Data Analytics Engineer Jobs at Snorkel AI with Visa Sponsorship
Snorkel AI hires Data Analytics Engineers to build and maintain data pipelines that power AI training workflows. The company has an established process for sponsoring work visas for this function, making it a realistic target if you need H-1B, F-1 OPT, or TN sponsorship to work in the U.S.
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Get Access To All JobsAbout Snorkel
At Snorkel, we believe meaningful AI doesn’t start with the model, it starts with the data.
We’re on a mission to help enterprises transform expert knowledge into specialized AI at scale. The AI landscape has gone through incredible changes between 2015, when Snorkel started as a research project in the Stanford AI Lab, to the generative AI breakthroughs of today. But one thing has remained constant: the data you use to build AI is the key to achieving differentiation, high performance, and production-ready systems. We work with some of the world’s largest organizations to empower scientists, engineers, financial experts, product creators, journalists, and more to build custom AI with their data faster than ever before. Excited to help us redefine how AI is built? Apply to be the newest Snorkeler!
About the Team
We are looking for a Senior AI/ML Engineer to add to our AI Platform team. This is a role for someone who wants to operate at the nexus of distributed systems, LLM infrastructure, synthetic data, and agentic orchestration. Our platform enables an ecosystem of expert contributors to create the datasets and evaluation environments that frontier models rely on to improve. We combine a decade of academic research with production-grade engineering to help customers build differentiated, high-performance AI systems faster than ever before.
About the Role
- Architect the core platform that powers synthetic data generation, agentic workflows, RL environments, and scalable LLM operations
- Design and evolve the APIs, compute services, and orchestration layers that empower internal and customer-facing applications
- Generate and refine synthetic data at massive scale
- Create and evaluate agentic systems that reason, act, and improve over time
- Provision RL training environments and simulation frameworks for next-generation AI agents
- Deploy robust benchmarks, datasets, and automated labeling pipelines to accelerate model development
- Run LLMs and multi-agent systems efficiently, reliably, and cost-effectively across cloud and hybrid environments
- Work a hybrid schedule with three days per week in our Redwood City HQ or the SF office.
About You
- 6+ years of experience building customer-facing, cloud-native software systems
- Deep experience with AI/ML pipelines, LLM-based systems, or agentic workflows
- Experience with distributed computing, large-scale data systems, or orchestration frameworks
- Experience at high-growth technology startups
- Experience building software products for large enterprise customers
- Expertise in Python and cloud platforms (AWS, GCP, or Azure)
- Strong understanding of production web-scale systems: monitoring, telemetry, reliability, performance, debugging, and triage
Salary Range
- Salary Range: $192,000—$240,000 USD
Be Your Best at Snorkel
Joining Snorkel AI means becoming part of a company that has market proven solutions, robust funding, and is scaling rapidly—offering a unique combination of stability and the excitement of high growth. As a member of our team, you’ll have meaningful opportunities to shape priorities and initiatives, influence key strategic decisions, and directly impact our ongoing success. Whether you’re looking to deepen your technical expertise, explore leadership opportunities, or learn new skills across multiple functions, you’re fully supported in building your career in an environment designed for growth, learning, and shared success.
Snorkel AI is proud to be an Equal Employment Opportunity employer and is committed to building a team that represents a variety of backgrounds, perspectives, and skills. Snorkel AI embraces diversity and provides equal employment opportunities to all employees and applicants for employment. Snorkel AI prohibits discrimination and harassment of any type on the basis of 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 law. All employment is decided on the basis of qualifications, performance, merit, and business need.
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
About Snorkel
At Snorkel, we believe meaningful AI doesn’t start with the model, it starts with the data.
We’re on a mission to help enterprises transform expert knowledge into specialized AI at scale. The AI landscape has gone through incredible changes between 2015, when Snorkel started as a research project in the Stanford AI Lab, to the generative AI breakthroughs of today. But one thing has remained constant: the data you use to build AI is the key to achieving differentiation, high performance, and production-ready systems. We work with some of the world’s largest organizations to empower scientists, engineers, financial experts, product creators, journalists, and more to build custom AI with their data faster than ever before. Excited to help us redefine how AI is built? Apply to be the newest Snorkeler!
About the Team
We are looking for a Senior AI/ML Engineer to add to our AI Platform team. This is a role for someone who wants to operate at the nexus of distributed systems, LLM infrastructure, synthetic data, and agentic orchestration. Our platform enables an ecosystem of expert contributors to create the datasets and evaluation environments that frontier models rely on to improve. We combine a decade of academic research with production-grade engineering to help customers build differentiated, high-performance AI systems faster than ever before.
About the Role
- Architect the core platform that powers synthetic data generation, agentic workflows, RL environments, and scalable LLM operations
- Design and evolve the APIs, compute services, and orchestration layers that empower internal and customer-facing applications
- Generate and refine synthetic data at massive scale
- Create and evaluate agentic systems that reason, act, and improve over time
- Provision RL training environments and simulation frameworks for next-generation AI agents
- Deploy robust benchmarks, datasets, and automated labeling pipelines to accelerate model development
- Run LLMs and multi-agent systems efficiently, reliably, and cost-effectively across cloud and hybrid environments
- Work a hybrid schedule with three days per week in our Redwood City HQ or the SF office.
About You
- 6+ years of experience building customer-facing, cloud-native software systems
- Deep experience with AI/ML pipelines, LLM-based systems, or agentic workflows
- Experience with distributed computing, large-scale data systems, or orchestration frameworks
- Experience at high-growth technology startups
- Experience building software products for large enterprise customers
- Expertise in Python and cloud platforms (AWS, GCP, or Azure)
- Strong understanding of production web-scale systems: monitoring, telemetry, reliability, performance, debugging, and triage
Salary Range
- Salary Range: $192,000—$240,000 USD
Be Your Best at Snorkel
Joining Snorkel AI means becoming part of a company that has market proven solutions, robust funding, and is scaling rapidly—offering a unique combination of stability and the excitement of high growth. As a member of our team, you’ll have meaningful opportunities to shape priorities and initiatives, influence key strategic decisions, and directly impact our ongoing success. Whether you’re looking to deepen your technical expertise, explore leadership opportunities, or learn new skills across multiple functions, you’re fully supported in building your career in an environment designed for growth, learning, and shared success.
Snorkel AI is proud to be an Equal Employment Opportunity employer and is committed to building a team that represents a variety of backgrounds, perspectives, and skills. Snorkel AI embraces diversity and provides equal employment opportunities to all employees and applicants for employment. Snorkel AI prohibits discrimination and harassment of any type on the basis of 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 law. All employment is decided on the basis of qualifications, performance, merit, and business need.
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
See all 28+ Data Analytics Engineer at Snorkel AI jobs
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Get Access To All JobsTips for Finding Data Analytics Engineer Jobs at Snorkel AI Jobs
Tailor your portfolio to AI data pipelines
Snorkel AI works at the intersection of data engineering and machine learning infrastructure. Highlight projects involving data labeling pipelines, feature stores, or large-scale ETL workflows that directly feed model training, not just general analytics dashboards.
Address sponsorship directly in your cover letter
At AI infrastructure companies like Snorkel AI, hiring managers evaluate sponsorship feasibility early. State your current status and authorization type clearly upfront so recruiters can route you correctly rather than discovering your situation late in the process.
Align your skills with USCIS specialty occupation standards
Data Analytics Engineer roles at tech companies can face H-1B specialty occupation scrutiny. Emphasize that your position requires a degree in computer science, data engineering, or a closely related field, not just general technical proficiency.
Find open roles using Migrate Mate
Snorkel AI lists Data Analytics Engineer openings that come with verified sponsorship support. Search Migrate Mate to filter specifically for Snorkel AI roles with H-1B or OPT sponsorship confirmed, saving time you'd otherwise spend verifying eligibility manually.
Data Analytics Engineer at Snorkel AI jobs are hiring across the US. Find yours.
Find Data Analytics Engineer at Snorkel AI JobsFrequently Asked Questions
Does Snorkel AI sponsor H-1B visas for Data Analytics Engineers?
Yes, Snorkel AI sponsors H-1B visas for Data Analytics Engineer roles. The company has an active sponsorship track record for this function, which means the process is familiar to their HR and legal teams. You should confirm your current status and timeline with the recruiter early, since H-1B cap-subject filings have an April 1 deadline for an October 1 start date.
Which visa types does Snorkel AI sponsor for Data Analytics Engineer roles?
Snorkel AI sponsors H-1B, F-1 OPT, and TN visas for Data Analytics Engineer positions. F-1 OPT holders, including those on a 24-month STEM extension, are commonly hired into this role. TN status applies if you're a Canadian or Mexican national working in a qualifying professional category, which data engineering roles typically satisfy under the USMCA occupations list.
How do I apply for Data Analytics Engineer jobs at Snorkel AI?
You can browse and apply for Data Analytics Engineer positions at Snorkel AI through Migrate Mate, which lists open roles with confirmed sponsorship details in one place. When you apply, clearly state your visa status and whether you need sponsorship now or in the future. Snorkel AI's recruiting process for technical roles typically includes a skills screen, take-home or live coding assessment focused on data pipelines, and multiple technical interviews.
What qualifications does Snorkel AI expect for Data Analytics Engineer roles?
Snorkel AI's Data Analytics Engineer roles typically require a bachelor's degree or higher in computer science, data engineering, statistics, or a related field. Hands-on experience with SQL, Python, and distributed data systems like Spark or dbt is expected. Because Snorkel AI builds AI data infrastructure, familiarity with data labeling workflows, model training pipelines, or MLOps tooling gives your application a strong advantage over candidates with general analytics backgrounds.
How do I handle the H-1B timeline if I receive an offer from Snorkel AI while on OPT?
If you're on F-1 OPT when you receive your offer, Snorkel AI would need to file your H-1B petition during the annual cap registration window, which opens in March for a lottery drawing. If selected, USCIS allows filing from April 1 for an October 1 start. Cap-gap protection automatically extends your OPT authorization if it expires between April and September, provided your employer files on time.
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