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.
Find Data Infrastructure Engineer JobsOverview
Showing 5 of 1,897+ Data Infrastructure Engineer jobs
See all 1,897+ 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 JobsINTRODUCTION
At Klaviyo, we value the unique backgrounds, experiences and perspectives each Klaviyo (we call ourselves Klaviyos) brings to our workplace each and every day. We believe everyone deserves a fair shot at success and appreciate the experiences each person brings beyond the traditional job requirements. If you're a close but not exact match with the description, we hope you'll still consider applying. Want to learn more about life at Klaviyo? Visit klaviyo.com/careers to see how we empower creators to own their own destiny.
ABOUT THE ROLE
Own the technical direction and delivery for Klaviyo's data platform - streaming, batch compute, storage/lakehouse, and governance - now the foundation for autonomous, agent-driven experiences. Klaviyo's data platform processes billions of events daily across billions of consumer profiles for hundreds of thousands of brands, and increasingly that data is consumed not just by people but by a growing number of AI agents acting on customers' behalf. The footprint grows on two axes at once, ever-larger data volumes and a steady stream of new data scenarios (new sources, domains, and consumption patterns) and your systems have to scale on both.
You'll design and ship systems that are fast, reliable, cost-efficient, and safe for autonomous access, creating paved roads for data producers and consumers, human and agent alike. This is an individual-contributor role (no direct reports); you lead through architecture, code, and influence. Expectations align to Lead/Principal IC behaviors: establishing SLOs, driving technical evolution, and acting as the interface across teams.
- Design and implement core data platform capabilities (e.g., event ingestion/CDC, stream processing, batch orchestration, data lake/warehouse patterns, catalog/lineage, governance, access, and compliance).
- Define and uphold SLOs for data freshness, availability, and correctness; author/run readiness reviews, incident response, and post-incident learning for your domain.
- Author ADRs/RFCs, land data contracts and schema governance, and standardize connectors and templates that accelerate developer velocity.
- Profile, tune, and right-size systems for performance and cost; partner with FinOps on unit-economics guardrails.
- Pair with product teams and analytics/ML to expose the right abstractions and unblock customer value quickly.
- Contribute high-quality code and reviews; mentor Staff/ Sr. engineers across pillars through example and enablement (not line management).
- Use AI to streamline data workflows, from authoring and testing pipelines to catalog/search and DQ, so analysts, ML, and product teams move faster with confidence.
Who You Are
- Experience: 10+ years building and operating distributed data systems (e.g., Kafka/PubSub, Flink/Spark/Beam, Airflow/Dagster, Iceberg/Delta/Hudi; Snowflake/BigQuery; object storage) with multi-tenant reliability.
- Technical expertise: Data ingestion/CDC, stream processing, batch orchestration, lakehouse patterns, catalog/lineage, governance, and access controls, measured by freshness, availability, and correctness SLOs.
- AI tools & automation: You apply ML/GenAI to data platforms - semantic catalog search, auto-docs, data-quality anomaly detection, SQL/pipeline generation - with human-in-the-loop review and privacy controls.
- Influence & enablement: You land data contracts, connectors, and templates that speed delivery for producers and consumers; you mentor via design docs and pairing.
- AI fluency (Klaviyo default): You experiment, learn fast, and share AI wins responsibly.
Nice to Haves
- Regional isolation/replication strategies, privacy-by-design, and data governance in regulated contexts.
- Adopted paved roads: Producers/consumers are on standard ingestion, processing, and storage paths; schema governance and contracts reduce breakage.
- SLOs & efficiency: 99.9% freshness for key domains; measurable cost/TB reductions; production debugging is faster with defined readiness reviews and incident learning.
- AI-augmented data operations: Semantic discovery and auto-documentation cover the majority of high-value datasets; AI-assisted DQ monitors reduce data incidents on top pipelines by 25–40%; pipeline authoring and review times drop 15–25% with AI in the loop.
Success in 6 - 12 Months
- Adopted "paved roads" for producers/consumers; 99.9% freshness SLO for key domains; measurable cost/TB reductions.
- One or more step-change improvements (e.g., 2× faster ingest analytics latency) demonstrated with metrics and post-incident trend-down.
This role may require up to 10% travel for purposes such as new hire onboarding, client or partner work if applicable, team meetings, and industry events. Travel is coordinated in advance.
Get to Know Klaviyo
We're Klaviyo (pronounced clay-vee-oh). We empower creators to own their destiny by making first-party data accessible and actionable like never before. We see limitless potential for the technology we're developing to nurture personalized experiences in ecommerce and beyond. To reach our goals, we need our own crew of remarkable creators—ambitious and collaborative teammates who stay focused on our north star: delighting our customers. If you're ready to do the best work of your career, where you'll be welcomed as your whole self from day one and supported with generous benefits, we hope you'll join us.
AI fluency at Klaviyo includes responsible use of AI (including privacy, security, bias awareness, and human-in-the-loop). We provide accommodations as needed.
By participating in Klaviyo's interview process, you acknowledge that you have read, understood, and will adhere to our Guidelines for using AI in the Klaviyo interview Process. For more information about how we process your personal data, see our Job Applicant Privacy Notice.
Klaviyo is committed to a policy of equal opportunity and non-discrimination. We do not discriminate on the basis of race, ethnicity, citizenship, national origin, color, religion or religious creed, age, sex (including pregnancy), gender identity, sexual orientation, physical or mental disability, veteran or active military status, marital status, criminal record, genetics, retaliation, sexual harassment or any other characteristic protected by applicable law.
IMPORTANT NOTICE: Our company takes the security and privacy of job applicants very seriously. We will never ask for payment, bank details, or personal financial information as part of the application process. All our legitimate job postings can be found on our official career site. Please be cautious of job offers that come from non-company email addresses (@klaviyo.com), instant messaging platforms, or unsolicited calls.
By clicking "Submit Application" you consent to Klaviyo processing your Personal Data in accordance with our Job Applicant Privacy Notice. If you do not wish for Klaviyo to process your Personal Data, please do not submit an application. You can find our Job Applicant Privacy Notice here and here (FR).
INTRODUCTION
At Klaviyo, we value the unique backgrounds, experiences and perspectives each Klaviyo (we call ourselves Klaviyos) brings to our workplace each and every day. We believe everyone deserves a fair shot at success and appreciate the experiences each person brings beyond the traditional job requirements. If you're a close but not exact match with the description, we hope you'll still consider applying. Want to learn more about life at Klaviyo? Visit klaviyo.com/careers to see how we empower creators to own their own destiny.
ABOUT THE ROLE
Own the technical direction and delivery for Klaviyo's data platform - streaming, batch compute, storage/lakehouse, and governance - now the foundation for autonomous, agent-driven experiences. Klaviyo's data platform processes billions of events daily across billions of consumer profiles for hundreds of thousands of brands, and increasingly that data is consumed not just by people but by a growing number of AI agents acting on customers' behalf. The footprint grows on two axes at once, ever-larger data volumes and a steady stream of new data scenarios (new sources, domains, and consumption patterns) and your systems have to scale on both.
You'll design and ship systems that are fast, reliable, cost-efficient, and safe for autonomous access, creating paved roads for data producers and consumers, human and agent alike. This is an individual-contributor role (no direct reports); you lead through architecture, code, and influence. Expectations align to Lead/Principal IC behaviors: establishing SLOs, driving technical evolution, and acting as the interface across teams.
- Design and implement core data platform capabilities (e.g., event ingestion/CDC, stream processing, batch orchestration, data lake/warehouse patterns, catalog/lineage, governance, access, and compliance).
- Define and uphold SLOs for data freshness, availability, and correctness; author/run readiness reviews, incident response, and post-incident learning for your domain.
- Author ADRs/RFCs, land data contracts and schema governance, and standardize connectors and templates that accelerate developer velocity.
- Profile, tune, and right-size systems for performance and cost; partner with FinOps on unit-economics guardrails.
- Pair with product teams and analytics/ML to expose the right abstractions and unblock customer value quickly.
- Contribute high-quality code and reviews; mentor Staff/ Sr. engineers across pillars through example and enablement (not line management).
- Use AI to streamline data workflows, from authoring and testing pipelines to catalog/search and DQ, so analysts, ML, and product teams move faster with confidence.
Who You Are
- Experience: 10+ years building and operating distributed data systems (e.g., Kafka/PubSub, Flink/Spark/Beam, Airflow/Dagster, Iceberg/Delta/Hudi; Snowflake/BigQuery; object storage) with multi-tenant reliability.
- Technical expertise: Data ingestion/CDC, stream processing, batch orchestration, lakehouse patterns, catalog/lineage, governance, and access controls, measured by freshness, availability, and correctness SLOs.
- AI tools & automation: You apply ML/GenAI to data platforms - semantic catalog search, auto-docs, data-quality anomaly detection, SQL/pipeline generation - with human-in-the-loop review and privacy controls.
- Influence & enablement: You land data contracts, connectors, and templates that speed delivery for producers and consumers; you mentor via design docs and pairing.
- AI fluency (Klaviyo default): You experiment, learn fast, and share AI wins responsibly.
Nice to Haves
- Regional isolation/replication strategies, privacy-by-design, and data governance in regulated contexts.
- Adopted paved roads: Producers/consumers are on standard ingestion, processing, and storage paths; schema governance and contracts reduce breakage.
- SLOs & efficiency: 99.9% freshness for key domains; measurable cost/TB reductions; production debugging is faster with defined readiness reviews and incident learning.
- AI-augmented data operations: Semantic discovery and auto-documentation cover the majority of high-value datasets; AI-assisted DQ monitors reduce data incidents on top pipelines by 25–40%; pipeline authoring and review times drop 15–25% with AI in the loop.
Success in 6 - 12 Months
- Adopted "paved roads" for producers/consumers; 99.9% freshness SLO for key domains; measurable cost/TB reductions.
- One or more step-change improvements (e.g., 2× faster ingest analytics latency) demonstrated with metrics and post-incident trend-down.
This role may require up to 10% travel for purposes such as new hire onboarding, client or partner work if applicable, team meetings, and industry events. Travel is coordinated in advance.
Get to Know Klaviyo
We're Klaviyo (pronounced clay-vee-oh). We empower creators to own their destiny by making first-party data accessible and actionable like never before. We see limitless potential for the technology we're developing to nurture personalized experiences in ecommerce and beyond. To reach our goals, we need our own crew of remarkable creators—ambitious and collaborative teammates who stay focused on our north star: delighting our customers. If you're ready to do the best work of your career, where you'll be welcomed as your whole self from day one and supported with generous benefits, we hope you'll join us.
AI fluency at Klaviyo includes responsible use of AI (including privacy, security, bias awareness, and human-in-the-loop). We provide accommodations as needed.
By participating in Klaviyo's interview process, you acknowledge that you have read, understood, and will adhere to our Guidelines for using AI in the Klaviyo interview Process. For more information about how we process your personal data, see our Job Applicant Privacy Notice.
Klaviyo is committed to a policy of equal opportunity and non-discrimination. We do not discriminate on the basis of race, ethnicity, citizenship, national origin, color, religion or religious creed, age, sex (including pregnancy), gender identity, sexual orientation, physical or mental disability, veteran or active military status, marital status, criminal record, genetics, retaliation, sexual harassment or any other characteristic protected by applicable law.
IMPORTANT NOTICE: Our company takes the security and privacy of job applicants very seriously. We will never ask for payment, bank details, or personal financial information as part of the application process. All our legitimate job postings can be found on our official career site. Please be cautious of job offers that come from non-company email addresses (@klaviyo.com), instant messaging platforms, or unsolicited calls.
By clicking "Submit Application" you consent to Klaviyo processing your Personal Data in accordance with our Job Applicant Privacy Notice. If you do not wish for Klaviyo to process your Personal Data, please do not submit an application. You can find our Job Applicant Privacy Notice here and here (FR).
See all 1,897+ 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.
Frequently 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 visa 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.