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Remote Snowflake Jobs in Wisconsin (NOW HIRING)

Senior Data Engineer

Milwaukee, WI ยท 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 ...

Commercial Insights Analyst

Menomonee Falls, WI ยท On-site +1

$97K - $143K/yr

This is a remote position within the United States. Relocation is not provided. The expected annual ... Snowflake (data aggregation platform), PowerBI, and building an efficient semantic layer. Recurring ...

$211K - $246K/yr

Hands-on experience with tools such as Snowflake, BigQuery, Redshift, Databricks, dbt, Airflow, Fivetran, Looker, Tableau, Power BI, or similar platforms. * Cross-functional, business-oriented ...

Data Engineer

Milwaukee, WI ยท On-site +1

$112K - $135K/yr

This is a remote position with periodic on-site presence required. Candidates must live and work in Wisconsin and have eligibility to work in the United States without sponsorship. If you're ready to ...

Data Engineer

Madison, WI ยท On-site +1

$115K - $138K/yr

This is a remote position with periodic on-site presence required. Candidates must live and work in Wisconsin and have eligibility to work in the United States without sponsorship. If you're ready to ...

Senior Data Engineer

Brookfield, WI ยท On-site +1

$100K - $136K/yr

This remote role is only open to individuals that reside in one of the following states at the time of application: Wisconsin, Illinois, Iowa, Michigan, Ohio, Indiana, North Carolina, Arkansas ...

Senior Data Engineer

Brookfield, WI ยท Remote

$100K - $136K/yr

This remote role is only open to individuals that reside in one of the following states at the time of application: Wisconsin, Illinois, Iowa, Michigan, Ohio, Indiana, North Carolina, Arkansas ...

Senior Director - Client Data Solutions

Wauwatosa, WI ยท Remote

$103K - $139K/yr

Remote - United States Work set up: Monday to Friday - FTE Skills: Are you Strong experience in ... AWS, Microsoft Azure, Apache Airflow, Docker, Python (Pandas), RDBMS (Snowflake, PostgreSQL), and ...

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Remote Snowflake information

See Wisconsin salary details

$36

$68

$85

How much do remote snowflake jobs pay per hour?

As of Aug 17, 2026, the average hourly pay for remote 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 remote Snowflake?

A Remote Snowflake job involves working with Snowflake, a cloud-based data platform, in a remote setting. Professionals in these roles typically design, develop, and manage data solutions using Snowflake's architecture, SQL, and integration tools. Common responsibilities include data modeling, optimizing queries, and ensuring data security. Employers look for experience in cloud platforms like AWS, Azure, or GCP, along with expertise in ETL processes and analytics. These roles offer flexibility while requiring strong collaboration with data engineers and analysts.

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

To thrive as a Remote Snowflake Data Engineer or Developer, you typically need strong SQL skills, data modeling expertise, and experience with Snowflake's cloud data platform, often supported by a background in computer science or a related field. Familiarity with ETL/ELT tools, cloud platforms (such as AWS, Azure, or Google Cloud), and relevant certifications like SnowPro Core Certification are highly valued. Excellent communication, problem-solving skills, and the ability to work independently are essential for remote collaboration and project delivery. These competencies ensure that you can design, implement, and optimize data solutions efficiently while contributing effectively to distributed data teams.

What are typical challenges faced by remote Snowflake professionals, and how can they be addressed?

Remote Snowflake professionals often face challenges related to cross-team communication, data security, and managing complex cloud-based architectures across different time zones. Staying organized and setting clear documentation practices can help mitigate misunderstandings when collaborating on data modeling or ETL processes. Since troubleshooting and optimizing data pipelines may require quick responses, proactive communication and establishing overlapping work hours with the team are beneficial. Additionally, investing in continuous education on Snowflake updates and security best practices helps prevent issues and supports career growth in the evolving cloud data landscape.

Does Remote Snowflake have a work-from-home policy?

Remote Snowflake positions typically offer a work-from-home or remote work option, allowing employees to perform their duties outside of a traditional office setting. The specific remote work policy may vary by role and team, but remote work is common for roles involving data management, cloud platforms, and collaboration tools. Candidates should review the job listing or contact the employer for detailed policy information.

Does remote Snowflake hire remotely?

Remote Snowflake roles are often available, as the company supports remote work for many positions, especially those related to data engineering, analytics, and cloud infrastructure. Candidates should review specific job postings for location requirements and remote work policies, which can vary by role and team. Skills in Snowflake, SQL, and cloud platforms are typically essential for these positions.

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 Remote Snowflake jobs?

Cities in Wisconsin with the most Remote Snowflake job openings:

Infographic showing various Remote 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.

Senior Data Engineer

Mgic Investment

Milwaukee, WI โ€ข Remote

$104K - $141K/yr

Full-time

Retirement, PTO

Posted 12 days ago


Job description

At MGIC, we take pride in knowing that what we do matters. As pioneers of private mortgage insurance, we help people achieve homeownership sooner - making affordable low-down-payment mortgages a reality. Our efforts have helped more than 14 million people get the keys to their own homes sooner than otherwise possible. Every position is critical to our company's success - from the analytical to the technical; from the innovative to the operational. The customer-facing roles to behind-the-scenes experts, we're all part of one team. We're an organization with a national footprint that's large enough to never lack for a new challenge, but small enough for an opportunity to make an impact and influence decisions. Come make a difference at MGIC.

Summary:

We're building great things at MGIC, and we are excited to be offering this position. This is an opportunityhelpuscreate the next generation data platform. Becoming Data-driven is at the core of our transformation - join us and help us build the future!

We arelooking for aSeniorData Engineerwhoispassionate aboutbuilding trusted, scalabledataproductswithmodern cloudtechnologies. As part of theData & Analytics team, you will design and deliver a Snowflake-centered data platform, automate source-to-warehouse ingestion with Fivetran, develop analytics-ready transformations withdbt, and orchestrate production workflows with Astronomer and Apache Airflow.

Responsibilities:

  • Define and evolve data integration frameworks, engineering standards, reusable patterns, and governance practices for a modern cloud data platform.

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

  • Build and operate reliable batch and incremental ingestion pipelines using Fivetran connectors, including source configuration, schema-change handling, sync monitoring, troubleshooting, and custom connector patterns when needed.

  • Develop modular, maintainabledbtmodels in Snowflake; implement source definitions, tests, documentation, lineage, incremental strategies, and reusable macros.

  • Author, schedule, deploy, and monitor data workflows with Apache Airflow on Astronomer, applying effective dependency management, retry, alerting, backfill, and failure-recovery practices.

  • Implement observability and data-quality controls across ingestion, orchestration, and transformation layers so production data is accurate, timely, and available to stakeholders.

  • Partner with business, analytics, architecture, security, and engineering teams to translate requirements into durable data products and a long-term platform roadmap.

  • Deliver changes through Git-based development, automated testing, code review, and CI/CD practices acrossdbtand Airflow projects.

  • Troubleshoot data and pipeline issues across source systems, Fivetran, Astronomer,dbt, Snowflake, and downstream consumption layers.

  • Evaluate Cortex Code capabilities and lead the development of a practical adoption plan for incorporating AI-assisted engineering into solution delivery processes, including prioritized use cases, governance and security guardrails, developer workflows, enablement, success measures, and a phased rollout.

  • Lead design and code reviews, share engineering best practices, and mentor junior data engineers.

Required skills:

  • Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field, or relevant experience.

  • 5 or more years of data engineering experience, including cloud data warehousing, dimensional data modeling, ETL/ELT, analytics enablement, and production pipeline support.

  • Hands-on Snowflake experience, including advanced SQL, data loading and transformation, virtual warehouse sizing, query optimization, access controls, and cost-conscious platform operation.

  • Experience building production-gradedbtprojects with modular models, tests, documentation, source freshness, incremental models, macros, packages, and CI/CD.

  • Experience developing and operating Apache Airflow DAGs; familiarity with Astronomer or another managed Airflow platform, including deployment, monitoring, alerting, and troubleshooting.

  • Experience implementing and supporting managed ELT with Fivetran, including connector setup, incremental synchronization, schema evolution, monitoring, and issue resolution.

  • Strong Python and SQL skills; experience with APIs, data formats, shell scripting, and Git-based development workflows.

  • Experience with AWS services such as S3, Lambda, IAM, and related cloud data services, plus Agile delivery and end-to-end automation practices.

  • Knowledge of Cortex Code and AI-assisted software development practices, ordemonstratedwillingness and ability to build a responsible adoption plan that integrates the technology into solution delivery processes while maintaining security, governance, code-review, testing, and change-management standards.

  • Strong communication, problem-solving, and collaboration skills, with the ability to influence technical decisions and mentor other engineers.

Pay Range:

$105,590.00 - $179,510.00

This range aligns with current market data and reflects our commitment to competitive and equitable compensation. Salary offers are based on factors such as experience, skills, education, and training. The range may vary in certain locations to reflect local market conditions. It is not typical to initiate pay at the top of the range to account for internal equity and allow for future and continued salary growth

Enjoy these benefits from day one:
Competitive Salary & pay-for-performance bonus
Financial Benefits (401k with company match, profit sharing, HSA, wellness program)
On-site Fitness Center and classes (corporate office)
Paid-time off and paid company holidays
Business casual dress

For additional information about MGIC and to apply, please visit our website at www.mgic.com/careers.

Note to all recruitment agencies:
MGIC does not accept unsolicited agency resumes. Any unsolicited resumes sent to MGIC, directly or indirectly, will be considered MGIC property. MGIC is not responsible for any agency fees associated with unsolicited resumes. A recruiting agency must have a valid, written and fully executed agency agreement to assist with a requisition.