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Snowflake Jobs in Wisconsin (NOW HIRING)

WI · On-site

$100 - $150/hr

* 3+ years of experience in Snowflake platform operations or support. * SnowPro Core certification preferred; additional Snowflake certifications a plus. * Proficiency in SQL and basic scripting ...

WI · On-site

$61.50 - $82.50/hr

You will lead architecture across teams, align with governance, and mentor engineers while delivering high-availability data ecosystems using Snowflake, AWS Glue, Lambda, Step Functions, and Spark ...

WI · On-site

$240 - $280/hr

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 ...

WI · On-site

$100 - $130/hr

Spark, Snowflake, Python, AWS #J-18808-Ljbffr

Senior Data Engineer

Milwaukee, WI · Remote

$104K - $141K/yr

Design scalable Snowflake data architectures, including databases, schemas, tables, views, virtual warehouses, role-based access, and approaches for performance and cost optimization. * Build and ...

WI · On-site

$140 - $160/hr

Work with data storage technologies such as Snowflake, Cloudera, Hadoop, HDFS, and Hive for data storage, retrieval, and processing. * Skills Needed: * Strong Python background with demonstrable ...

WI · On-site

$140 - $160/hr

Work with data storage technologies such as Snowflake, Cloudera, Hadoop, HDFS, and Hive for data storage, retrieval, and processing.* Skills Needed:* Strong Python background with demonstrable ...

WI · On-site

$90 - $120/hr

Using a modern data stack--including Snowflake, Dagster, Coalesce, Tableau, Terraform, GitHub, and integrations with platforms such as Salesforce and Optum Stepwise--you'll solve complex engineering ...

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Snowflake information

See Wisconsin salary details

$36

$68

$85

How much do snowflake jobs pay per hour?

As of Aug 27, 2026, the average hourly pay for snowflake in Wisconsin is $68.24, according to ZipRecruiter salary data. Most workers in this role earn between $60.43 and $77.40 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 are the most commonly searched types of Snowflake jobs in Wisconsin?

The most popular types of Snowflake jobs in Wisconsin are:

What cities in Wisconsin are hiring for Snowflake jobs?

Cities in Wisconsin with the most Snowflake job openings:

Infographic showing various Snowflake job openings in Wisconsin as of August 2026, with employment types broken down into 93% Full Time, 2% Part Time, and 5% Contract. Highlights an 73% Physical, 8% Hybrid, and 19% Remote job distribution, with an average salary of $141,936 per year, or $68.2 per hour.

Snowflake Data Platform Operations Engineer

WI • On-site

StradIT
IT Services • 11 - 50 employees

$100 - $150/hr

Other

Posted 8 days ago


Job description

  • 3+ years of experience in Snowflake platform operations or support.
  • SnowPro Core certification preferred; additional Snowflake certifications a plus.
  • Proficiency in SQL and basic scripting (Python or Bash) for operational automation.
  • Familiarity with CI/CD tools (GitLab, Bitbucket, Jenkins) and infrastructure automation (Terraform, Ansible).
  • Experience with Linux system administration and batch scheduling tools (e.g., Autosys).
  • Basic AWS IaaS administration; Azure or GCP experience acceptable.
  • Understanding of ITSM processes and tools (ServiceNow).
  • Strong problem-solving skills and attention to detail.
  • Excellent communication and collaboration abilities.
  • Experience supporting Snowflake integrations with business analytics tools (Power BI, Looker, Quicksight).
  • Exposure to Snowpark container services and Snowpipe stream analytics.
  • Familiarity with Snowflake Cortex AI services.
  • Experience with CMDB tools such as CloudAware.
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