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Data Processing Jobs in Wisconsin (NOW HIRING)

Princeton IT Services

AWS Data Architect

Neenah, WI · On-site

$64.50 - $82.75/hr

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 ...

Pwc

Data Engineer - Manager

Milwaukee, WI · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and ...

Jobtailor

WI · On-site

$90 - $150/hr

Support migration of legacy ETL, batch, and database-driven Finance processes into modern stack * Implement data quality checks, validation rules, monitoring, and reconciliation processes to improve ...

Ontech Talent

Data & Integration Manager

Brookfield, WI · On-site

$150K - $175K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Deliver measurable process improvements using automation and integration solutions using Power Platform and other systems (Power Apps, Power Automate, Copilot Studio, etc.). * Establish development ...

Wisconsin

Research Data Engineer

Madison, WI

$82K/yr

  • Retirement

  • PTO

Processing would include data from multiple sources, including geographically-linked metrics of socioeconomic factors and measures of health outcomes, furthering research on and interventions in the ...

Milwaukee Tool

Sr Data Engineer

Menomonee Falls, WI

$106K - $144K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

Handson experience with distributed data processing technologies such as Apache Spark. * Strong experience designing and tuning distributed data processing systems at scale. * Proven experience ...

TTEC

Data Analyst - Excel - Power BI

Krakow, WI

The Data Analyst will support TTEC programs in data processing. You will create reports to highlight any differences using Excel and Power BI and analyze data to identify likely errors and prepare ...

Pwc

Data Engineer - Senior Manager

Milwaukee, WI · On-site

$124K - $280K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and ...

Pwc

Data Engineer - Senior Associate

Milwaukee, WI · On-site

$77K - $202K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and ...

Datavant

CPC Processor Customer Support

Madison, WI · On-site

Data Entry, Medical Records, Health Care, Insurance Claims Processing and Proof Reading/Editing of Documents * Ability to stay organized while working quickly. Strong attention to detail is also ...

Direct Supply

Data Automation Manager

Milwaukee, WI · On-site

Optimizes Work Processes - Streamlines workflows by harnessing data, AI, and technology. Identifies opportunities for efficiency and incorporates new processes and technology. Defines new success ...

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Showing results 21-40

All JobsData Processing JobsData Processing Jobs in Wisconsin

Data Processing information

See Wisconsin salary details

$12

$20

$35

How much do data processing jobs pay per hour?

As of Aug 18, 2026, the average hourly pay for data processing in Wisconsin is $20.46, according to ZipRecruiter salary data. Most workers in this role earn between $16.25 and $22.55 per hour, depending on experience, location, and employer.

What is data processing?

A Data Processing job involves collecting, organizing, and managing data to ensure accuracy and accessibility. Professionals in this role use software tools to input, clean, analyze, and process data for businesses or organizations. They may also generate reports and automate workflows to streamline data handling. Strong attention to detail and proficiency in data management tools are essential for success in this field.

What are the typical daily responsibilities of someone working in data processing?

A typical day for a Data Processing professional involves entering, validating, and updating records in databases or spreadsheets to ensure data integrity. You may also be responsible for generating reports, cleaning large data sets, and identifying discrepancies or errors for correction. Collaboration with team members or departments is common to clarify data requirements and resolve issues. Staying organized and attentive to detail is essential because the quality of processed data can impact decision-making across the organization.

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

To thrive in Data Processing, you need strong analytical abilities, attention to detail, and proficiency with spreadsheets and database management, often supported by an associate's degree or relevant experience. Familiarity with tools like Microsoft Excel, SQL, or data entry software, as well as certifications such as Certified Data Processor (CDP), are frequently expected. Strong organizational skills, time management, and the ability to troubleshoot problems efficiently are valued soft skills. These competencies are crucial for ensuring data accuracy, meeting deadlines, and supporting smooth information operations within an organization.

What do you do as a data processing?

A data processing professional collects, organizes, and analyzes data to ensure accuracy and usability. They use tools like spreadsheets, databases, and data management software to clean, transform, and prepare data for reporting or decision-making. Attention to detail and knowledge of data handling techniques are essential in this role.

What is a data processing job role?

A data processing job involves collecting, organizing, and converting raw data into a usable format for analysis or reporting. It often requires skills in data management tools, attention to detail, and knowledge of data formats and software such as Excel, SQL, or specialized processing programs.

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

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

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

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

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

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

What cities in Wisconsin are hiring for Data Processing jobs?

Cities in Wisconsin with the most Data Processing job openings:

Data Processing jobs near you
Infographic showing various Data Processing job openings in Wisconsin as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $42,547 per year, or $20.5 per hour.

Staff Data Engineer, Data Platform - IntelliScript (Remote)

Milliman

Brookfield, WI • On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 9 days ago

Milliman rating

8.5

Company rating: 8.5 out of 10

Based on 7 frontline employees who took The Breakroom Quiz

Job description

What We Do
Milliman IntelliScript is a group of a few hundred experts in fields ranging from actuarial science to information technology to clinical practice. Together, we develop and deploy category-defining, data-driven, software-as-a-service (SaaS) products for a broad spectrum of insurance, health IT and life sciences clients. We are a business unit within Milliman, Inc., a respected consultancy with offices around the world.
IntelliScript attracts top candidates with its innovative, collaborative, and entrepreneurial atmosphere focused on excellence, outstanding customer service, balance, and transparency. Everyone's opinion counts here, and we motivate each other to explore our full and varied potential. Our steady growth means there are ongoing opportunities for you to expand your skills, take on new responsibilities, and advance in your career.
Our team is smart, down-to-earth, and ready to listen to your best ideas. We reward excellence and offer competitive compensation and benefits. Visit our LinkedIn page for a closer look at our company, and learn more about our cultural values here.
Milliman invests in skills training and career development and gives all employees access to a variety of learning and mentoring opportunities. Our growing number of Milliman Employee Resource Groups (ERGs) are employee-led communities that influence policy decisions, develop future leaders, and amplify the voices of their constituents. We encourage our employees to give back to their varied professions, including leadership in professional organizations. Please visit our website to learn more about Milliman's commitments to our people, diversity and inclusion, social impact, and sustainability.
What this position entails
IntelliScript's Data has been a key part of our success and is critical to our future. In this position as a Staff Data Engineer of IntelliScript's Data Platform, you will be a trusted advisor across leadership and engineering team, responsible for technical decisions. You will ensure data systems work together across our hybrid environments with a focus on scale and performance. You will lead technical and architecture decisions in collaboration with architecture and data engineering teams while ensuring compliance with industry-leading data privacy standards.
What you will be doing
  • Acts as a subject matter expert and thought leader within the Data Platform Domain
  • Data Strategy: Serves as a thought leader in data processing design and implementation, defining advanced structure for moving, storing, and maintaining high-quality data.
  • Team Leadership: Leads projects by managing timelines, coordinating teams, and communicating project statuses. Influences organizational direction through effective leadership and strategic collaboration
  • Data Governance and Security: Serves as a subject matter expert on governance standards, continuously aligning data practices with evolving industry best practices and requirements
  • Project Management and Scope of Work: Contributes to defining the overall vision and strategy for data engineering within the organization, ensuring alignment with organizational goals and long-term objectives
  • Results Orientation: Establishes visionary goals, advises on strategic plans, employs advanced monitoring, influences high-level stakeholders, and delivers transformative results
  • Data Platform: Expansion of our Data Warehouse(s) and Lakehouse solutions for a healthcare data focused enterprise
    • Data Governance: Configuring and maintaining unity catalog to enable enterprise data lineage, data quality, auditability and data stewardship
    • Data Security: Building out Data Security protocols and best practices including the management of identified and de-identified (PHI/PII) solutions
    • Access Management: Always ensure a policy of least privilege is followed for anything being implemented
    • External Data Products: Building data solutions for clients while upholding the best standards for reliability, quality, and performance
    • ETL: Building solutions within Delta Live Tables and automation of transformations
    • Medallion Architecture: Building out performant enterprise-level medallion architecture(s)
    • Streaming and Batch Processing: Building fit-for-purpose near real-time streaming and batch solutions
    • Large Data Management: Building out performant and efficient enterprise solutions for internal and external users for both structured and unstructured healthcare data
    • Platform Engineering: Building out Infrastructure as Code using Terraform and Asset Bundles
    • Costs: Working with the business to build cost effective and cost transparent Data solutions
  • Pipeline/ETL Management: You will help architect, build, and maintain robust and scalable data pipelines, monitoring, and optimizing performance
    • Experience working with Migration tools i.e. Fivetran, AWS technologies and custom solutions
    • Identify and implement improvements to enhance data processing efficiency
    • Design and implement reliable and resilient Event Driven data processing
    • Experience with building out effective pipeline monitoring solutions
    • Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL, Delta Live Tables, Python, Scala, and cloud-based 'big data' technologies
  • API Development: Drive our design and implementation of internal APIs for integrating data between different systems and applications
    • Integration with external systems utilizing API driven processes to ingest data
    • Develop APIs built on top of datasets for internal systems to consume data from Databricks
    • Experience integrating with external APIs including but not limited to Salesforce, Financial systems, HR systems and other external systems
  • Data Modeling: Lead design, implementation, and maintenance of standards based (FHIR, OMOP, etc.) and efficient data models for both structured and unstructured data
    • Assemble large, complex data sets that meet functional and non-functional business requirements
    • Develop and maintain data models, ensuring they align with business objectives and data privacy regulations
  • Collaboration: Partner internally and externally with key stakeholders to ensure we are providing meaningful, functional, and valuable data
    • Effectively work with Data, Development, Analysts, Data Science, and Business team members to gather requirements, propose, and build solutions.
    • Communicate complex technical concepts to non-technical stakeholders and provide guidance on best practices.
    • Ensure that technology execution aligns with business strategy and provides efficient, secure solutions and systems
    • Gather requirements and build out project plans to implement those requirements with forecasted efforts to implement
  • Processes and Tools: Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
    • Build analytics tools that utilize the data pipeline to provide actionable insights into operational efficiency and other key business performance metrics.
    • Create data tools for clinical, analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.
    • Lead investigation of new tooling, develop implementation plans, and deployment of necessary tooling

What we need
  • 15+ years of relevant experience in design, development, and testing of Data Platform solutions, such as Data Warehouses, Data Lakes, and Data Products
  • Expert level experience working in Databricks and AWS
  • Expert level experience working in both relational and non-relational databases such as SQL Server, PostgreSQL, DynamoDB, DocumentDB
  • Experience managing and standardizing clinical data from structured and unstructured sources
  • Experience building and managing solutions on AWS
  • Expert knowledge in healthcare standards including FHIR, C-CDA, and traditional HL7
  • Expert knowledge in clinical standards/ontologies including ICD10/SNOMED/NDC/LOINC/Rx Norm
  • Expert in building out data models, data warehouses, designing of data lakes for enterprise and product use cases
  • Familiarity with designing and building APIs, ETL and data ingestion processes and utilization of tools to support enterprise solutions
  • Experience in performance tuning, query optimization, security, monitoring, and release management
  • Experience working with and managing large, disparate, identified and de-identified data sets from multiple data sources
  • Experience with building and deploying IAC using terraform, asset bundles and GitHub
  • Experience collaborating with Data Science teams and building AI based solutions to drive efficiencies and business value

What you bring to the table
  • Demonstrated "let's find a way to do it" attitude - no task is too big or too small
  • Effective collaboration and communication across multiple technical and non-technical disciplines
  • Comfortable working through ambiguous situations
  • Able to teach & mentor others on new/emerging technologies
  • Customer obsessed with a business-centric focus
  • Able to understand both strategic and tactical needs and balance appropriately
  • Driven, thorough and self-directed
  • Able to lead through influence and persuasion
  • Curiosity to explore industry trends and drive the organization to utilize fit for purpose solutions

Wish list
  • Bachelor's degree or master's degree in computer science, data engineering or related field
  • Health and Life Insurance business experience
  • Professional level solution architecture certification in AWS

Location
The expected application deadline for this job is November 30, 2026. This position is open to remote work anywhere in the US. Applicants must be willing to travel to the Milliman office in Brookfield, WI as needed and travel nationwide for meetings, conferences, and team events.
Compensation
The overall salary range for this role is $131,600 - $249,780. For candidates residing in:
  • Alaska, California, Connecticut, Illinois, Maryland, Massachusetts, New Jersey, New York City, Pennsylvania, Virginia, Washington, or the District of Columbia the salary range is $151,340 - $249,780.

  • All other locations the salary range is $131,600 - $217,200.

A combination of factors will be considered, including, but not limited to, education, relevant work experience, qualifications, skills, certifications, etc.
Benefits
We offer a comprehensive benefits package designed to support employees' health, financial security, and well-being. Benefits include:
  • Medical, Dental and Vision - Coverage for employees, dependents, and domestic partners
  • Employee Assistance Program (EAP) - Confidential support for personal and work-related challenges
  • 401(k) Plan - Includes a company matching program and profit-sharing contributions
  • Discretionary Bonus Program - Recognizing employee contributions
  • Flexible Spending Accounts (FSA) - Pre-tax savings for dependent care, transportation, and eligible medical expenses
  • Paid Time Off (PTO) - Begins accruing on the first day of work. Full-time employees accrue 15 days per year, and employees working less than full-time accrue PTO on a prorated basis
  • Holidays - A minimum of 10 paid holidays per year
  • Family Building Benefits - Includes adoption and fertility assistance
  • Paid Parental Leave - Up to 11 weeks of paid leave for employees who meet eligibility criteria
  • Life Insurance & AD&D - 100% of premiums covered by Milliman
  • Short-Term and Long-Term Disability - Fully paid by Milliman

Equal Opportunity
All qualified applicants will receive consideration for employment, without regard to race, color, religion, sex, sexual orientation, national origin, disability, or status as a protected veteran.
#LI-REMOTE & #LI-LA1
#IntelliScript
Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities
This employer is required to notify all applicants of their rights pursuant to federal employment laws.
For further information, please review the Know Your Rights notice from the Department of Labor.

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About Milliman

Sourced by ZipRecruiter

Milliman delivers market-leading services and solutions to clients worldwide. Today, we are helping companies take on some of the world's most critical and complex issues, including retirement funding and healthcare financing, risk management and regulatory compliance, data analytics and business transformation.

Industry

Business management consulting

Company size

1,001 - 5,000 Employees

Headquarters location

Seattle, WA, US

Year founded

1947

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