Data Analytics Engineer Jobs at Snowflake with Visa Sponsorship
Snowflake hires Data Analytics Engineers to build and maintain the data pipelines, models, and reporting layers that power its cloud platform. The company sponsors visas across multiple categories for this function, making it a viable target if you need work authorization to take the role.
See All Data Analytics Engineer at Snowflake JobsOverview
Showing 5 of 50+ Data Analytics Engineer Jobs at Snowflake jobs


Have you applied for this role?


Have you applied for this role?


Have you applied for this role?


Have you applied for this role?


Have you applied for this role?
See all 50+ Data Analytics Engineer Jobs at Snowflake
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Data Analytics Engineer Jobs at Snowflake.
Get Access To All Jobs
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 50+ Data Analytics Engineer at Snowflake jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Data Analytics Engineer at Snowflake roles.
Get Access To All JobsTips for Finding Data Analytics Engineer Jobs at Snowflake Jobs
Align Your dbt and SQL Portfolio to Snowflake's Stack
Snowflake's Data Analytics Engineer roles consistently require hands-on experience with dbt, SQL, and cloud-native pipelines. Build public projects on GitHub that demonstrate Snowflake-specific features like clustering, materialization strategies, and dynamic data masking before you apply.
Target Snowflake's Enterprise and Platform Teams First
Snowflake structures analytics engineering across product, enterprise data, and go-to-market functions. Roles on the internal platform and enterprise data teams have historically run longer engagement cycles, giving you more runway to align sponsorship timelines with your OPT or grace period.
Confirm Sponsorship Scope Before Your First Interview
Snowflake's recruiters generally confirm visa sponsorship early in the process, but be specific. Ask whether the role supports your exact status, whether they file H-1B cap-subject petitions in the April lottery, and whether they cover premium processing.
Prepare Your Specialty Occupation Evidence for H-1B
USCIS requires that H-1B roles qualify as specialty occupations. For Data Analytics Engineer positions, document how your role requires a specific degree in computer science, information systems, or a related field, not just any bachelor's degree, to strengthen the petition.
Use Migrate Mate to Filter Snowflake Openings by Visa Type
Snowflake posts Data Analytics Engineer roles across multiple teams and locations. Use Migrate Mate to filter open positions by the visa categories you need, so you spend time on roles that match your sponsorship situation rather than applying broadly and discovering the issue late.
Factor PERM Green Card Timing Into Your Offer Negotiation
If you're targeting long-term status, ask during offer negotiation whether Snowflake initiates PERM labor certification after your H-1B approval. DOL's PERM process can take a year or more, so understanding their policy before you sign affects your overall immigration timeline significantly.
Data Analytics Engineer at Snowflake jobs are hiring across the US. Find yours.
Find Data Analytics Engineer at Snowflake JobsFrequently Asked Questions
Does Snowflake sponsor H-1B visas for Data Analytics Engineers?
Yes, Snowflake sponsors H-1B visas for Data Analytics Engineer roles. They participate in the annual H-1B cap lottery each April and have a consistent track record of sponsoring technical roles in this function. If you're on OPT, confirm your STEM extension timeline with your recruiter early, since cap-subject petitions must be filed before your current authorization expires.
Which visa types does Snowflake commonly sponsor for Data Analytics Engineer roles?
Snowflake sponsors H-1B, F-1 OPT and CPT, TN for Canadian and Mexican nationals, J-1, and employment-based Green Cards including EB-2 and EB-3 for Data Analytics Engineer positions. TN is particularly efficient for Canadian or Mexican nationals with qualifying degrees since it bypasses the H-1B lottery entirely and can be issued at the port of entry.
How do I apply for Data Analytics Engineer jobs at Snowflake?
Apply directly through Snowflake's careers portal or browse their open Data Analytics Engineer roles filtered by visa type on Migrate Mate. Tailor your resume to highlight Snowflake-specific tooling like dbt, SQL, and cloud data modeling. Snowflake's interview process for this function typically includes a technical screen, a SQL or dbt take-home, and a systems design round focused on data modeling.
What qualifications does Snowflake expect for Data Analytics Engineer roles?
Snowflake generally expects a bachelor's degree in computer science, information systems, statistics, or a closely related field for Data Analytics Engineer positions. Practical experience with dbt, SQL, and cloud data warehousing is heavily weighted. Familiarity with data modeling patterns like Kimball or Data Vault and experience supporting business intelligence tools like Looker or Tableau strengthens your application significantly.
How do I time my application at Snowflake around H-1B deadlines?
USCIS opens H-1B registrations in March each year for an April 1 filing window, with employment starting October 1. If you're on OPT, you need to begin the process well before your authorization expires. Target Snowflake's recruiting cycles in the late fall and winter so an offer and petition filing can align with the April window and protect your work authorization continuity.
See which Data Analytics Engineer at Snowflake employers are hiring and sponsoring visas right now.
Search Data Analytics Engineer at Snowflake Jobs