2

Remote Snowflake Jobs in Wisconsin (NOW HIRING)

Data Architect

Madison, WI ยท Remote

$65 - $90/hr

Madison, Wisconsin (Partial Remote) Employment Type: Contract to Perm Role Overview The Data ... Deep experience with cloud platforms such as MS-Fabric, Azure, and Snowflake, and tools like Data ...

Senior Data Engineer (Remote)

Menomonee Falls, WI ยท Remote

$123K - $162K/yr

Design and optimize SQL and NoSQL data models for data lakes and warehouses (BigQuery, MongoDB, Snowflake). * Write complex SQL queries for advanced data transformation, aggregation, and analytics ...

Good understanding of data as a product or data mesh topologies using cloud data lakes like Google Big Query, Amazon Redshift or Snowflake * Experience designing and implementing data pipelines using ...

$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 ...

Staff Data Architect (Remote)

Menomonee Falls, WI ยท On-site +1

$64 - $82.25/hr

As a Staff Data Architect, you will serve as a senior technical leader responsible for defining and evolving enterprise data architecture to ensure data is trusted, well-governed, and scalable across ...

Job Specifics Location: 2020 S Webster Ave, Green Bay, WI 54301, Remote position. Applicants must reside in WI, MI, MN, or IA to be considered. FTE Status: Full-Time 1.00 FTE (40 hours/week) Work ...

Data Engineer (MedInsight)

Brookfield, WI ยท On-site +1

$93K - $177K/yr

Location This role can be remote within the U.S. The expected application deadline for this job is July 15, 2026. Compensation The overall salary range for this role is $93,700 - $177,675. For ...

next page

Showing results 1-20

Remote Snowflake information

See Wisconsin salary details

$36

$68

$85

How much do remote snowflake jobs pay per hour?

As of Jun 14, 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 are the key skills and qualifications needed to thrive in the Remote Snowflake position, and why are they important?

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 is a Remote Snowflake job?

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 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.

What are the most commonly searched types of Snowflake jobs in Wisconsin? The most popular types of Snowflake jobs in Wisconsin are:
What are popular job titles related to Remote Snowflake jobs in Wisconsin? For Remote Snowflake jobs in Wisconsin, the most frequently searched job titles are:
What cities in Wisconsin are hiring for Remote Snowflake jobs? Cities in Wisconsin with the most Remote Snowflake job openings:

Director of Data Engineering & Platforms

Cotality

Milwaukee, WI โ€ข Remote

Full-time

Medical, Life, Retirement, PTO

Posted 21 days ago


Job description

At Cotality, we are driven by a single mission-to make the property industry faster, smarter, and more people-centric. Cotality is the trusted source for property intelligence, with unmatched precision, depth, breadth, and insights across the entire ecosystem. Our talented team of 5,000 employees globally uses our network, scale, connectivity and technology to drive the largest asset class in the world. Join us as we work toward our vision of fueling a thriving global property ecosystem and a more resilient society.

Cotality is committed to cultivating a diverse and inclusive work culture that inspires innovation and bold thinking; it's a place where you can collaborate, feel valued, develop skills and directly impact the real estate economy. We know our people are our greatest asset. At Cotality, you can be yourself, lift people up and make an impact. By putting clients first and continuously innovating, we're working together to set the pace for unlocking new possibilities that better serve the property industry.

Job Description:

We are seeking a remote Director of Data Engineering & Platforms to lead our data transformation initiatives and establish robust data architecture frameworks. This role will report to the AVP of Cloud Engineering and will be responsible for designing, implementing, and maintaining our enterprise data ecosystem across Bronze, Silver, and Gold data layers following Data Mesh and Data Vault methodologies. The ideal candidate will drive technical leadership and strategic direction for our data platform while partnering with Product Management, Data Analytics, Data Systems, Cloud Engineering, and product teams to transform raw data into actionable business intelligence.

Key Responsibilities:

Strategic Leadership & Architecture

  • Lead the development and implementation of our data engineering strategy, architecture roadmap, and technical standards

  • Oversee the design and evolution of our data ecosystem utilizing Data Vault methodologies and Data Mesh principles

  • Establish governance and quality frameworks across Bronze (raw), Silver (transformed), and Gold (consumption-ready) data layers

  • Partner with Product Management to align data platform capabilities with business objectives and market demands

  • Drive the technical roadmap for data integration, transformation, and delivery systems

Technical Direction & Delivery

  • Provide technical leadership and oversight for the data engineering team, ensuring best practices in data pipelines, transformations, and delivery

  • Oversee the design and implementation of Snowflake data architecture including warehousing, marts, and access patterns

  • Direct the development of robust ETL/ELT processes using Matillion and other modern data integration tools

  • Guide the implementation of data quality monitoring, lineage tracking, and metadata management

  • Establish standards for data modeling, transformation logic, and performance optimization

Team Leadership & Development

  • Build, mentor, and lead a high-performing

  • Collaborate cross-functionally with Product Management, Data Analytics, Data Systems, Cloud Engineering, and product teams

  • Foster a culture of innovation, continuous improvement, and technical excellence

  • Develop talent through coaching, training, and career development opportunities

  • Promote adaptive methodologies and DevOps practices within the data engineering discipline

BI & Analytics Enablement

  • Oversee the technical implementation of Power BI reporting solutions and analytics platforms

  • Ensure data pipelines efficiently support BI reporting needs and business intelligence requirements

  • Partner with Data Analytics teams to optimize data structures for analytical workloads

  • Guide the design of data models that enable self-service analytics and reporting

  • Establish patterns for efficient and secure data access across the organization

Innovation & Future-State Planning

  • Evaluate emerging technologies and methodologies for potential integration into our data platform

  • Lead proof-of-concepts and pilots for innovative data solutions, including AI/ML enablement

  • Develop the technical foundation to support advanced analytics and machine learning initiatives

  • Guide the evolution of our data architecture to support real-time and streaming use cases

  • Stay current with industry trends and incorporate best practices into our data ecosystem

Job Qualifications:

  • Bachelor's degree from an accredited institution or equivalent professional experience with demonstrated capability.

  • 8+ years of progressive experience in data engineering, data architecture, or related technical roles

  • 5+ years of leadership experience managing data engineering teams and initiatives

  • Extensive experience with modern data platforms, particularly Snowflake and cloud-based data solutions

  • Deep understanding of data modeling techniques including Data Vault, dimensional modeling, and data mesh concepts

  • Hands-on experience with ETL/ELT tools like Matillion and data integration patterns

  • Strong knowledge of SQL Server, Cosmos DB, and database technologies

  • Experience with Power BI or similar BI platforms and understanding of reporting architectures

  • Proven track record implementing data governance, quality, and metadata management solutions

  • Experience partnering with product teams and translating business requirements into technical solutions

Preferred Qualifications:

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

  • Experience with Python, Spark, or other data processing frameworks

  • Knowledge of CI/CD practices and DevOps for data pipelines

  • Familiarity with AI/ML tooling and data preparation for machine learning

  • Experience with real-time data integration and streaming architectures

  • Background in implementing data security and privacy controls

  • Understanding of API design and microservices architectures

  • Experience in the insurance, financial services, or real estate industries

#LI-Remote

Annual Pay Range:

134,400 - 192,000 USD

Application Window:

This opportunity is expected to remain posted through the date identified below, subject to business needs.

2026-06-23

Thrive with Cotality

At Cotality, we offer more than just a job, we provide a benefits experience designed to support your whole self. From a flexible working model to competitive time off and standout health coverage with meaningful perks and growth opportunities, our package is built to help you thrive at work and in life.

Highlights, depending on role classification, include:

  • Time off: Generous PTO and 11 paid holidays, plus well-being and volunteer time off.

  • Family Support: Up to 16 weeks of fully paid parental leave and a baby stipend.

  • Health: Multiple medical plan options with mental health and wellness support offerings.

  • Retirement: 401(k) with company match and vesting after one year.

  • Financial Perks: $400 annual well-being stipend and tuition assistance up to $5,250.

  • Extras: Recognition Rewards, Referral bonuses, exclusive discounts and more!

Please note, Qualifications, locations and experience of the individual ultimately selected for the position may impact the final actual offered compensation, which may vary from the posted range

Cotality is an Equal Opportunityemployer committed to attracting and retaining thebest-qualified people available, without regard torace, color, religion, national origin, gender, sexualorientation, gender identity, age, disability or statusas a veteran of the Armed Forces, or any other basisprotected by federal, state or local law. Cotalitymaintains a Drug-Free Workplace.

Cotality is fully committed to a work environment that embraces everyone's uniquecontributions, experiences and values. We offer anempowered work environment that encouragescreativity, initiative and professional growth andprovides a competitive salary and benefits package. We are better together when we support and recognize our differences.

Privacy Policy

Global Applicant Privacy Policy

By providing your telephone number, you agree to receive automated (SMS) text messages at that number from Cotality regarding all matters related to your application and, if you are hired, your employment and company business. Message & data rates may apply. You can opt out at any time by responding STOP or UNSUBSCRIBING and will automatically be opted out company-wide.

Connect with us on social media! Click on the quicklinks below to find out more about our company and associates