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Data Extraction Jobs in Wisconsin (NOW HIRING)

AWS Data Architect

Neenah, WI · On-site

$64.50 - $82.75/hr

Architect and oversee ETL/ELT pipelines ensuring reliable, secure, and efficient data flow * Collaborate with data engineers, analysts, and business stakeholders to translate requirements into ...

Data Engineer

Seymour, WI

$116K - $140K/yr

Build and optimize ETL/ELT workflows from multiple data sources. * Develop complex SQL queries, stored procedures, and data transformations. * Work with data warehouses, data lakes, and cloud-based ...

Jr. Data Engineer

Germantown, WI · On-site

$116K - $139K/yr

Key ResponsibilitiesAssist in building and maintaining data pipelines (ETL/ELT)Support data ingestion from internal and external sourcesHelp clean, transform, and validate data for analytics ...

WI · On-site

$111K - $133K/yr

Aantoonbare ervaring in het ontwerpen en implementeren van Extract, Transform, Load (ETL) processen * Aantoonbare werkervaring met Databricks * Aantoonbare ervaring met data lake-oplossingen (Azure ...

New

Develop, optimize, and maintain complex QlikView load scripts, managing data extraction from multiple sources and building a robust QVD layer. * Create intuitive, high-performance dashboards and ...

WI · On-site

$160K - $200K/yr

Lead data mapping, extraction, transformation, migration, and analytics activities from VA legacy systems to modernized platforms * Develop and maintain the Data Mapping and Validation Plan, Data ...

Data Warehouse Developer

Eau Claire, WI · Hybrid

$48.75 - $66.75/hr

Design and support ETL/ELT workflows, implement business rules, and ensure data quality, integrity, and consistency throughout the data pipeline. * Optimize ETL processes, existing reports and new ...

Data Architect

Racine, WI · On-site

$67/hr

Architect robust ETL/ELT frameworks and data integration solutions. * Design scalable data pipelines supporting batch and near real-time processing. * Define data integration patterns across ERP, CRM ...

WI · On-site

$104K - $125K/yr

Develop ETL/ELT processes that support data warehousing, analytics, reporting, and business intelligence use cases. * Build and optimize Spark jobs, with a focus on performance, scalability ...

New

WI · On-site

Coordinate preparation and distribution of monthly GPV compliance reports (data extraction, KPI tracking, trend analysis) with cross-functional stakeholders. * Maintain oversight of GPV procedures ...

Data Warehouse Developer

Eau Claire, WI · On-site

$48.75 - $66.75/hr

Design and support ETL/ELT workflows, implement business rules, and ensure data quality, integrity, and consistency throughout the data pipeline. * Optimize ETL processes, existing reports and new ...

Perform independent data analysis by querying data sources (e.g., SQL) to extract insights and create actionable artifacts. * Interpret technical designs, architecture, and data models to collaborate ...

Enterprise Data Architect Primary Purpose * Responsiblefor designing and architecting data/MDM ... Coordinateand participate in the ETL (extract, transform, load) process for anymigrations.

Enterprise Data Architect Primary Purpose Responsible for designing and architecting data/MDM ... Coordinate and participate in the ETL (extract, transform, load) process for any migrations. Plan ...

WI · On-site

$111K - $133K/yr

Your Skills Key responsibilities Design, implement and maintain ETL/ELT pipelines using tools like Apache Airflow, dbt or Apache Flink. Work with streaming data architectures to process real-time ...

Showing results 21-40

Data Extraction information

See Wisconsin salary details

$10

$25

$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:

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.

AWS Data Architect

Neenah, WI • On-site

Princeton IT Services
11 - 50 employees

$64.50 - $82.75/hr

Contractor

Re-posted 22 days ago


Job description

Job Title: AWS Data Architect

Location: Neenah, WI

Job type: Contract

Position Overview

We are seeking a highly skilled AWS Data Architect to design, build, and optimize cloud-based data platforms that enable scalable analytics and business intelligence. The ideal candidate will bring deep expertise in AWS cloud services, data modeling, data lakes, ETL/ELT pipelines, and big data ecosystems, and will work closely with engineering and business teams to deliver secure, high-performance data solutions.

Key Responsibilities

  • Design and implement end-to-end data architectures on AWS, including data lakes, data warehouses, and streaming solutions
  • Define data ingestion, transformation, and storage strategies using AWS-native services
  • Architect and oversee ETL/ELT pipelines ensuring reliable, secure, and efficient data flow
  • Collaborate with data engineers, analysts, and business stakeholders to translate requirements into scalable data solutions
  • Establish and enforce data governance, security, and compliance frameworks following AWS best practices
  • Optimize data platforms for performance, scalability, and cost efficiency
  • Lead and support data migration initiatives from on-premises or other cloud platforms to AWS
  • Provide technical leadership, guidance, and mentorship to data engineering teams
  • Document architectures, standards, and best practices

Required Skills & Qualifications

  • Bachelor’s or Master’s degree in Computer Science, Information Systems, or a related field
  • 7+ years of experience in data architecture, data engineering, or cloud architecture
  • Strong hands-on expertise with AWS services, including:

Storage & Compute:

  • Amazon S3, EC2, Lambda, ECS, EKS

Data Processing & Orchestration:

  • AWS Glue, EMR, Kinesis, Step Functions

Analytics & BI:

  • Amazon Redshift, Athena, QuickSight

Security & Governance:

  • IAM, KMS, Lake Formation
  • Proficiency in SQL and Python
  • Strong experience with ETL frameworks and data pipeline design
  • Solid understanding of data modeling techniques (3NF, Dimensional Modeling, Data Vault)
  • Familiarity with data governance, metadata management, and data quality practices
  • Excellent communication and stakeholder management skills

Preferred Qualifications

  • Experience with large-scale enterprise data platforms
  • Exposure to real-time or streaming data architectures
  • Knowledge of DevOps / CI-CD practices for data platforms
  • AWS certifications (e.g., AWS Certified Data Analytics – Specialty, Solutions Architect)