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Snowflake Jobs in Maple Valley, WA (NOW HIRING)

Snowflake

Tech Lead Manager - SUT Team

Bellevue, WA · On-site

$236K - $339K/yr

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 ...

Snowflake

Senior Software Engineer

Bellevue, WA · On-site

$160K - $230K/yr

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 ...

Snowflake

Staff Design Engineer

Bellevue, WA · On-site

$198K - $285K/yr

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 ...

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All JobsSnowflake JobsSnowflake Jobs in Maple Valley, WA

Snowflake information

See Maple Valley, WA salary details

$41

$78

$98

How much do snowflake jobs pay per hour?

As of Sep 5, 2026, the average hourly pay for snowflake in Maple Valley, WA is $78.21, according to ZipRecruiter salary data. Most workers in this role earn between $69.23 and $88.70 per hour, depending on experience, location, and employer.

What is a Snowflake?

A Snowflake job typically refers to tasks executed within Snowflake, a cloud-based data platform. These jobs can include data loading, transformation, querying, or scheduled tasks using Snowflake's task and stream features. They help automate data workflows, improve performance, and ensure efficient data management within the Snowflake ecosystem.

What are the key skills and qualifications needed to thrive in the Snowflake position?

To thrive as a Snowflake professional (such as a Snowflake Data Engineer or Administrator), you need a solid understanding of cloud data warehousing, SQL, and data modeling, typically supported by a degree in computer science or related fields. Experience with the Snowflake platform, data integration tools (like Informatica or Talend), and relevant certifications such as SnowPro are highly valuable. Strong problem-solving abilities, communication skills, and adaptability help professionals translate business requirements into data solutions and work effectively with cross-functional teams. These competencies are crucial for optimizing data workflows, ensuring system performance, and supporting the data-driven goals of an organization.

What are some common challenges faced by Snowflake professionals, and how can they be addressed?

Snowflake professionals often encounter challenges such as optimizing query performance, managing data security and access controls, and integrating Snowflake with multiple data sources. Addressing these challenges requires continuous learning about the platform’s evolving features, proactively monitoring query and storage usage, and collaborating closely with data architects, DevOps, and IT security teams. Staying up to date with best practices and regularly attending Snowflake community webinars or training can also be extremely helpful. Most companies encourage knowledge sharing and collaboration, so being proactive in problem-solving will help you thrive in this role.

Does Snowflake offer remote jobs?

Snowflake offers remote job opportunities for various roles, including data engineers, analysts, and software engineers. Many positions are fully remote or have flexible work arrangements, often requiring proficiency with cloud platforms and collaboration tools. Candidates should review specific job listings for location and remote work options.

Is Snowflake a good career?

A career as a Snowflake professional typically involves working with cloud data platforms, data warehousing, and SQL skills. It offers opportunities in data engineering, analytics, and cloud computing, with demand driven by the growth of data-driven decision making. Certifications and continuous learning can enhance job prospects in this field.

What exactly does Snowflake do?

A Snowflake professional typically works with the Snowflake data platform, which is a cloud-based data warehousing service. They manage data integration, optimize queries, and ensure data security within the platform, often using SQL and cloud infrastructure skills. The role involves supporting data analytics and business intelligence initiatives.

What cities near Maple Valley, WA are hiring for Snowflake jobs?

Cities near Maple Valley, WA with the most Snowflake job openings:

Snowflake jobs near you
Infographic showing various Snowflake job openings in Maple Valley, WA as of August 2026, with employment types broken down into 51% Full Time, and 49% Contract. Highlights an 83% In-person, and 17% Remote job distribution, with an average salary of $162,680 per year, or $78.2 per hour.

Staff Software Engineer - Snowflake Feature Store

Snowflake

Bellevue, WA • On-site

$236K - $339K/yr

Full-time

Posted 4 days ago

Job description

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.
Where Data Does More. Join the Snowflake team.
Join our ML Feature Store team where we're building cutting-edge product capabilities that power complex feature transformations and low latency feature serving. We're revolutionizing machine learning feature management and serving capabilities as part of the Snowflake ML suite of products. In the era of GenAI and agents, our team delivers high-quality, fresh feature solutions that make a real difference for our customers.
IN THIS ROLE AT SNOWFLAKE, YOU WILL:
  • Help define and own the roadmap for Snowflake Feature Store, working collaboratively with senior architects and ML team leadership
  • Build and execute a vision for incorporating new advances in machine learning
  • Ensure operational excellence of services and meet reliability, availability, and performance commitments
  • Collaborate across ML partner teams to improve development velocity and capabilities
  • Support team members in delivering high technical quality

WE WOULD LOVE TO HEAR FROM YOU IF YOU HAVE:
  • 10+ years of experience in designing and building data serving infrastructure and/or machine learning platforms.
  • Strong track record working with machine learning systems and platforms.
  • Strong understanding of computer science fundamentals.
  • B.Sc. in Computer Science
  • Fluency in Java and Python
  • Experience with feature engineering platforms and ML platforms

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

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