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Data Extraction Jobs in Wisconsin (NOW HIRING)

Data Scientist II

Madison, WI · On-site +1

$80K/yr

CRDS team members provide support with research design, data extractions, data transformation and compute needs. CRDS is dedicated to enabling high-quality, data-driven research. The CRDS team ...

Data Solution Architect

Milwaukee, WI · On-site

$123K - $234K/yr

Develop and maintain data pipelines, ensuring efficient extraction, transformation, and loading (ETL) processes for structured and unstructured data. * Apply best practices in dimensional modeling to ...

Data Solution Architect

Madison, WI · On-site

$123K - $234K/yr

Develop and maintain data pipelines, ensuring efficient extraction, transformation, and loading (ETL) processes for structured and unstructured data. * Apply best practices in dimensional modeling to ...

The ideal candidate will be proficient in custom development, Z-table data extraction, and validating detailed technical documentation that maps extracted data to business logic. This role requires ...

Data Analyst

Madison, WI · Remote

$115K/yr

Proficiency in SQL for data extraction, transformation, and analysis. * Working knowledge of data warehousing concepts, including ETL/ELT processes, data pipelines, and layered data architectures.

SAP SME Consultant - ABAP

Neenah, WI · On-site

$63.25 - $85.75/hr

The ideal candidate will be proficient in custom development, Z-table data extraction, and validating detailed technical documentation that maps extracted data to business logic. This role requires ...

Data Analyst

Madison, WI · Remote

$115K/yr

Proficiency in SQL for data extraction, transformation, and analysis. * Working knowledge of data warehousing concepts, including ETL/ELT processes, data pipelines, and layered data architectures.

Reltio MDM Solution Architect

Milwaukee, WI · On-site

$62 - $81.75/hr

Reltio Data Extraction * Lead teams of architects, consultants, and developers, onshore and offshore remote and on-site, through the successful design, configuration and testing of Reltio solutions.

Hands-on experience with Alteryx, DOMO, and SQL (strong in data extraction and manipulation) * Familiarity with cloud platforms such as AWS, Azure, Snowflake, or Google Cloud * Strong Excel skills ...

Hands-on experience with Alteryx, DOMO, and SQL (strong in data extraction and manipulation) * Familiarity with cloud platforms such as AWS, Azure, Snowflake, or Google Cloud * Strong Excel skills ...

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Data Extraction information

See Wisconsin salary details

$10

$25

$63

How much do data extraction jobs pay per hour?

As of Jul 9, 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 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.

How to become a data extractor?

To become a data extractor, you typically need strong skills in data management, familiarity with data extraction tools like SQL, Python, or specialized software, and attention to detail. Many roles require a high school diploma or higher, and some may prefer certifications in data analysis or related fields. Gaining experience through internships or entry-level positions can also help build relevant skills.

What are the key skills and qualifications needed to thrive in the Data Extraction position, 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.

What is a Data Extraction job?

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 is a data extraction job?

A data extraction job involves retrieving specific information from various sources such as websites, databases, or documents. It often requires skills in using tools like web scrapers or data management software and may involve cleaning and organizing data for analysis or reporting.

What does a data extractor do?

A data extractor is responsible for collecting and retrieving data from various sources such as websites, databases, or documents. They often use tools like web scraping software or data management systems and need strong attention to detail and technical skills. The role involves transforming unstructured data into organized formats for analysis or storage.
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:
Infographic showing various Data Extraction job openings in Wisconsin as of July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $53,522 per year, or $25.7 per hour.

Data Scientist II

Wisconsin

Madison, WI • On-site, Remote

$80K/yr

Full-time

Retirement, PTO

Posted 5 days ago


Job description

Current Employees: If you are currently employed at any of the Universities of Wisconsin, log in to Workday to apply through the internal application process.Job Category:Academic StaffEmployment Type:RegularJob Profile:Data Scientist IIJob Summary:

The Office of Informatics and Information Technology (IIT) is seeking an outstanding candidate for a Data Scientist II position to manage and fulfill research data needs for a grant funded project. The responsibilities of the incumbent will include collaborating with faculty, staff, and research partners to support the design and execution of research studies using robust and scientifically sound data strategies. This role will involve contributing to research design, extracting and integrating data from sources such as electronic health records, transforming and curating data to create highquality, researchready datasets, and supporting analytic efforts aligned with study objectives. The incumbent will also be responsible for maintaining clear documentation of data sources, methodologies, and assumptions to support transparency, reproducibility, and effective collaboration.

This role offers unique opportunities to contribute to innovative research and development within our team.

It is anticipated that this position will be remote and requires work be performed at an offsite, non-campus work location.

Key Job Responsibilities:
  • Documents approaches to address research questions and contributes to the establishment of reproducible research methodologies and analysis workflows

  • Composes and assembles reproducible workflows and reports to clearly articulate patterns to researchers and/or administrators

  • Independently identifies and implements appropriate data science techniques to find data patterns and answer research questions chosen by the lead researcher including data visualization, statistical analysis, machine learning, and data mining

  • Organizes and automates project steps for data preparation and analysis

  • Prepares data sets for analysis including cleaning/quality assurance, transformations, restructuring, and integration of multiple data sources

Department:

School of Medicine and Public Health, Office of Informatics and Information Technology, Research Data Services.

This position is within the School of Medicine and Public Health's Office of Informatics and Information Technology (IIT). IIT is a multidisciplinary team of data scientists, engineers, developers, and IT support staff. We offer a variety of Informatics and IT services to departments and research staff within the School of Medicine and Public Health and beyond to support the conduct of high-quality clinical and translational research.

  • Informatics:We provide innovative solutions and training for a broad spectrum of clinical and translational research utilizing real-world data to facilitate rapid translation of research findings into clinical practice, with an emphasis on precision medicine, healthcare delivery, and population health.

  • Technology Solutions:We provide technology solutions to the School of Medicine and Public Health including cybersecurity, educational technology, and IT support.

This role is part of the Clinical Research Data Services (CRDS) team within SMPH-IIT. The CRDS team plays a critical role in advancing clinical research across SMPH by providing comprehensive data and computational support to investigators and research teams. CRDS team members provide support with research design, data extractions, data transformation and compute needs.

CRDS is dedicated to enabling high-quality, data-driven research. The CRDS team collaborates with faculty, staff, and research partners to ensure studies are designed and executed using robust data strategies. Services include support for research design, data extraction and integration from sources such as electronic health records, data transformation and analysis to create research ready datasets.

This position and the CRDS team offer the opportunity to work in a collaborative, interdisciplinary environment that values innovation, precision, and impact in clinical research.

Compensation:

The starting salary for the position is $80,000; but is negotiable based on experience and qualifications.

Employees in this position can expect to receive benefits such as generous vacation, holidays, and sick leave; competitive insurances and savings accounts; retirement benefits. For more information, refer to the campus benefits webpage and the SMPH Academic Staff Benefits Flyer

Required Qualifications:
  • Experience writing SQL code to extract and manipulate data from large relational databases
  • Experience writing Python code to manipulate and analyze datasets
  • Experience developing analytics dashboards
  • Strong organizational, analytical, verbal and written communication skills, and interpersonal skills
  • Experience working with Electronic Medical Records (EMR)/Electronic Health Records (EHR)
Preferred Qualifications:
  • Certified in Epic Cogito / Clarity / Caboodle
  • Data science or biostatistics experience
  • Experience working with medical images and associated reports
  • Experience designing, building, and maintaining databases
  • Experience with clinical vocabularies (ICD, LOINC, SNOMED, CPT, etc.)
  • Experience with clinical research common data models (OMOP, i2b2, PCORNet)
  • Experience working with web APIs
  • Experience with FHIR and HL7 data feeds
  • Knowledge of HIPAA and other regulations governing PHI
  • Experience reviewing other team members' technical work and providing constructive feedback
Education:

Bachelor's degree preferred

How to Apply:

For the best experience completing your application, we recommend using Chrome or Firefox as your web browser.

To apply for this position, select either "I am a current employee" or "I am not a current employee" under Apply Now. You will then be prompted to upload your application materials.

Important: The application has only one attachment field. Upload the following documents in that field, either as a single combined file or as multiple files in the same upload area. Failure to submit the required documents will result in no longer being considered for the position.

Cover letter (required)
Resume

Your cover letter should address how your training and experience aligns with the required and preferred qualifications listed above. Application reviewers will rely on these written materials to determine which applicants move forward in the process. References will be requested from final candidates. All applicants will be notified once the search concludes and a candidate is selected

University sponsorship is not available for this position, including transfers of sponsorship and TN visas.The selected applicant will be responsible for ensuring their continuous eligibility to work in the United States (i.e. a citizen or national of the United States, a lawful permanent resident, a foreign national authorized to work in the United States without the need of an employer sponsorship) on or before the effective date of appointment.This position is an ongoing position that will require continuous work eligibility.If you are selected for this position you must provide proof of work authorization and eligibility to work.

Contact Information:

Cody Roekle, croekle@wisc.edu608-263-7676

Relay Access (WTRS): 7-1-1. See RELAY_SERVICE for further information.

Institutional Statement on Diversity:

Diversity is a source of strength, creativity, and innovation for UW-Madison. We value the contributions of each person and respect the profound ways their identity, culture, background, experience, status, abilities, and opinion enrich the university community. We commit ourselves to the pursuit of excellence in teaching, research, outreach, and diversity as inextricably linked goals.
The University of Wisconsin-Madison fulfills its public mission by creating a welcoming and inclusive community for people from every background - people who as students, faculty, and staff serve Wisconsin and the world.

The University of Wisconsin-Madison is an Equal OpportunityEmployer.

Qualified applicants will receive consideration for employment without regard to, including but not limited to, race, color, religion, sex, sexual orientation, national origin, age, pregnancy, disability, or status as a protected veteran and other bases as defined by federal regulations and UW System policies. We promote excellence by acknowledging skills and expertise from all backgroundsand encourage all qualified individuals to apply. For more information regarding applicant and employee rights and to view federal and state required postings, visit the Human Resources Workplace Poster website.

To request a disability or pregnancy-related accommodationfor any step in the hiring process (e.g., application, interview, pre-employment testing, etc.), please contact the Divisional Disability Representative (DDR)in the division you are applying to.Please make your request as soon as possible to help the university respond most effectively to you.

Employment may require a criminal background check. It may also require your references to answer questions regarding misconduct, including sexual violence and sexual harassment.
The University of Wisconsin System will not reveal the identities of applicants who request confidentiality in writing, except that the identity of the successful candidate will be released. See Wis. Stat. sec. 19.36(7).
The Annual Security and Fire Safety Report contains current campus safety and disciplinary policies, crime statistics for the previous 3 calendar years, and on-campus student housing fire safety policies and fire statistics for the previous 3 calendar years. UW-Madison will provide a paper copy upon request; please contact the University of Wisconsin Police Department.