Data Science Engineer Jobs at Snowflake with Visa Sponsorship
Snowflake hires Data Science Engineers to build and scale the data infrastructure powering its cloud platform, with roles spanning ML pipelines, feature engineering, and large-scale analytics. Snowflake has a consistent track record of sponsoring work visas for this function, making it a realistic target for international candidates.
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At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done.
We are hiring a Senior Data Analytics Engineer for our Data Analytics and AI team. We own Snowflake's internal data platform, powering analytics across Finance, Sales, and HR, and we're looking for someone to help shape what's possible for the teams who rely on it every day.
Location: Menlo Park, CA
Team: Data Analytics and AI
Business Unit: Enterprise Technology
IN THIS ROLE YOU WILL
- Shape the architecture and design principles for Snowflake's internal data platform, owning decisions that affect how data flows, is governed, and accessed across Finance, Sales, HR, and other business-critical functions
- Lead cross-functional data initiatives from problem framing through delivery, aligning stakeholders across Engineering, Analytics, and Business Systems on what to build and why
- Define and enforce RBAC frameworks, row access policies, and masking policies at scale, ensuring the right data reaches the right people with appropriate governance controls
- Drive adoption of AI-assisted data workflows by integrating LLM-powered tools, Cortex Agents, and automation capabilities into the team's data engineering practice
- Set the technical standard for dbt at scale, defining modeling conventions, testing frameworks, and CI/CD practices adopted by the full data team
- Influence without authority across teams by writing architecture docs, technical specs, and stakeholder-facing materials that drive alignment and accelerate delivery
- Identify and resolve systemic data quality, performance, and reliability issues, raising the bar for what "done" looks like on the platform
WHAT YOU WILL NEED
- 8+ years of experience in analytics engineering, data architecture, or related roles, or equivalent experience
- Deep expertise in Snowflake, including advanced data modeling, RBAC design, performance optimization, and the broader feature set (Cortex, Dynamic Tables, Streams, Tasks)
- Expert-level dbt skills (dbt Core and/or dbt Platform), including macro development, testing frameworks, CI/CD integration, and large-scale project management
- Strong proficiency with AI development tools, including LLM-powered workflows, agent frameworks (Cortex Agents, Claude Code, Cortex Code), and prompt engineering for data use cases
- Experience designing and implementing RBAC frameworks at scale, including row access policies, masking policies, and role hierarchies in Snowflake or similar platforms
- Excellent written and verbal communication skills, with a track record of writing clear technical specs, architecture documents, and stakeholder-facing materials
- Demonstrated ability to operate with principal-level scope: driving cross-functional initiatives, influencing without authority, and delivering outcomes across multiple teams
PREFERRED SKILLS:
- Experience working at a technology company with a large-scale internal data platform
- Familiarity with Python for data pipeline development, scripting, and automation
- Experience presenting technical content to external audiences (customers, conferences)
- Experience with Snowflake Cortex AI or GenAI-native data tooling in production environments
WHY JOIN OUR DATA ANALYTICS AND AI TEAM AT SNOWFLAKE
We are the team that owns Snowflake's internal data platform, powering analytics across Finance, Sales, and HR. We're a tight-knit team who move fast and value craftsmanship over process.
How do you want to make your impact?
For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information.
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.
The following represents the expected range of compensation for this role:
- The estimated base salary range for this role is $184,000 - $241,500.
- 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.

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done.
We are hiring a Senior Data Analytics Engineer for our Data Analytics and AI team. We own Snowflake's internal data platform, powering analytics across Finance, Sales, and HR, and we're looking for someone to help shape what's possible for the teams who rely on it every day.
Location: Menlo Park, CA
Team: Data Analytics and AI
Business Unit: Enterprise Technology
IN THIS ROLE YOU WILL
- Shape the architecture and design principles for Snowflake's internal data platform, owning decisions that affect how data flows, is governed, and accessed across Finance, Sales, HR, and other business-critical functions
- Lead cross-functional data initiatives from problem framing through delivery, aligning stakeholders across Engineering, Analytics, and Business Systems on what to build and why
- Define and enforce RBAC frameworks, row access policies, and masking policies at scale, ensuring the right data reaches the right people with appropriate governance controls
- Drive adoption of AI-assisted data workflows by integrating LLM-powered tools, Cortex Agents, and automation capabilities into the team's data engineering practice
- Set the technical standard for dbt at scale, defining modeling conventions, testing frameworks, and CI/CD practices adopted by the full data team
- Influence without authority across teams by writing architecture docs, technical specs, and stakeholder-facing materials that drive alignment and accelerate delivery
- Identify and resolve systemic data quality, performance, and reliability issues, raising the bar for what "done" looks like on the platform
WHAT YOU WILL NEED
- 8+ years of experience in analytics engineering, data architecture, or related roles, or equivalent experience
- Deep expertise in Snowflake, including advanced data modeling, RBAC design, performance optimization, and the broader feature set (Cortex, Dynamic Tables, Streams, Tasks)
- Expert-level dbt skills (dbt Core and/or dbt Platform), including macro development, testing frameworks, CI/CD integration, and large-scale project management
- Strong proficiency with AI development tools, including LLM-powered workflows, agent frameworks (Cortex Agents, Claude Code, Cortex Code), and prompt engineering for data use cases
- Experience designing and implementing RBAC frameworks at scale, including row access policies, masking policies, and role hierarchies in Snowflake or similar platforms
- Excellent written and verbal communication skills, with a track record of writing clear technical specs, architecture documents, and stakeholder-facing materials
- Demonstrated ability to operate with principal-level scope: driving cross-functional initiatives, influencing without authority, and delivering outcomes across multiple teams
PREFERRED SKILLS:
- Experience working at a technology company with a large-scale internal data platform
- Familiarity with Python for data pipeline development, scripting, and automation
- Experience presenting technical content to external audiences (customers, conferences)
- Experience with Snowflake Cortex AI or GenAI-native data tooling in production environments
WHY JOIN OUR DATA ANALYTICS AND AI TEAM AT SNOWFLAKE
We are the team that owns Snowflake's internal data platform, powering analytics across Finance, Sales, and HR. We're a tight-knit team who move fast and value craftsmanship over process.
How do you want to make your impact?
For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information.
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.
The following represents the expected range of compensation for this role:
- The estimated base salary range for this role is $184,000 - $241,500.
- 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 53+ Data Science Engineer at Snowflake jobs
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Get Access To All JobsTips for Finding Data Science Engineer Jobs at Snowflake Jobs
Tailor your ML portfolio to Snowflake's stack
Snowflake Data Science Engineer roles consistently emphasize Snowpark, Python UDFs, and ML model deployment within the cloud data warehouse. Projects demonstrating hands-on experience with these tools position you as job-ready rather than trainable.
Target teams actively building data products
Snowflake's core engineering and data platform teams sponsor visas more routinely than newer or smaller business units. Prioritizing roles tied to data engineering infrastructure or ML platform development increases your chances of landing on a sponsorship-active team.
Confirm LCA filing before signing your offer
Before your H-1B can be filed, your employer must certify a Labor Condition Application with the DOL. Ask Snowflake's recruiting coordinator for the expected LCA filing date so you can accurately plan your start date and any travel outside the U.S.
Use Migrate Mate to filter open roles by visa type
Snowflake posts Data Science Engineer openings across multiple teams simultaneously, making it hard to identify which roles align with your visa situation. Migrate Mate lets you filter Snowflake's listings by sponsored visa type so you focus only on the right opportunities.
Align your OPT or CPT timing with Snowflake's hiring cycles
Snowflake's engineering hiring tends to accelerate in Q1 and Q3. If you're on F-1 OPT, verify your STEM extension eligibility with your DSO early so your work authorization window covers both the offer date and your first 12 months on the job.
Data Science Engineer at Snowflake jobs are hiring across the US. Find yours.
Find Data Science Engineer at Snowflake JobsFrequently Asked Questions
Does Snowflake sponsor H-1B visas for Data Science Engineers?
Yes, Snowflake sponsors H-1B visas for Data Science Engineer roles. The company files petitions through the annual USCIS lottery, which opens in March for an October 1 start date. If you're already on a valid H-1B with another employer, Snowflake can also file an H-1B transfer, which lets you start work as soon as USCIS receives the petition without waiting for the cap.
How do I apply for Data Science Engineer jobs at Snowflake?
Applications go through Snowflake's careers portal, where Data Science Engineer roles are listed by team and location. Before applying, review the job description for stack-specific requirements like Snowpark or distributed systems experience, and tailor your resume accordingly. Migrate Mate also lists Snowflake's open Data Science Engineer roles filtered by visa sponsorship type, which helps you identify the most relevant positions faster.
Which visa types does Snowflake commonly use for Data Science Engineer roles?
Snowflake sponsors several visa categories for Data Science Engineers, including H-1B for most full-time hires, F-1 OPT and STEM OPT for recent graduates, TN for Canadian and Mexican nationals in qualifying roles, and J-1 for research or exchange-based positions. For longer-term employees, Snowflake also supports Green Card sponsorship through the EB-2 and EB-3 employment-based immigrant visa categories, typically initiated after a period of continuous employment.
What qualifications and experience does Snowflake expect for Data Science Engineer roles?
Snowflake's Data Science Engineer roles typically require a bachelor's or master's degree in computer science, statistics, or a closely related quantitative field, which also satisfies the specialty occupation requirement for H-1B eligibility. Practically, Snowflake expects hands-on experience with ML pipelines, Python or Scala, and cloud-native data infrastructure. Roles focused on the data platform side also value experience with distributed query engines and feature stores.
How do I time my application if my OPT or H-1B status is expiring soon?
If your F-1 OPT expires within six months, confirm your STEM OPT extension eligibility immediately, as it adds 24 months to your work authorization and is commonly used to bridge to an H-1B. For H-1B holders changing jobs, Snowflake can file a transfer petition allowing you to start work upon receipt, but USCIS processing for a full approval can take three to six months without premium processing, so initiate the process well before your current status expires.
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