Data Analytics Engineer Jobs at Snowflake with Visa Sponsorship
Data Analytics Engineer jobs at Snowflake involve building and maintaining 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.
Find Data Analytics Engineer Jobs at SnowflakeOverview
Showing 5 of 21+ Data Analytics Engineer Jobs at Snowflake


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 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 looking for a skilled Snowflake Data Engineer to join our Product and Data Science team. The ideal candidate brings a solid background in data engineering, with deep expertise in Snowflake and cloud technologies.
In this role, you will design, build, and maintain robust data pipelines, ensuring our data infrastructure is scalable, reliable, and efficient. You will partner closely with product and data scientists, providing tools, automation, and best practices to accelerate their work, improve data quality, and ensure consistency across pipelines and dashboards.
Additionally, you will play a critical role in cost optimization for data operations, owning efficient data modeling and pipeline performance. This position is also key in building and scaling our enterprise data warehouse, helping to shape the future of our data ecosystem.
Responsibilities
- Design, develop, and maintain scalable data pipelines using Snowflake and cloud technologies.
- Own and manage cost optimization for Product and Data Science team operations.
- Optimize pipelines for performance, reliability, and efficiency.
- Build and maintain dashboards and reporting platforms using Streamlit.
- Collaborate with cross-functional teams to gather requirements and deliver robust data solutions.
- Work with modern AI tools, including Cursor, to accelerate development.
- Implement data governance, security best practices, and access control policies.
- Develop and enforce data quality checks, SLA monitoring, and dependency tracking.
- Utilize version control systems (e.g., Git) and manage deployment workflows.
- Proactively troubleshoot and resolve data-related issues.
Qualifications
- Bachelor’s degree in Computer Science, Engineering, or a related field.
- Proven hands-on experience with Snowflake, including data modeling, ETL/ELT development, and performance tuning.
- Advanced proficiency in Python, with experience scripting and automating data workflows.
- Proven experience working with Spark for large-scale data processing.
- Demonstrated experience building Streamlit applications integrated with Snowflake.
- Strong command of SQL for complex data querying and analysis.
- Familiarity with cloud platforms such as AWS, Azure, or GCP, and services like S3, Redshift, or BigQuery.
- Strong problem-solving and communication skills.
- Ability to thrive both independently and as part of a collaborative, fast-paced team environment.
Preferred Qualifications:
- Master’s degree in Computer Science, Engineering, or a related discipline.
- Strong understanding of data warehousing principles, architecture, and best practices.
- Experience working within Agile development frameworks (e.g., Scrum, Kanban).
Every Snowflake employee is expected to follow the company’s confidentiality and security standards for handling sensitive data. Snowflake employees must abide by the company’s data security plan as an essential part of their duties. It is every employee's duty to keep customer information secure and confidential.
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.
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: careers.snowflake.com
The following represents the expected range of compensation for this role:
- The estimated base salary range for this role is $168,000 - $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 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 JobsTips for Finding Data Analytics Engineer Jobs at Snowflake
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.
Frequently 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 visa for Canadian and Mexican nationals, J-1 visa, and employment-based Green Cards including EB-2 and EB-3 for Data Analytics Engineer positions. TN visa 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.