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Data Solutions Developer Jobs in Wisconsin (NOW HIRING)

As a Data Engineer , you will be responsible for implementing and optimizing data pipelines ... Monitor and maintain data pipelines and systems, identify issues, and implement solutions to ensure ...

AWS Data Architect

Neenah, WI · On-site

$64.50 - $82.75/hr

Collaborate with data engineers, analysts, and business stakeholders to translate requirements into scalable data solutions * Establish and enforce data governance, security, and compliance ...

Title: GCP Solution Architect - (Subcontract at an NRI) Through NRI Resource Management Services ... Knowledge, Skills, and Abilities Required · 5-7 years of work experience in data engineering · ...

Jr. Data Engineer

Germantown, WI · On-site

$116K - $139K/yr

This role focuses on building reliable, scalable data solutions that enable analytics, reporting ... Science, Data Engineering, Information Systems, or related field (or equivalent experience ...

Data Engineer (Hybrid)

Cottage Grove, WI · On-site

$108K - $130K/yr

Design, build, and maintain data architectures, databases, data models, and integration solutions that enable scalable and reliable data management. * Partner with business leaders, developers ...

Data Engineer (Hybrid)

Cottage Grove, WI · On-site

$108K - $130K/yr

Design, build, and maintain data architectures, databases, data models, and integration solutions that enable scalable and reliable data management. * Partner with business leaders, developers ...

Data Architect

Mequon, WI · On-site

$56.50 - $72.75/hr

... data solutions. * Partner with analytics, engineering, and business teams to accelerate self-service reporting, data science, and machine learning initiatives. * Help define the future-state ...

Data Architect

Mequon, WI · On-site

$120 - $180/hr

... data solutions.* Partner with analytics, engineering, and business teams to accelerate self-service reporting, data science, and machine learning initiatives.* Help define the future-state ...

Principal Data Architect

Milwaukee, WI · Hybrid

$160K - $190K/yr

You will work closely with engineering, analytics, and platform teams to design scalable data solutions, modernize legacy systems, and enable high-quality data for analytics and AI/ML use cases. Key ...

AI Solutions Engineering Delivery Lead

Milwaukee, WI · On-site

$101K - $133K/yr

... robust data solutions for clients. They play a crucial role in transforming raw data into ... Those in data science and machine learning engineering at PwC will focus on leveraging advanced ...

... robust data solutions for clients. They play a crucial role in transforming raw data into ... DevOps pipelines - Implementing data security practices using AWS, Azure, GCP, Snowflake or ...

Showing results 21-40

Data Solutions Developer information

How does a Data Solutions Developer typically collaborate with data analysts and business stakeholders?

As a Data Solutions Developer, collaboration with data analysts and business stakeholders is integral to delivering effective data-driven solutions. You will frequently engage in requirements-gathering sessions to understand business needs, translate those needs into technical specifications, and iterate on data models or pipelines based on feedback. Regular meetings and clear communication are essential to ensure the solutions you develop align with business goals and analytics objectives. Additionally, you may provide technical guidance to analysts on data access or usage and help stakeholders interpret results from the systems you build.

What is the difference between Data Solutions Developer vs Data Engineer?

AspectData Solutions DeveloperData Engineer
Primary FocusDesigning and developing data solutions and applicationsBuilding and maintaining data pipelines and infrastructure
Skills & CertificationsSQL, programming, data modeling, cloud platformsETL, database systems, cloud services, scripting
Work EnvironmentCollaborates with data analysts, developers, and business teamsWorks on data architecture, infrastructure, and backend systems
Industry UsageUsed across industries for data application developmentPrimarily in data-heavy sectors like tech, finance, and healthcare

While both roles involve working with data, Data Solutions Developers focus on creating data applications and solutions, whereas Data Engineers concentrate on building the data infrastructure and pipelines. Understanding these differences helps in choosing the right career path or job role.

What are the key skills and qualifications needed to thrive as a Data Solutions Developer?

To thrive as a Data Solutions Developer, you need strong programming skills (such as Python, SQL, or Java), a solid understanding of data architecture, and typically a degree in computer science or a related field. Familiarity with data warehousing tools, ETL processes, cloud platforms (like AWS or Azure), and certifications such as Microsoft Certified: Azure Data Engineer Associate are highly valued. Analytical thinking, problem-solving, and effective communication help you collaborate with stakeholders and translate business requirements into technical solutions. These skills ensure the delivery of robust, scalable data solutions that drive informed decision-making and business success.

What does a data solutions developer do?

A data solutions developer designs, develops, and implements data management and analytics solutions to help organizations process and interpret large datasets. They often work with programming languages like SQL, Python, or Java, and use tools such as data warehouses and ETL processes to create efficient data workflows. Their role involves collaborating with stakeholders to understand data needs and ensuring solutions are scalable and secure.
What are popular job titles related to Data Solutions Developer jobs in Wisconsin? For Data Solutions Developer jobs in Wisconsin, the most frequently searched job titles are:
What job categories do people searching Data Solutions Developer jobs in Wisconsin look for? The top searched job categories for Data Solutions Developer jobs in Wisconsin are:
What cities in Wisconsin are hiring for Data Solutions Developer jobs? Cities in Wisconsin with the most Data Solutions Developer job openings:
Infographic showing various Data Solutions Developer job openings in Wisconsin as of August 2026, with employment types broken down into 82% Full Time, 12% Part Time, and 6% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

$120K/yr

Full-time

Posted 24 days ago


Job description

Rural Mutual Insurance is looking for an experienced and motivated data professional to play a critical role in the design, development, and maintenance of the company’s data warehouse and related data marts.

As a Data Engineer, you will be responsible for implementing and optimizing data pipelines, ensuring data quality, and building data models that support analytics and business intelligence initiatives. The ideal candidate will have a deep understanding of data engineering and data modeling principles, with a proven track record of designing, implementing, and maintaining robust, scalable data pipelines and models on cloud platforms. 

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 be part of a team that values your expertise and encourages your professional growth, apply today!

Rural Mutual, a leading property and casualty insurance company based in Wisconsin, is well known for its financial strength and longevity in the insurance industry. Our reputation in the marketplace ensures stability and opens up numerous growth opportunities for our employees. Committed to our employees and their families, we offer a suite of benefits promoting health and wellness. We prioritize work-life balance, offering flexible start times as well as summer hours for this role. Join our experienced and talented team of IT professionals dedicated to excellence, innovation, and collaboration. 

Compensation:

$105,000 - $120,000 yearly


Responsibilities:
  • Architect, design, and implement scalable data pipelines and integration frameworks that support enterprise analytics, reporting, and data-driven decision making.
  • Optimize data pipelines and models for performance, scalability, and cost-efficiency.
  • Design and implement dimensional (star schema) data models that accurately represent business processes and support analytical needs.
  • Partner with business stakeholders, analysts, and technical teams to translate complex business requirements into scalable and sustainable data solutions.
  • Implement data validation and quality checks to ensure the integrity and accuracy of the data and subsequent analytics.
  • Monitor and maintain data pipelines and systems, identify issues, and implement solutions to ensure continuity and uptime.
  • Create and maintain comprehensive documentation for data pipelines and models.
  • Evaluate emerging technologies and recommend improvements to the organization's data architecture, engineering and modeling practices.

Qualifications:
  • Bachelor’s Degree in Computer Science, Data Analytics, Software Engineering, or related field, or an equivalent combination of education and experience.

  • Proven experience designing, implementing, and supporting enterprise data warehouse and analytics solutions.

  • Deep expertise designing and optimizing modern data integration and enterprise-scale ETL/ELT solutions using Fivetran and dbt.

  • 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 management within a multi-tier code repository.

  • Experience in designing and implementing dimension (star schema) data models.

  • Proven ability to translate business requirements into successful data solutions.

  • Experience using Infrastructure as Code tools. (preferred).

  • Experience in the property and casualty insurance industry. (preferred).

  • Candidate must live and work in Wisconsin.

  • Eligible to work in the United States without sponsorship.


About Company

What You'll Love About Rural Mutual Insurance:

We are a leading property and casualty insurance company based in Wisconsin, well known for our financial strength and longevity in the insurance industry. Our reputation in the marketplace ensures stability and opens up numerous growth opportunities for our employees.

We created a welcoming place to work with friendly and professional leadership. We are known for the great care we take with our staff, our agents, and our customers. We are passionate and determined about delivering the best customer service, preserving insurance industry knowledge, and making a difference through the work that we do.

We believe in a healthy work/life balance and, to that end, offer a competitive and comprehensive compensation package including health, dental, life, LTD, and vision insurance as well as an employee bonus plan, matching 401(k) plan, and generous time off benefits. Rural Mutual is an Equal Opportunity employer.