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Data Privacy Jobs in Wisconsin (NOW HIRING)

WI · On-site

Ensure infrastructure and data platforms align with data privacy, security, and regional compliance requirements, including GDPR and region‑specific constraints for the EU, KSA, and other global ...

$211K - $246K/yr

Establish standards for data accuracy, lineage, documentation, access controls, privacy, security, and compliance. Qualifications * 6+ years of professional experience in data engineering and ...

... data privacy, responsible use of artificial intelligence,?sustainability and ethics and compliance built into the fundamental changes Accenture helps companies achieve. The Work: You'll own the end ...

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Data Privacy information

See Wisconsin salary details

$10

$51

$90

How much do data privacy jobs pay per hour?

As of Jul 7, 2026, the average hourly pay for data privacy in Wisconsin is $51.74, according to ZipRecruiter salary data. Most workers in this role earn between $36.66 and $66.29 per hour, depending on experience, location, and employer.

What is the difference between Data Privacy vs Data Security?

AspectData PrivacyData Security
FocusProtecting personal and sensitive information from misuse and ensuring compliance with privacy lawsSafeguarding data from unauthorized access, breaches, and cyber threats
CredentialsPrivacy certifications (e.g., CIPP, CIPM), knowledge of privacy lawsSecurity certifications (e.g., CISSP, CISM), technical security skills
Work EnvironmentLegal, compliance, and policy-driven roles within organizationsIT, cybersecurity teams, technical environments

Data Privacy focuses on protecting personal information and ensuring compliance with privacy regulations, while Data Security emphasizes technical measures to prevent unauthorized data access. Both roles are essential for comprehensive data protection but differ in their primary objectives and skill sets.

What is data privacy?

Data privacy refers to the protection of personal or sensitive information from unauthorized access, use, or disclosure. It involves implementing policies, procedures, and technologies to ensure that individuals’ data is collected, stored, and processed in compliance with relevant laws and regulations. Data privacy professionals help organizations mitigate risks, maintain customer trust, and avoid legal penalties by ensuring proper handling of data. This field is especially important in industries that handle large volumes of personal information, such as healthcare, finance, and technology.

What are some common challenges faced by professionals working in data privacy roles?

Professionals in data privacy roles often encounter challenges such as keeping up with rapidly changing regulations, ensuring organization-wide compliance, and balancing data protection with business needs. They frequently collaborate with IT, legal, and business teams to develop and implement privacy policies, manage data subject requests, and respond to potential data breaches. Staying informed about new technologies and emerging threats is also essential, making continuous learning a key part of the role.

What Are Data Privacy Jobs?

Data privacy jobs focus on helping a company manage and protect information. This has two primary focuses: company information and customer information. In these roles, you may study industry sources to evaluate potential risks, help ensure compliance with applicable laws and regulations, and determine the best response to any violation of these rules. Data privacy jobs often involve using encryption to manage and store sensitive information, determining when or if to share information with others, and creating company policies to help ensure employees do not inadvertently violate privacy protection laws. Some industries—most notably healthcare—have additional data privacy requirements that you may be responsible for enforcing.

What are the key skills and qualifications needed to thrive as a Data Privacy professional, and why are they important?

To thrive as a Data Privacy professional, you need strong knowledge of data protection laws (like GDPR and CCPA), risk assessment, and compliance best practices, often supported by a relevant degree or certifications such as CIPP or CIPM. Familiarity with privacy management tools, data classification systems, and legal research databases is typically required. Attention to detail, ethical judgment, and effective communication are key soft skills for managing sensitive information and educating stakeholders. These skills ensure organizations remain compliant, protect customer trust, and mitigate the risks of data breaches.
What are the most commonly searched types of Data Privacy jobs in Wisconsin? The most popular types of Data Privacy jobs in Wisconsin are:
What are popular job titles related to Data Privacy jobs in Wisconsin? For Data Privacy jobs in Wisconsin, the most frequently searched job titles are:
What cities in Wisconsin are hiring for Data Privacy jobs? Cities in Wisconsin with the most Data Privacy job openings:
Staff Data Engineer, Data Platform - IntelliScript (Remote)

Staff Data Engineer, Data Platform - IntelliScript (Remote)

Milliman

Brookfield, WI • On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 21 days ago


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 June 30, 2026. This position is open to remote work. 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 12 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.
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