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Exempt Data Engineer Jobs in Wisconsin (NOW HIRING)

Society Insurance Company

Data Architect

Fond Du Lac, WI · On-site +1

$62.75 - $80.75/hr

Exempt; Full-time Schedule: Flexible Scheduling Opportunities Position Location: Home Office ... Works with data engineering and Agile teams to ensure architecture is implemented effectively ...

Society Insurance Company

Data Architect

Fond Du Lac, WI · On-site

$62.75 - $80.75/hr

Exempt; Full-time Schedule: Flexible Scheduling Opportunities Position Location: Home Office ... Works with data engineering and Agile teams to ensure architecture is implemented effectively ...

Society Insurance Company

Data Architect

Fond Du Lac, WI · On-site

$62.75 - $80.75/hr

Exempt; Full-time Schedule: Flexible Scheduling Opportunities Position Location: Home Office ... Works with data engineering and Agile teams to ensure architecture is implemented effectively ...

VoltaGrid LLC

WI · On-site

$110 - $150/hr

EXEMPT Responsible to : TEAM LEAD - DATA CENTER DESIGN Position Summary : This position is ... Provide engineering support to other departments as needed Other Requirements: * Bachelor's Degree ...

RFA Engineering

Mechanical Test Engineer

Horicon, WI · On-site

$65K - $80K/yr

Collect, analyze, and interpret test data; document results and communicate findings to project ... Bonus Plan (Exempt Employees Only) * Paid Time Off (PTO) * Paid Holidays * Bereavement Leave

RFA Engineering

Manufacturing Engineer

Horicon, WI · On-site

$70K - $85K/yr

Investigate, gather and analyze data and implement solutions. * Continuous improvements in cost ... Bonus Plan (Exempt Employees Only) * Paid Time Off (PTO) * Paid Holidays * Bereavement Leave

RFA Engineering

Mechanical Design Engineer

Horicon, WI · On-site

$65K - $90K/yr

... data) to document the design solution required for building of prototypes and adoption of the ... Bonus Plan (Exempt Employees Only) * Paid Time Off (PTO) * Paid Holidays * Bereavement Leave

3M HEALTHCARE

WI · On-site

$140 - $190/hr

... Regular (Exemption Status: Yes) Job Summary The Data Scientist Team Lead leads a team of data ... Machine learning methods, programming languages, structured query language (SQL). Benefits We offer ...

Texas Electric Cooperatives, Inc.

WI · On-site

$70 - $105/hr

Study technical data to determine appropriate limits and variables for product, process or ... Exempt employees receive a fixed bi-weekly salary to compensate them for all hours worked during ...

Rfamec

Entry Level Mechanical Test Engineer

Horicon, WI · On-site

$65 - $80/hr

Collect, analyze, and interpret test data; document results and communicate findings to project ... Bonus Plan (Exempt Employees Only) * Paid Time Off (PTO) * Paid Holidays * Employee Assistance ...

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All JobsExempt Data Engineer JobsExempt Data Engineer Jobs in Wisconsin

Exempt Data Engineer information

See Wisconsin salary details

$44.9K

$130.9K

$179.2K

How much do exempt data engineer jobs pay per year?

As of Sep 6, 2026, the average yearly pay for exempt data engineer in Wisconsin is $130,930.00, according to ZipRecruiter salary data. Most workers in this role earn between $115,600.00 and $138,800.00 per year, depending on experience, location, and employer.

What is an exempt data engineer?

Exempt Data Engineers are professionals responsible for designing, building, and maintaining the systems and architecture that allow organizations to collect, store, and analyze large amounts of data. The term 'exempt' refers to their employment status under labor laws, meaning they are salaried employees who are not eligible for overtime pay under the Fair Labor Standards Act (FLSA). These engineers typically work with big data technologies, databases, and programming languages to ensure data is accessible, reliable, and secure for analysis and business decision-making.

What are the key skills and qualifications needed to thrive as an exempt data engineer?

To thrive as an Exempt Data Engineer, you need strong expertise in data modeling, SQL, programming (such as Python or Java), and a relevant degree in computer science or a related field. Familiarity with big data platforms (e.g., Hadoop, Spark), cloud services (like AWS or Azure), and data pipeline tools, along with certifications such as Google Data Engineer or AWS Certified Data Analytics, is typically required. Analytical thinking, effective problem-solving, and strong collaboration skills help set top performers apart. These competencies ensure the reliable design, implementation, and management of data systems that support business intelligence and organizational decision-making.

What are some common challenges faced by exempt data engineers when integrating data from multiple sources?

Exempt Data Engineers often encounter challenges when integrating data from various sources, such as incompatible data formats, inconsistent data quality, and varying update frequencies. Addressing these issues typically requires designing robust ETL (Extract, Transform, Load) pipelines and collaborating closely with data analysts, database administrators, and source system owners. Successfully overcoming these challenges not only ensures reliable data flow but also enhances the organization's ability to make data-driven decisions. Proactive communication and thorough documentation are key practices that help streamline integration processes.

What is the difference between Exempt Data Engineer vs Data Analyst?

AspectExempt Data EngineerData Analyst
Required CredentialsBachelor's in Computer Science or related field, often certifications in data engineering toolsBachelor's in Statistics, Data Science, or related field, often certifications in analytics tools
Work EnvironmentDesigning, building, and maintaining data pipelines in tech or finance industriesInterpreting data, creating reports, and providing insights across various industries
Employer & Industry UsageUsed in companies with large data infrastructure, including tech, finance, and healthcareCommon in marketing, finance, healthcare, and retail sectors

Exempt Data Engineers focus on developing and maintaining data infrastructure, while Data Analysts interpret data to generate insights. Both roles require strong technical skills, but Data Engineers typically work more on data architecture, whereas Data Analysts focus on data analysis and reporting.

Are data engineers still in demand?

Data engineers are currently in high demand due to the increasing need for managing large data systems, building data pipelines, and supporting analytics and machine learning initiatives. Skills in cloud platforms, SQL, and programming languages like Python or Scala enhance job prospects in this field.

What are the most commonly searched types of Data Engineer jobs in Wisconsin?

The most popular types of Data Engineer jobs in Wisconsin are:

What cities in Wisconsin are hiring for Exempt Data Engineer jobs?

Cities in Wisconsin with the most Exempt Data Engineer job openings:

Exempt Data Engineer jobs near you

Data Architect

Society Insurance Company

Fond Du Lac, WI • On-site, Remote

$62.75 - $80.75/hr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 23 days ago

Job description

Job Information

Job Title

Data Architect

Home Department:

Information Technology

Employment Status:

Exempt; Full-time

Schedule:

Flexible Scheduling Opportunities 

Position Location:

Home Office, Hybrid, and Remote Opportunities in:
CO, GA, IL, IN, IA, MN, TN, TX, and WI

 

This position offers flexible remote/hybrid work scheduling and we are targeting candidates who are located within the 9 states which Society conducts business in. Visit us at https://societyinsurance.com/ to learn more.

 

 

Overview

Protecting our policyholders’ dreams, passions, and livelihoods has a direct impact on the communities we serve. We work towards excellence, conduct ourselves with high integrity, and take our work seriously, but not ourselves. Small Details. Big Difference. Find out how you can make a difference with a career at Society.

Society Insurance is seeking an experienced Data Architect to join our IT team. The Data Architect leads the design and implementation of the enterprise data architecture, translating business and data strategy into scalable, governed, and high-performing data platforms and solutions. The role is accountable for delivering the data architecture vision and enabling execution of the data strategy, including data models, pipelines, platforms, and integration patterns that support analytics, reporting, and operational use cases. The Data Architect partners with business and IT stakeholders to ensure data is trusted, accessible, and aligned to enterprise architecture standards, while driving modernization and continuous improvement of data capabilities. 

 

About the Role 

  • Translates enterprise data strategy into architecture, platforms, and implementation roadmaps aligned to business and analytics needs.
  • Engages with business and IT stakeholders to gather requirements and define end-to-end data architecture solutions.
  • Defines and governs enterprise data architecture standards, including data models, pipelines, integration patterns, and platform design.
  • Designs and builds scalable data platforms and pipelines (data lakes, warehouses, cloud platforms) to support analytics and reporting.
  • Establishes and enforces data modeling standards (logical, physical, dimensional) across systems and domains.
  • Designs and optimizes data ingestion, transformation, and integration patterns (ETL/ELT) to ensure reliable data movement across systems.
  • Ensures data architecture supports data quality, lineage, metadata, and governance frameworks aligned to enterprise standards.
  • Collaborates with architects and engineers to define architecture enablers, guide solution design, and support implementation.
  • Works with data engineering and Agile teams to ensure architecture is implemented effectively across delivery cycles. 
  • Leads evaluation and selection of data technologies, tools, and platforms, including proof-of-concepts (POCs).
  • Develops and maintains data architecture roadmaps, including modernization, consolidation, and performance optimization.
  • Drives modernization of legacy data and reporting platforms to improve scalability, performance, and usability.
  • Ensures alignment between data, application, and infrastructure architecture.
  • Participates in Agile/PI Planning to align teams to a shared technical direction and standards.
  • Acts as a technical expert and leader, mentoring teams and driving adoption of best practices across data architecture and engineering.


About You

  • You are analytical and connect data across systems to support business insight and decision-making.
  • You are creative and innovative and identifies better ways to organize, integrate, and govern data.
  • You are driven by an underlying curiosity and desire to know more about things, people, or issues.
  • You take ownership of challenges and drive improvements in architecture, standards, and processes.
  • You quickly apply new knowledge, tools, and ideas to solve business and data challenges.
  • You enjoy managing the efficiency, accuracy, and integrity of the work that you produce.
  • You effectively prioritize work, manage multiple responsibilities, and meet deadlines.


What it Will Take

  • Bachelor’s degree in computer science, engineering, or related field. 
  • 8+ years of experience in data architecture, data engineering, or data platform design. 
  • Strong experience designing and implementing data pipelines, data lakes, and data warehouses. 
  • Experience with cloud data platforms, (Azure Synapse, Data Factory, Fabric, Databricks, etc.) 
  • Deep understanding of data modeling, ETL/ELT patterns, and data integration. 
  • Experience implementing data architecture aligned to business and analytics needs. 
  • Strong collaboration skills across business, architecture, and engineering teams. 
  • Expertise in one or more of the following, but with versatility to grow in other areas: 
  • Microsoft stack of Data Tools & Technologies (SQL, SSIS, TSQL)
  • Azure SQL Databases
  • Azure Blob storage
  • Azure App Services
  • Microsoft Azure Synapse, Data Factory & Fabric
  • Microsoft stack of Business Intelligence Tools (Power BI)
  • Data Modeling (Idera ERStudio)
  • Data Warehouse Design
  • Data Analytics Concepts
  • Strong organizational skills. 
  • Demonstrated success in managing and/or completing projects. 
  • SAFe Agile Delivery experience highly desirable.


What Society Can Offer 

  • Comprehensive Benefits Package: Salary with bonus plan; health, dental, life, and vision insurance
  • Retirement: Traditional or Roth 401(k) Defined Contribution Plan PLUS Profit-Sharing Plan
  • Work-Life Balance: Company-paid holidays; flexible scheduling; PTO; telecommuting options
  • Education: Career Coaching; company-paid courses; student loan and tuition reimbursement
  • Community: Charitable Match; paid volunteer time; team sponsorships
  • Wellness: Employee Assistance Program; wellness initiatives/rewards; health coaching; and more


Society Insurance prohibits discrimination and harassment of any type against applicants and employees on the basis of race, color, religion, sex, national origin, age, handicap, disability, genetics, veteran status or military service, marital status or sexual orientation, gender identity or expression, or any other characteristic or status protected by federal, state or local laws. Society Insurance also provides reasonable accommodations to qualified individuals with disabilities in accordance with the requirements of the Americans with Disabilities Act and applicable state and local laws.


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