H-1B Visa Data Infrastructure Engineer Jobs
Data Infrastructure Engineer roles rank among the most actively sponsored H-1B positions, with employers filing LCAs under SOC codes tied to database architecture, pipeline engineering, and distributed systems. Sponsorship is common at tech companies, financial institutions, and cloud-native startups that depend on scalable data infrastructure to operate.
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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 166+ 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 H-1B Visa Sponsorship as a Data Infrastructure Engineer
Match your resume to LCA job titles
DOL LCA filings use specific job titles that may differ from how you describe your work. Align your resume to titles like Data Infrastructure Engineer or Data Platform Engineer to surface in employer H-1B searches and pass specialty occupation review.
Use OFLC Wage Search before negotiating
Pull the prevailing wage for your target SOC code and metro area using the OFLC Wage Search before any offer conversation. Your H-1B petition requires your salary to meet or exceed this figure, so knowing it upfront prevents offer-stage complications.
Filter employers by active LCA filing history
Search Migrate Mate to identify companies with verified LCA filings for data infrastructure roles. This filters out employers who express sponsorship willingness but have no documented filing history, saving you weeks in the interview process.
Verify your role qualifies as specialty occupation
USCIS requires that your position normally requires a bachelor's degree or higher in a directly related field. Review the O*NET profile for your SOC code before accepting an offer to confirm the job zone and education requirements support a specialty occupation determination.
Data Infrastructure Engineer jobs are hiring across the US. Find yours.
Find Data Infrastructure Engineer JobsData Infrastructure Engineer H-1B Visa: Frequently Asked Questions
Do Data Infrastructure Engineer roles qualify as a specialty occupation for H-1B purposes?
Yes, in most cases. USCIS looks for roles that normally require at least a bachelor's degree in a directly related field such as computer science, information systems, or engineering. Data infrastructure roles typically meet this threshold because the work involves systems architecture and distributed computing that presupposes specialized academic training. Check the O*NET profile for your specific SOC code to confirm the job zone classification before your employer files.
Which industries sponsor H-1B visas most often for data infrastructure roles?
Technology companies, financial services firms, and large e-commerce platforms file the highest volume of H-1B LCAs for data infrastructure positions. Cloud infrastructure providers and data-intensive startups also sponsor regularly. You can browse employers with verified LCA filing history for these roles directly on Migrate Mate, which surfaces DOL disclosure data so you can target companies with a demonstrated sponsorship track record.
Can I switch employers mid-H-1B if I get a better data infrastructure offer?
Yes, H-1B portability under AC21 lets you change employers once your petition has been pending for 180 days or has been approved, as long as the new role is in the same or a similar occupational classification. Your new employer must file an H-1B transfer petition before your current status expires. Data infrastructure roles generally port cleanly as long as the new job duties remain within the same SOC code family.
What does the H-1B employer filing process look like for a data infrastructure role?
Your employer first files a Labor Condition Application with DOL certifying that your wage meets the prevailing rate for your SOC code and work location. Once the LCA is certified, typically within seven business days, they file Form I-129 with USCIS. For cap-subject petitions, the employer must also complete the online H-1B registration in March before filing. Premium processing is available if you need a decision within 15 business days.
How specific should my job title be on an H-1B petition for a data infrastructure role?
The job title on the LCA and I-129 should reflect what you actually do, not an aspirational or simplified label. Titles like Data Infrastructure Engineer, Data Platform Engineer, or Site Reliability Engineer can all support a specialty occupation finding, but the duties described must match the title. Vague titles paired with broad duty descriptions invite Requests for Evidence from USCIS, so precision in both the title and the job description matters.
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