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Snowflake Jobs in Madison, WI (NOW HIRING)

FocusKPI

Marketing Operations Analyst

Whitewater, WI · On-site

Experience working within data platforms like Databricks/Snowflake, and analytics modeling platforms such as Tableau * Strong analytical and problem-solving skills with the ability to interpret ...

FocusKPI

Marketing Operations Analyst

Madison, WI · On-site

Experience working within data platforms like Databricks/Snowflake, and analytics modeling platforms such as Tableau * Strong analytical and problem-solving skills with the ability to interpret ...

Placon Corporation

Applications Manager

Madison, WI

Snowflake * Strong project management skills * Outstanding organization, communication, and analytical abilities * Ability to manage multiple priorities and work with minimal supervision * Ability to ...

Placon Corporation

Applications Manager

Madison, WI · On-site

Snowflake * Strong project management skills * Outstanding organization, communication, and analytical abilities * Ability to manage multiple priorities and work with minimal supervision * Ability to ...

Placon Corporation

Applications Manager

Madison, WI · On-site

Snowflake * Strong project management skills * Outstanding organization, communication, and analytical abilities * Ability to manage multiple priorities and work with minimal supervision * Ability to ...

Rural Mutual Insurance

Data Engineer

Madison, WI

$120K/yr

Strong experience designing and supporting Snowflake-based data warehouse solutions. * Strong with SQL and other programming languages. (Python preferred). * Experience with version control and code ...

Rural Mutual Insurance

Data Analyst

Madison, WI · Remote

$115K/yr

Familiarity with cloud-based data platforms (e.g., Azure, AWS, Snowflake) * Understanding of version control tools (e.g., Git) and collaborative development practices is a plus * Candidate must live ...

Rural Mutual Insurance

Data Engineer

Madison, WI · On-site

$120K/yr

Strong experience designing and supporting Snowflake-based data warehouse solutions. * Strong with SQL and other programming languages. (Python preferred) * Experience with version control and code ...

Imedica

Health Plan Developer II

Madison, WI

$70K - $120K/yr

Experience with DBT, and Snowflake strongly preferred. * Healthcare insurance industry experience or interest. * Demonstrated examples of taking initiative and being curious with data. This position ...

Medica

Health Plan Developer II

Madison, WI · On-site

$70K - $120K/yr

Experience with DBT, and Snowflake strongly preferred. * Healthcare insurance industry experience or interest. * Demonstrated examples of taking initiative and being curious with data. This position ...

Rural Mutual Insurance

Data Analyst

Madison, WI · Remote

$115K/yr

Familiarity with cloud-based data platforms (e.g., Azure, AWS, Snowflake) * Understanding of version control tools (e.g., Git) and collaborative development practices is a plus * Candidate must live ...

Medica

Health Plan Developer II

Madison, WI · On-site

$70K - $120K/yr

Experience with DBT, and Snowflake strongly preferred. * Healthcare insurance industry experience or interest. * Demonstrated examples of taking initiative and being curious with data. This position ...

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Snowflake information

See Madison, WI salary details

$36

$68

$85

How much do snowflake jobs pay per hour?

As of Jul 27, 2026, the average hourly pay for snowflake in Madison, WI is $68.12, according to ZipRecruiter salary data. Most workers in this role earn between $60.29 and $77.26 per hour, depending on experience, location, and employer.

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.

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 experience with cloud environments can enhance job prospects in this field.

What is a Snowflake job?

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.

How much do Snowflake employees make?

Salaries for Snowflake employees vary by role, experience, and location, but the average base salary ranges from approximately $100,000 to $150,000 annually for many positions. Technical roles such as data engineers and software engineers tend to be higher, often exceeding $120,000, with additional compensation like bonuses and stock options common in the company’s compensation packages.

Is Snowflake skill in demand?

Snowflake skills are highly in demand as organizations increasingly adopt cloud data warehousing solutions. Professionals with expertise in Snowflake, along with knowledge of SQL and data management, often find strong job opportunities across various industries.

How hard is it to get a job at Snowflake?

Getting a job as a Snowflake professional typically requires relevant technical skills such as data warehousing, SQL, and cloud platforms, along with experience in data management or analytics. The hiring process often involves multiple interview rounds assessing technical knowledge, problem-solving ability, and cultural fit, making it competitive but achievable with proper preparation.

What are the key skills and qualifications needed to thrive in the Snowflake position, and why are they important?

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 the most commonly searched types of Snowflake jobs in Madison, WI? The most popular types of Snowflake jobs in Madison, WI are:
What are popular job titles related to Snowflake jobs in Madison, WI? For Snowflake jobs in Madison, WI, the most frequently searched job titles are:
What job categories do people searching Snowflake jobs in Madison, WI look for? The top searched job categories for Snowflake jobs in Madison, WI are:
What cities near Madison, WI are hiring for Snowflake jobs? Cities near Madison, WI with the most Snowflake job openings:
Snowflake jobs near you
Infographic showing various Snowflake job openings in Madison, WI as of July 2026, with employment types broken down into 67% Full Time, and 33% Contract. Highlights an 100% In-person job distribution, with an average salary of $141,693 per year, or $68.1 per hour.
Senior Data Engineer

Senior Data Engineer

1 point system

Madison, WI • On-site

$106K - $145K/yr

Contractor

Posted 16 days ago

Job description

Candidates must have strong, recent hands‑on experience with most of the following:

Languages

  • SQL
  • Python (PySpark preferred)

Data Platforms / Storage

  • Cloud data platforms (Azure preferred; AWS/GCP acceptable)
  • Azure Data Lake Storage Gen2 (ADLS Gen2) or equivalent
  • Object storage–based data lakes
  • Parquet format
  • Lakehouse concepts (Iceberg and/or Delta)

Transformation & Modeling

  • dbt (dbt Core and/or dbt Cloud)

Source Control, GitOps & CI/CD

  • GitHub
  • Pull request–based development
  • CI/CD pipelines (GitHub Actions or equivalent)

Compute (one or more)

  • Snowflake
  • Microsoft Fabric
  • Databricks