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Data Extraction Jobs in Wisconsin (NOW HIRING)

Data Engineer

Milwaukee, WI · On-site

$112K - $135K/yr

Experience with an ETL tool like SSIS, Informatica, Talend, etc. Experience with MLOps pipelines (DVC, Airflow, etc.) Experience with API data integrations Proficient knowledge of Python and ...

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 ...

Experience with wide area lidar editing, 3D breakline compilation, and deliverable QA/QC. * Experience with lidar data extraction for corridor mapping projects. * Experience with orthoimage editing.

WI · On-site

$130 - $190/hr

Design and oversee data integration processes (ETL/ELT pipelines) to enable seamless data flow between OU Health and other entities as needed.* Work closely with clinical, research, and ...

Data & Integration Manager

Brookfield, WI · On-site

$150K - $175K/yr

Oversee data ELT, ETL, warehousing, semantic modeling, and orchestration processes across operational, analytical, and reporting environments to support enterprise analytics and reporting teams.

WI · On-site

$120 - $180/hr

And today, the data we extract helps thousands of organizations make smarter business decisions, secure competitive advantage, and drive sustainable growth. Today, over 3,000 companies and 1 million ...

Develop, test, and maintain ETL/ELT processes that ensure data integrity and reliability * Provide full lifecycle support of data integration solutions from implementation through ongoing ...

Creates automated data pipelines to assist in data extraction, transformation, and storage for report creation, analytics, and self-service * Conducts data profiling of source data, including ...

Creates automated data pipelines to assist in data extraction, transformation, and storage for report creation, analytics, and self-service * Conducts data profiling of source data, including ...

Basic SQL knowledge for data extraction and reporting * Familiarity with Power BI, Tableau, or similar visualization tools * Experience working with large datasets and Excel-based analytics

Showing results 41-60

Data Extraction information

See Wisconsin salary details

$10

$25

$63

How much do data extraction jobs pay per hour?

As of Aug 23, 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:

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.

$112K - $135K/yr

Full-time

Medical, Dental, Vision, Retirement

This job post has expired today. Applications are no longer accepted.


Marquette University rating

6.9

Company rating: 6.9 out of 10

Based on 13 frontline employees who took The Breakroom Quiz

461st of 621 rated colleges and universities


Job description

Posting Details
Posting Details
Posting Number
NA01568
Position Information
Position Title
Data Engineer
State
Employment Status
Full Time
Position Status
Regular
If Limited Term (End Date of Assignment, Project, or Grant)
Position Type
Staff
Job Family
Information Technology
# Hours Per Week
Position Overview
Be The Difference Begins with Great People.
Are you looking for a new opportunity where you can make the difference in the lives of students and faculty? We're always looking for highly talented individuals to join our team - people who think big, care deeply, and believe in being the difference in their work and community.
We prioritize student success, access to education, and service in our work to educate well-rounded servant leaders who transform their fields, our society and the world. Our Catholic, Jesuit approach emphasizes student engagement with the world around them and formation of the heart and mind.
We believe in our mission: The search for truth, the discovery and sharing of knowledge, the fostering of personal and professional excellence, the promotion of a life of faith, and the development of leadership expressed in service to others. These core values guide our relationships with our students, each other, and our community.
Marquette University offers a rich and competitive Total Rewards package including medical, dental, vision, 403(b) with up to 8% university match, generous time off package, and tuition benefits for employees, spouses, and dependents with no payback requirement! For more information, please view our Total Rewards guide.
This is your next opportunity to join an organization that invests in their employees' career journey by diversifying their skills, deepening their expert knowledge, encouraging a healthy work-life balance, focusing on personal wellbeing, providing leadership training, and sustaining a culture of respect and inclusion.
The Data Engineer is responsible for the comprehensive data and reporting infrastructure at Marquette. This role involves developing and maintaining data solutions, including an enterprise data warehouse, data visualization, and operational reporting. Responsibilities include end to end solution architecture, database administration, converting customer requirements into BI applications, and providing technical support and training. The Data Engineer works directly with customers to deliver end-to-end data solutions, provides on-call support, and implements process improvements to enhance data delivery and efficiency
Duties and Responsibilities
1. Develop, maintain and monitor data analytic solutions, including the data warehouse, data visualization tools and operational reporting solutions.
2. Responsible for end-to-end solution architecture and development, from modeling database tables and writing custom ETL code to improving indexing and developing testing modules.
3. Work directly with units on campus to understand their data needs and convert complex requirements into sound business intelligence applications within the BI environment. Provide technical support and training to users on data-related issues.
4. Database administration including regular monitoring, server setup, security provisioning and maintaining a secure database environment to support reporting efforts.
5. Identify, design and implement internal process improvements to enhance data delivery and automate manual processes. Research and integrate new technologies and software engineering tools to reduce complexity, increase capacity and improve overall efficiency
Required Knowledge, Skills and Abilities
Bachelor's degree in Information Technology, Computer Science, or a related field; or comparable experience.
Minimum of 3 years' experience in data analytics or data solutions
Demonstrated experience writing complex SQL queries and designing reporting data sets for business intelligence applications
Demonstrated experience managing and working with common databases (SQL Server, Oracle, MySql, etc.)
Previous workplace experience utilizing reporting and visualization tools to develop and publish business reports
Demonstrated experience with scripting language (Python, R, PowerShell, or others).
Strong Analytical and problem-solving skills
Demonstrated continuous improvement mindset
Excellent communication and collaboration skills
Preferred Knowledge, Skills and Abilities
Experience with Microsoft BI tools.
Experience with an ETL tool like SSIS, Informatica, Talend, etc.
Experience with MLOps pipelines (DVC, Airflow, etc.)
Experience with API data integrations
Proficient knowledge of Python and experience building customized data pipelines
Department
IT Services
Posting Date
05/19/2026
Closing Date
Special Instructions to Applicants
EOE Statement
It is the policy of Marquette University to provide equal employment opportunities (EEO) to all employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status or any other applicable federal or state-protected classification.

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