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Snowflake Visa Jobs (NOW HIRING)

Visa

Sr. Data Engineer

Foster City, CA · On-site

$133.50K - $160.30K/yr

At Visa, you'll have the opportunity to create impact at scale - tackling meaningful challenges ... Experience with platforms such as databricks or snowflake U.S. Applicants Only The estimated salary ...

Visa

Sr. Data Engineer

Foster City, CA · Hybrid

$133.50K - $160.30K/yr

At Visa, you'll have the opportunity to create impact at scale - tackling meaningful challenges ... Use Claude Code orGithubcopilot to generate and refactor boilerplatePySparkjobs, Hive or Snowflake ...

USM

JB061609 - Data Engineer with STTM

$117.20K - $140.70K/yr

Visa Types Green Card, US Citiz.. I have a 3 month contract with a possibility of an extension. We are looking for a Data Engineer with STTM (Source-to-Target Mapping), Snowflake, Salesforce. Huge ...

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How much do snowflake visa jobs pay per hour?

As of May 31, 2026, the average hourly pay for snowflake visa in the United States is $67.61, according to ZipRecruiter salary data. Most workers in this role earn between $59.86 and $76.68 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Snowflake Data Engineer, and why are they important?

To thrive as a Snowflake Data Engineer, you need strong SQL expertise, data warehousing knowledge, and experience with ETL processes, often backed by a degree in computer science or related fields. Familiarity with Snowflake's cloud data platform, scripting languages like Python, and relevant certifications such as SnowPro Core Certification are highly valuable. Analytical thinking, problem-solving abilities, and effective communication skills help you design scalable solutions and collaborate with stakeholders. These skills are crucial for efficiently managing large datasets, optimizing data pipelines, and supporting business decision-making.

What are some common challenges faced by Snowflake Data Engineers when working with large-scale data pipelines?

Snowflake Data Engineers often encounter challenges related to optimizing query performance, managing storage costs, and ensuring data security when working with large-scale data pipelines. Balancing the efficient use of Snowflake's features, such as virtual warehouses and data sharing capabilities, requires a deep understanding of both the platform and the specific needs of the organization. Collaboration with data analysts, architects, and business stakeholders is essential to ensure data is accessible, reliable, and compliant with company policies. Staying up-to-date with Snowflake’s frequent feature updates also helps in leveraging new capabilities for better performance and scalability.

What are Snowflake Visa jobs?

Snowflake Visa jobs refer to positions at the technology company Snowflake that are open to candidates who require work visa sponsorship. These roles may be in areas such as engineering, sales, data science, or technical support, and are suitable for qualified professionals from outside the hiring country. Snowflake, like many tech companies, often sponsors visas for highly skilled talent, especially in markets like the United States. Securing a visa-sponsored job typically involves meeting the company's qualifications and completing the legal requirements for work authorization. Candidates are advised to check job descriptions for visa sponsorship eligibility before applying.

What is the difference between Snowflake Visa vs Snowflake Data Engineer?

AspectSnowflake VisaSnowflake Data Engineer
Required CredentialsVisa sponsorship, possibly some cloud or data certificationsData-related certifications (e.g., AWS, Azure), SQL, and cloud platform knowledge
Work EnvironmentData migration, cloud data platform setup, client onboardingData pipeline development, ETL processes, data modeling
Employer & Industry UsageTech companies, consulting firms, cloud service providersTech companies, finance, healthcare, and data-driven industries

Snowflake Visa typically refers to visa sponsorship roles involving Snowflake cloud platform onboarding or migration. Snowflake Data Engineer focuses on building and maintaining data pipelines and architectures using Snowflake. While both roles require knowledge of Snowflake, Visa roles emphasize onboarding and migration, whereas Data Engineers focus on data pipeline development and management.

Infographic showing various Snowflake Visa job openings in the United States as of May 2026, with employment types broken down into 80% Full Time, 19% Part Time, and 1% Contract. Highlights an 32% Physical, 14% Hybrid, and 54% Remote job distribution, with an average salary of $140,621 per year, or $67.6 per hour.
Sr. Data Engineer

Sr. Data Engineer

Visa

Foster City, CA • On-site

$133.50K - $160.30K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 6 hours ago

Visa rating

8.8

Company rating: 8.8 out of 10

Based on 9 frontline employees who took The Breakroom Quiz

3rd of 17 rated payment service providers

Job description

About Us
Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid.
At Visa, you'll have the opportunity to create impact at scale - tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world.
Join Visa and do work that matters - to you, to your community, and to the world. Progress starts with you.
Job Description
About the role
As a Senior Data Engineer, you will play a critical role in designing and delivering scalable, high-quality data solutions that enable intelligent decision-making across Global Data Engineering capabilities. You will leverage your expertise to design and implement large-scale data pipelines and integrated data solutions using the latest technologies, ensuring efficient data storage, processing, and presentation. You will also build and utilize advanced data modeling frameworks and adopt modern architectural patterns such as Medallion Architecture to deliver well-structured, efficient, and future-ready data solutions.
Primary responsibilities
  • Experience in Requirement Gathering, Estimating, Managing large scale Data Engineering Projects.
  • Requirement Analysis: Understand and translate business needs into data models supporting long-term solutions.
  • Data Modeling: Work with the Business team to implement data strategies, build data flows and develop conceptual data models.
  • Data Pipeline Design: Create robust and scalable data pipelines and data products in a variety of domains.
  • Data Integration: Develop and maintain data lakes by acquiring data from primary and secondary sources and build scripts that will make our data evaluation process more flexible or scalable across data sets.
  • Testing: Define and manage the data load procedures to reject or discard datasets or data points that do not meet the defined business rules and quality thresholds.
  • Operations: Able to independently manage the data load operations of the solutions or products in scope and be able to debug, manage stakeholder communications and provide clarification on the data produced.
  • Understanding of and ability to Implement Data Engineering principles and best practices.
  • Stakeholder Management: Collaborate with stakeholders across the organization to understand their data needs and deliver solutions.
  • Continuous Integration and Continuous Deployment (CI/CD): Implement and maintain CI/CD pipelines for data solutions, ensuring rapid, reliable, and streamlined updates to the data environment.
  • Leverage AI on day to day tasks to bring in efficiency in implementation and quicker time to market.
  • Use Claude Code or Github copilot to generate and refactor boilerplate PySpark jobs, Hive or Snowflake SQL, Airflow DAG scaffolding, and documentation, while retaining full ownership of review, hardening, validation, and production readiness.
  • Define and maintain Claude agents and skills for recurring workflows such as requirement intake, code review, PySpark job generation, backfill planning, incident triage, and artifact documentation.
  • Integrate Claude Code with Jira, GitHub, SharePoint, Airflow, and internal catalog or data-quality systems through MCP or comparable connector patterns.
  • Build and evolve data quality checks, observability signals, and operational runbooks to improve reliability of the datasets
  • Drive engineering best practices through GitHub workflows, code reviews, automated tests, schema controls, and safe deployment patterns for both on-prem and cloud components.

This is a hybrid position. Expectation of days in office will be confirmed by your hiring manager.
Visa requires at least 3 days in office, expectations of these days will be confirmed by your Hiring Manager.
Qualifications
Basic Qualifications:
  • 2 or more years of work experience with a bachelor's degree or an Advanced Degree (e.g. Masters, MBA, JD, MD, or PhD)

Preferred Qualifications:
  • 3 or more years of work experience with a bachelor's degree or more than 2 years of work experience with an Advanced Degree (e.g. Masters, MBA, JD, MD)
  • Hands-on data engineering experience building and operating production data pipelines.
  • Extensive experience in Hadoop ecosystem and associated technologies, (For e.g. Apache Spark, Python, Pandas etc.), Open table formats (e.g. Iceberg)
  • Proficiency in Python, SQL, and PySpark.
  • Experience with Unix/Linux systems with scripting experience in Bash.
  • Experience with data pipeline and workflow management tools like Airflow, etc.
  • Experience with relational SQL and NoSQL databases, including Postgres and Cassandra.
  • Practical experience with AWS data engineering services, especially S3, EMR, and Glue Catalog.
  • Strong analytic skills related to working with structured & unstructured datasets.
  • Proficiency in managing and communicating data warehouse plans to internal clients.
  • Experience with building processes supporting data transformation, data structures, metadata, dependency, and workload management.
  • Experience designing for data quality, resiliency, and observability, including validation checks, monitoring, alerting, and runbooks
  • Practical experience using generative AI tools such as Claude code or similar systems to accelerate coding, documentation, or incident analysis while applying appropriate review controls.
  • Strong communication skills and the ability to convert ambiguous business requirements into clear technical implementation plans.
  • Experience with platforms such as databricks or snowflake

U.S. Applicants Only
The estimated salary range for this position is $123,000.00 to $ 190,900.00 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity.Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401(k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program.
Work Hours
Varies upon the needs of the department.
Travel Requirements
This position requires travel 5-10% of the time.
Mental/Physical Requirements
This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers.
Visa is an EEO Employer
Qualified applicants will receive consideration for employment without regard to race, color religion, sex, national origin, sexual orientation, gender identity, disability or protect veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with the EEOC guidelines and applicable local law.
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About Visa

Sourced by ZipRecruiter

Visa is a global leader in digital payments, facilitating over 215 billion transactions annually across more than 200 countries and territories. Our mission is to connect the world through an innovative, reliable, and secure payments network, empowering individuals, businesses, and economies to thrive. When you become a part of Visa, you join a purpose-driven culture that values growth, embraces diversity, and recognizes the significance of your contributions. We believe in creating inclusive economies that uplift everyone, everywhere. Your work at Visa will directly impact billions of people worldwide, enabling access to financial services and shaping the future of money movement.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

San Francisco, CA, US

Year founded

1958

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