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Data Extraction Jobs in Wisconsin (NOW HIRING)

Society Insurance Company

Data Architect

Fond Du Lac, WI · On-site

$62.75 - $80.75/hr

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 ...

Society Insurance

Data Architect

Fond Du Lac, WI · On-site

$62.75 - $80.75/hr

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 ...

Core BTS

GCP Data Engineer

Appleton, WI · On-site

$75 - $80/hr

... o Data ETL/ELT processes o Data profiling and anomaly detection o Data modeling (Dimensional/Kimball) o SQL o Python o Strong background in relational database platforms o DevOps/Continuous ...

Sanford Health

Quality Data Analyst

Marshfield, WI · On-site

$24/hr

Learn, understand and analyze process workflows within various functional areas to best understand improvements and associations, specifically with relation to data reporting, extraction and ...

Expert Technology Services

Lead Data Engineer

Madison, WI · On-site

$115K - $138K/yr

... level ETL/ELT pipelines using Python and Google Cloud Platform (GCP) tools. - Ensure high performance and scalability of data processing workflows with BigQuery, Dataflow, Dataproc/PySpark, Cloud ...

Conch Technologies Inc

Lead Data Engineer

Madison, WI · On-site

$115K - $138K/yr

Lead Data Engineer Location: Madison, WI (Hybrid) Duration: 6+months C2H (Contract to Hire ... Experience building enterprise-scale ETL/ELT pipelines. * Experience working with large-volume ...

SysLogic, Inc.

Data Analytics Architect

Brookfield, WI · On-site +1

Implement data integration pipelines using Microsoft Azure Data Factory, Azure Data Lake, and other relevant tools to extract, transform, and load data from various sources into a unified data ...

SysLogic, Inc.

WI · On-site

Implement data integration pipelines using Microsoft Azure Data Factory, Azure Data Lake, and other relevant tools to extract, transform, and load data from various sources into a unified data ...

Continuus Technologies LLC

Staff Data Engineer

Germantown, WI · On-site

$116K - $139K/yr

... ETL/ELT pipelinesStrong understanding of distributed systems and data architecturePreferred ExperienceCloud data platforms (AWS, Azure, or GCP)Orchestration and transformation tools (Airflow, dbt ...

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Data Extraction information

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$10

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$63

How much do data extraction jobs pay per hour?

As of Sep 14, 2026, the average hourly pay for data extraction in Wisconsin is $25.73, according to ZipRecruiter salary data. Most workers in this role earn between $13.83 and $28.54 per hour, depending on experience, location, and employer.

What is a data extraction?

A Data Extraction job involves collecting and retrieving data from various sources, such as databases, documents, websites, and APIs. This data is then transformed, cleaned, and structured for analysis or storage. Professionals in this role use tools like SQL, Python, or web scraping technologies to automate the process. Data extraction is essential for businesses to gain insights, make data-driven decisions, and streamline operations.

What are the typical daily responsibilities for someone working in data extraction?

Professionals in Data Extraction typically spend their days gathering data from a variety of sources—such as databases, websites, or documents—using specialized tools or scripts. They are responsible for cleaning, formatting, and validating this data to ensure accuracy and consistency before delivering it to analysts or other stakeholders. Collaborating with data analysts, IT teams, and business units is common to clarify data requirements and resolve any discrepancies. Most roles involve a mix of independent technical work and teamwork, with some positions requiring regular reporting or documentation of data extraction processes.

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

To excel in Data Extraction, candidates should have strong analytical skills, attention to detail, and a background in data management or computer science. Experience with extraction tools and programming languages such as SQL, Python, R, or ETL platforms, as well as familiarity with data governance standards, is often required. Strong organizational, problem-solving, and communication skills help professionals handle complex datasets and collaborate effectively across teams. These competencies ensure accurate, efficient data retrieval and support informed business decisions.

How to become a data extraction?

To become a data extraction specialist, develop skills in data management, programming languages like Python or SQL, and familiarity with data extraction tools such as web scrapers or ETL software. Gaining experience through relevant projects or certifications can improve job prospects, and understanding data privacy and security is also beneficial.

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

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

What are popular job titles related to Data Extraction jobs in Wisconsin?

For Data Extraction jobs in Wisconsin, the most frequently searched job titles are:

What job categories do people searching Data Extraction jobs in Wisconsin look for?

The top searched job categories for Data Extraction jobs in Wisconsin are:

Data Extraction jobs near you
Infographic showing various Data Extraction job openings in Wisconsin as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $53,522 per year, or $25.7 per hour.

Data Architect

Fond Du Lac, WI • On-site

Society Insurance Company
Insurance Services • 201 - 500 employees
Learn more about Society Insurance Companyexternal

$62.75 - $80.75/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

This job post has expired 2 days ago. Applications are no longer accepted.

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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