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Snowflake Ml Jobs (NOW HIRING)

KAPI LLC

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Senior MLOps Engineer - Snowflake

Dallas, TX · On-site

$100K - $130K/yr

Integrate ML workloads with Snowflake-based enterprise data environments . * Build and optimize Python- and SQL-based data and ML pipelines. * Support Snowflake data ingestion, transformation ...

Neura Market

$150 - $200/hr

Join the Snowflake team ... Join our ML Feature Store team where we're building cutting-edge product capabilities that power ...

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EBSCO Industries, Inc.

Data Scientist

Birmingham, AL · On-site

Snowflake ML Functions, Snowpark * Development: Python, SQL * Feature store: Snowflake * Experiment Tracking: MLflow Typical work includes building and maintaining feature stores Snowflake/dbt ...

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Snowflake Ml information

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How much do snowflake ml jobs pay per hour?

As of Sep 9, 2026, the average hourly pay for snowflake ml in the United States is $58.71, according to ZipRecruiter salary data. Most workers in this role earn between $52.64 and $68.27 per hour, depending on experience, location, and employer.

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

AspectSnowflake MLSnowflake Data Engineer
Primary FocusDeveloping and deploying machine learning models within SnowflakeDesigning, building, and maintaining data pipelines and data architecture in Snowflake
Required SkillsData science, machine learning, SQL, Python, Snowflake platform knowledgeData modeling, ETL processes, SQL, Snowflake architecture, data warehousing
Work EnvironmentCollaborates with data scientists and analysts on ML projectsWorks with data engineers, analysts, and stakeholders on data infrastructure

Snowflake ML specialists focus on creating machine learning models within the Snowflake environment, while Snowflake Data Engineers concentrate on building and maintaining data pipelines and infrastructure. Both roles require strong SQL skills and Snowflake platform knowledge but differ in their core responsibilities and project focus.

What other helpful pages are available for Snowflake Ml?

Other pages related to Snowflake Ml:

Infographic showing various Snowflake Ml job openings in the United States as of September 2026, with employment types broken down into 2% Internship, 93% Full Time, 2% Part Time, and 3% Contract. Highlights an 77% Physical, 4% Hybrid, and 19% Remote job distribution, with an average salary of $122,123 per year, or $58.7 per hour.

Staff Software Engineer - Snowflake Feature Store

Bellevue, WA • On-site

Snowflake
See more jobs at Snowflakeexternal

$236K - $339K/yr

Full-time

Posted 8 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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