consistently. Focusing on employers with multi-year sponsorship track records significantly reduces the risk of an offer falling through mid-process.
Align your degree field to the job description
USCIS requires a direct relationship between your degree and the role. A computer science or information systems degree maps cleanly. If your degree is in a related but adjacent field, gather documentation showing the coursework connection early.
Understand where you fit in the H-1B lottery
If you hold a U.S. master's degree in a qualifying field, you're entered into a separate pool with better selection odds. Cap-exempt employers, including certain nonprofits and universities, let you bypass the lottery entirely.
Time your job search around the H-1B filing window
H-1B petitions are filed in April for an October 1 start date. Starting your search in late fall or winter gives employers enough runway to sponsor you before the registration window opens in March.
Be specific about your technical scope on your resume
USCIS scrutinizes specialty occupation claims. Clearly listing infrastructure tools, cloud platforms, and data pipeline technologies you've worked with strengthens the employer's petition and reduces the likelihood of a Request for Evidence.
Browse open roles on Migrate Mate before approaching employers
Not every company that hires data infrastructure engineers will sponsor visas. Migrate Mate filters for verified sponsoring employers, so you spend time applying to roles where sponsorship is already confirmed rather than guessing.
Data Infrastructure Engineer jobs are hiring across the US. Find yours.
Find Data Infrastructure Engineer JobsFrequently Asked Questions
Does a Data Infrastructure Engineer role qualify for H-1B sponsorship?
Yes. Data Infrastructure Engineer is a specialty occupation under USCIS standards because it typically requires a bachelor's degree or higher in computer science, information systems, or a closely related field. Employers must demonstrate the degree requirement is standard for the position, which is straightforward for most infrastructure engineering roles at technology companies.
What degree do I need to get sponsored as a Data Infrastructure Engineer?
A bachelor's degree in computer science, information systems, electrical engineering, or a related technical field is the standard baseline. Some employers accept degrees in mathematics or physics with sufficient relevant coursework. USCIS also recognizes three years of specialized work experience as a substitute for each year of missing formal education, though a direct degree match makes the petition significantly cleaner.
Do Data Infrastructure Engineer roles have good H-1B approval rates?
Software and infrastructure engineering roles consistently see approval rates above 85% in recent USCIS data, making them among the more favorable categories for sponsorship. Denials in this space typically stem from weak specialty occupation arguments in the petition, not the role itself. Working with an employer who uses experienced immigration counsel matters more than the job title alone.
Can I get sponsored for a Data Infrastructure role if I'm currently on OPT or STEM OPT?
Yes, and STEM OPT is a common bridge for this role. Data infrastructure positions generally qualify for the 24-month STEM OPT extension because they fall under CIP codes in computer science and information technology. Your employer must be E-Verify enrolled for STEM OPT, and you'll need to transition to H-1B status before your OPT authorization expires.
How do I find Data Infrastructure Engineer jobs that actually offer visa sponsorship?
Most job postings don't clearly indicate whether sponsorship is available, which wastes significant time during an already stressful search. Migrate Mate curates and verifies sponsoring employers specifically for visa-dependent candidates, so every role on the platform is one where sponsorship has been confirmed. Filtering by role type on Migrate Mate is the most direct way to find verified opportunities.
What is the prevailing wage requirement for sponsored Data Infrastructure Engineer jobs?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.
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