AI Data Engineer Jobs at Snowflake with Visa Sponsorship
Snowflake builds its AI and data engineering teams around deep technical fluency in cloud-native platforms, and the company has a consistent track record of sponsoring work visas for qualified engineers in this function. If you're targeting an AI Data Engineer role here, sponsorship is a realistic part of the conversation.
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INTRODUCTION
Snowflake is about empowering enterprises to achieve their full potential — and people too. With a culture that’s all in on impact, innovation, and collaboration, Snowflake is the sweet spot for building big, moving fast, and taking technology — and careers — to the next level. Snowflake is about empowering enterprises to achieve their full potential and people too. With a culture that’s all in on impact, innovation, and collaboration, Snowflake is the sweet spot for building big, moving fast, and taking technology and careers to the next level.
ABOUT THE ROLE
The Cortex Code team is building the future of coding agents for working with data. See our flagship product in action: Cortex Code in Action: Live Demos + AMA. As a Staff AI Engineer on Cortex Code Quality, you will help define architect agent behavior at enterprise scale by building the agentic systems and methodology that make our users build cutting-edge agentic systems that are efficient, repeatable, auditable, and shippable. You’ll partner with modeling, platform, and product leadership to turn customer pain into golden scenarios, metrics, and experiment loops that the whole team can trust.
YOUR ROLE AND RESPONSIBILITIES
What you will do in this role:
- Agent strategy & systems: Own major pillars of the quality stack: tuning agent behavior to engage on next generation agentic coding tasks.
- Hill-climb infrastructure: Design and evolve pipelines and tooling that support large-scale experimentation, error mining, and iteration on prompts/tools/workflows with clear before/after signals.
- Deep analysis & prioritization: Lead postmortems on quality regressions; cluster failure modes; translate findings into a prioritized roadmap for engineering and modeling partners.
- Cross-functional leadership: Align product, infra, and applied AI on what “good” means for critical customer workflows; mentor engineers and uplevel eval craft across the team.
- Production-minded rigor: Ensure quality systems are dependable in practice—reproducible runs, stable datasets, versioning, and operational clarity when things drift.
BASIC QUALIFICATIONS
- Bachelor’s degree in Computer Science, Engineering, Statistics, or a related field. Master’s or higher preferred but not a requirement.
- 8+ years of experience shipping AI/ML-backed software in production, including Staff-level ownership of technical direction, cross-team delivery, and mentoring.
- Strong track record building and operating eval harnesses, measurement, and/or experimentation loops for LLM/agent systems—not only one-off benchmarks.
- Proficiency in programming languages such as Python, TypeScript, Go (strong in at least two).
- Exceptional communication skills: crisp writeups, constructive debate, and ability to influence without authority across engineering and product.
- (Optional) Experience with data engineering pipelines (dbt, Airflow), data modeling, data analysis, retrieval systems, and semantic layers is a plus.
PREFERRED QUALIFICATIONS
- Deep experience with agentic coding tools (IDE agents, CLI agents) and intuition for model strengths, failure modes, and prompting limits.
- Background in data engineering (dbt, Airflow), analytics, retrieval / RAG, or semantic layers—highly relevant for data-centric coding agents.
- Prior work on LLM observability, safety/guardrails, or quality systems used as release gates in production.
You may be a particularly good fit if you:
- Have built and owned complex quality + data pipelines—substantial state, branching logic, and operational requirements.
- Thrive in high-intensity environments with short feedback loops and high standards for rigor.
- Take ambiguous “quality is slipping” problems to completion: you care about clear metrics, reproducibility, and sustained improvement—not one-off score bumps.
- Are a power user of modern coding agents and care about turning intuition into systematic measurement and team-wide practice.
ABOUT SNOWFLAKE
Snowflake is the AI Data Cloud trusted by the world's most innovative companies. We're shipping production-ready AI applications at scale and want you to join us in building the future of how businesses interact with their data through Cortex Code, Cortex agents, Cortex analyst, Cortex search. Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake.
COMPENSATION
The following represents the expected range of compensation for this role:
- The estimated base salary range for this role is $236,000 - $339,200.
- Additionally, this role is eligible to participate in Snowflake’s bonus and equity plan. The successful candidate’s starting salary will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location.
This role is also eligible for a competitive benefits package that includes:
- medical, dental, vision, life, and disability insurance;
- 401(k) retirement plan;
- flexible spending & health savings account;
- at least 12 paid holidays;
- paid time off;
- parental leave;
- employee assistance program;
- and other company benefits.
To comply with pay transparency requirements and other statutes, you can notify us if you believe that a job posting is not compliant by completing this form.

INTRODUCTION
Snowflake is about empowering enterprises to achieve their full potential — and people too. With a culture that’s all in on impact, innovation, and collaboration, Snowflake is the sweet spot for building big, moving fast, and taking technology — and careers — to the next level. Snowflake is about empowering enterprises to achieve their full potential and people too. With a culture that’s all in on impact, innovation, and collaboration, Snowflake is the sweet spot for building big, moving fast, and taking technology and careers to the next level.
ABOUT THE ROLE
The Cortex Code team is building the future of coding agents for working with data. See our flagship product in action: Cortex Code in Action: Live Demos + AMA. As a Staff AI Engineer on Cortex Code Quality, you will help define architect agent behavior at enterprise scale by building the agentic systems and methodology that make our users build cutting-edge agentic systems that are efficient, repeatable, auditable, and shippable. You’ll partner with modeling, platform, and product leadership to turn customer pain into golden scenarios, metrics, and experiment loops that the whole team can trust.
YOUR ROLE AND RESPONSIBILITIES
What you will do in this role:
- Agent strategy & systems: Own major pillars of the quality stack: tuning agent behavior to engage on next generation agentic coding tasks.
- Hill-climb infrastructure: Design and evolve pipelines and tooling that support large-scale experimentation, error mining, and iteration on prompts/tools/workflows with clear before/after signals.
- Deep analysis & prioritization: Lead postmortems on quality regressions; cluster failure modes; translate findings into a prioritized roadmap for engineering and modeling partners.
- Cross-functional leadership: Align product, infra, and applied AI on what “good” means for critical customer workflows; mentor engineers and uplevel eval craft across the team.
- Production-minded rigor: Ensure quality systems are dependable in practice—reproducible runs, stable datasets, versioning, and operational clarity when things drift.
BASIC QUALIFICATIONS
- Bachelor’s degree in Computer Science, Engineering, Statistics, or a related field. Master’s or higher preferred but not a requirement.
- 8+ years of experience shipping AI/ML-backed software in production, including Staff-level ownership of technical direction, cross-team delivery, and mentoring.
- Strong track record building and operating eval harnesses, measurement, and/or experimentation loops for LLM/agent systems—not only one-off benchmarks.
- Proficiency in programming languages such as Python, TypeScript, Go (strong in at least two).
- Exceptional communication skills: crisp writeups, constructive debate, and ability to influence without authority across engineering and product.
- (Optional) Experience with data engineering pipelines (dbt, Airflow), data modeling, data analysis, retrieval systems, and semantic layers is a plus.
PREFERRED QUALIFICATIONS
- Deep experience with agentic coding tools (IDE agents, CLI agents) and intuition for model strengths, failure modes, and prompting limits.
- Background in data engineering (dbt, Airflow), analytics, retrieval / RAG, or semantic layers—highly relevant for data-centric coding agents.
- Prior work on LLM observability, safety/guardrails, or quality systems used as release gates in production.
You may be a particularly good fit if you:
- Have built and owned complex quality + data pipelines—substantial state, branching logic, and operational requirements.
- Thrive in high-intensity environments with short feedback loops and high standards for rigor.
- Take ambiguous “quality is slipping” problems to completion: you care about clear metrics, reproducibility, and sustained improvement—not one-off score bumps.
- Are a power user of modern coding agents and care about turning intuition into systematic measurement and team-wide practice.
ABOUT SNOWFLAKE
Snowflake is the AI Data Cloud trusted by the world's most innovative companies. We're shipping production-ready AI applications at scale and want you to join us in building the future of how businesses interact with their data through Cortex Code, Cortex agents, Cortex analyst, Cortex search. Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake.
COMPENSATION
The following represents the expected range of compensation for this role:
- The estimated base salary range for this role is $236,000 - $339,200.
- Additionally, this role is eligible to participate in Snowflake’s bonus and equity plan. The successful candidate’s starting salary will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location.
This role is also eligible for a competitive benefits package that includes:
- medical, dental, vision, life, and disability insurance;
- 401(k) retirement plan;
- flexible spending & health savings account;
- at least 12 paid holidays;
- paid time off;
- parental leave;
- employee assistance program;
- and other company benefits.
To comply with pay transparency requirements and other statutes, you can notify us if you believe that a job posting is not compliant by completing this form.
See all 25+ AI Data Engineer at Snowflake jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new AI Data Engineer at Snowflake roles.
Get Access To All JobsTips for Finding AI Data Engineer Jobs at Snowflake Jobs
Align your portfolio to Snowflake's data stack
Snowflake prioritizes engineers with hands-on experience in their own platform, dbt, and orchestration tools like Airflow. Before applying, build projects that demonstrate Snowpark, dynamic tables, or LLM-integrated pipelines using Snowflake's native AI features.
Target Snowflake's enterprise data products teams
AI Data Engineer openings at Snowflake cluster around product areas like Cortex AI and Data Cloud infrastructure. Filtering by team or product line in your application lets you tailor your resume to the specific technical context, which meaningfully improves recruiter response rates.
Confirm your visa type matches the role's filing timeline
H-1B cap-subject candidates face the April lottery, which can delay a start date by up to a year. If you're on F-1 OPT with STEM extension eligibility, flag that to your Snowflake recruiter early so the team can plan around your available work authorization window.
Prepare specialty occupation documentation before the offer stage
USCIS requires that H-1B petitions demonstrate the role requires a specific bachelor's degree or higher. For AI Data Engineer positions, gather transcripts, degree equivalency evaluations if your credential is foreign, and a written breakdown of how your coursework maps to the role's technical requirements.
Browse open AI Data Engineer roles on Migrate Mate
Migrate Mate filters Snowflake's current AI Data Engineer postings by visa sponsorship type, so you can identify openings where your specific status, whether H-1B, TN, or OPT, is already supported before investing time in the application.
Understand how TN status works for this role
Canadian and Mexican nationals can enter under TN status for computer systems analyst roles without waiting for a lottery. Verify with your immigration attorney that an AI Data Engineer position at Snowflake fits a recognized TN occupation category before accepting an offer structured around that status.
AI Data Engineer at Snowflake jobs are hiring across the US. Find yours.
Find AI Data Engineer at Snowflake JobsFrequently Asked Questions
Does Snowflake sponsor H-1B visas for AI Data Engineers?
Yes, Snowflake sponsors H-1B visas for AI Data Engineer roles. The company files petitions through the standard USCIS cap process, including the April lottery for cap-subject candidates, and also supports H-1B transfers for engineers already holding valid H-1B status. If you're cap-subject, discuss timing with your recruiter early, since lottery selection affects your potential start date.
Which visa types are commonly used for AI Data Engineer roles at Snowflake?
Snowflake supports several visa categories for this function, including H-1B, F-1 OPT with STEM extension, TN for Canadian and Mexican nationals, J-1, and employment-based Green Card pathways such as EB-2 and EB-3. The right category depends on your nationality, current status, and how far along you are in the application process. F-1 OPT is common for recent graduates entering this role directly from U.S. universities.
How do I apply for AI Data Engineer jobs at Snowflake?
You can find current AI Data Engineer openings at Snowflake through their careers portal or through Migrate Mate, which surfaces Snowflake's visa-sponsored roles in one place. Tailor your application to highlight experience with Snowflake's platform, cloud data architecture, and AI or ML pipeline development. Include specific projects, tools, and outcomes rather than general descriptions of past responsibilities.
What qualifications does Snowflake expect for AI Data Engineer positions?
Snowflake typically looks for a bachelor's degree or higher in computer science, data engineering, or a closely related field, combined with practical experience building and maintaining data pipelines in cloud environments. Proficiency in SQL, Python, and familiarity with Snowflake's own platform, including Snowpark and Cortex AI, is a strong differentiator. Roles at senior levels often require experience integrating LLMs or vector databases into production data workflows.
How do I time my application around H-1B sponsorship at Snowflake?
The H-1B cap lottery opens in March each year, with approved petitions taking effect October 1. If you want Snowflake to file on your behalf, you need an offer in place before March. USCIS premium processing can reduce adjudication to around 15 business days once a petition is filed. If you miss the cap year, F-1 OPT or a cap-exempt filing route may bridge the gap.
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