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Data Extraction Jobs in Wisconsin (NOW HIRING)

Rubick

Data Crawling - Consultant

Oregon, WI · On-site

Develop, maintain, and optimize web crawlers to extract product data from eCommerce websites and marketplaces. * Collect structured and unstructured product information, including product details ...

Syntricate Technologies

Data Engineer

Milwaukee, WI · On-site

$112K - $135K/yr

Responsibilities : • IT experience in Design, Development, and implementation of large scale and medium scale. • Data Warehousing applications using ETL tool IBM Infosphere Information server ...

Shrive Technologies LLC

WI · On-site

$104K - $125K/yr

... data extraction and transformation for powerbi. * 4. Ensure the scalability, performance, and reliability of powerbi solutions. * 5. Stay updated on the latest trends and best practices in microsoft ...

New

Soteria Reinsurance Ltd.

WI · On-site

Senior Data Scientist - Applied AI, NLP, and LLM Solutions Note: Fidelity will not provide ... Key assignments may include document processing and information extraction, schema mapping ...

Bakertilly

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 ...

Bakertilly

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 ...

Capgemini

WI · On-site

$103K - $128K/yr

Lead architecture decisions for data extraction, transformation, and loading (ETL/ELT)* Drive cross-functional alignment (Product, Engineering, Data, Business stakeholders)* Establish data standards ...

Socket.dev

WI · On-site

$104K - $125K/yr

Have expert‑level skills in SQL, Snowflake, DBT, for complex data extraction, manipulation, transformation, and query optimization. * Possess a deep understanding and practical experience with data ...

US Bank

Senior Data Scientist

Brookfield, WI · On-site

$132K - $155K/yr

... extract, collect, organize, analyze and interpret trends or patterns in complex data sets - Experience in analytics, advanced analytics/statistics, predictive modeling, machine learning, data ...

U.S. Bank

WI · On-site

$132K - $155K/yr

Strong analytic skills with the ability to extract, collect, organize, analyze and interpret trends or patterns in complex data sets * Experience in analytics, advanced analytics/statistics ...

New

Capgemini

WI · On-site

$56K - $87K/yr

Develop and maintain ETL/ELT pipelines* Perform data extraction, transformation, and loading tasks* Assist in defining data mappings and transformation rules* Execute data validation and ...

Sarian, Inc.

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.

Princeton IT Services

SAP SME Consultant

Neenah, WI · On-site

$63.75 - $86.75/hr

Data extraction logic * Field-level mappings * Business rule interpretation * Source-to-target lineage * Ensure specifications are clear enough for data engineers to develop accurate and scalable ...

DTN (Data Transmission Network)

WI · On-site

$109K - $145K/yr

Experience with ETL processes, SQL development, and data transformation workflows. * Experience working with relational databases such as Oracle, PostgreSQL, or MySQL. * Experience with AWS cloud ...

Princeton IT Services

AWS Data Architect

Neenah, WI · On-site

$64.50 - $82.75/hr

The ideal candidate will have strong expertise in AWS services, data modeling, data lakes, ETL pipelines, and modern big data ecosystems. Open to candidates willing to relocate to Wisconsin Key ...

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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 Crawling - Consultant

Oregon, WI • On-site

Rubick
See more jobs at Rubickexternal

Other

Posted 26 days ago

Job description

You will be responsible for building and maintaining Rubick's data acquisition engine by extracting, validating, and structuring product information from eCommerce websites and marketplaces. This role focuses on developing scalable web crawling solutions that power Product Discovery, Search, Catalog Intelligence, and Market Intelligence platforms.

The role involves three areas: Part 1: The Fundamentals | Part 2: AI-Driven Data Crawling Excellence | Part 3: Innovation & Improvements

Part 1: The Fundamentals
  • Develop, maintain, and optimize web crawlers to extract product data from eCommerce websites and marketplaces.
  • Collect structured and unstructured product information, including product details, pricing, images, specifications, and availability.
  • Clean, validate, and organize extracted datasets to ensure accuracy and consistency.
  • Monitor crawler performance, identify failures, and resolve data extraction issues.
  • Collaborate with Product, Engineering, and Data teams to ensure reliable and timely data collection.
  • Maintain documentation for crawling processes, extraction rules, and data quality standards.
Part 2: AI-Driven Data Crawling Excellence
  • Leverage AI-powered extraction techniques to improve data accuracy and extraction efficiency.
  • Build intelligent crawling workflows using Python and modern web automation frameworks.
  • Implement automated data validation and monitoring systems to maintain high-quality datasets.
  • Collaborate with AI and Data Engineering teams to support Machine Learning models and Product Intelligence systems.
  • Continuously optimize crawling performance for speed, scalability, and reliability.
  • Identify opportunities to automate repetitive extraction and validation workflows.
  • Improve data collection strategies by adopting new crawling technologies and AI-assisted solutions.
  • Build reusable crawling frameworks and standardized extraction pipelines.
  • Contribute to knowledge repositories, documentation, and process improvements across the data acquisition function.
To Have
  • 1+ year of experience in Web Crawling, Data Scraping, Product Matching, Data Extraction, or similar roles.
  • Strong proficiency in Python for web scraping and automation.
  • Hands‑on experience with BeautifulSoup, Scrapy, Selenium, Playwright, or similar frameworks.
  • Good understanding of HTML, CSS, XPath, JSON, and DOM structures.
  • Strong analytical and problem‑solving skills.
  • Ability to work with large datasets while maintaining high data quality.
  • Experience in eCommerce, Retail, Marketplace Operations, or Catalog Management is preferred.
  • Exposure to AI-assisted data extraction, Product Intelligence, or Machine Learning data pipelines is a strong advantage.
About Rubick : Company Overview

Rubick OS is a leading platform for brands and marketplaces, enabling seamless management of catalog automation, pricing and competitive intelligence, product listing intelligence, CAST systems, and brand and assortment intelligence.

Our solutions are used across five countries by major brands and marketplaces, including Amazon, Myntra, Reliance Group, Nykaa, Flipkart, Rare Rabbit, Decathlon, Celio, The Bay, Kiabi, Myer, Jumbo, and many more.

Work Model

Work from home - Monday to Saturday

Team Size

250+ Employees

Investors

Invested by Innospark US, Betatron Hong Kong, MJV India, 1Crowd India , and other investors.

Rubick.ai is a place to work if you want to build something foundational rather than incremental—it’s aiming to become the AI operating layer for ecommerce, solving complex, real-world problems across cataloging, pricing, and marketplace operations at scale.

You get high ownership, direct impact, and exposure to various parts of the business, making you an entrepreneur in-house. Rubick operates in the AI segment, which means you will be at the forefront of the technological revolution.

Rubick is profitable and growing and is looking to work with 10,000 brands in the next 2-3 years .

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