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Data Engineer Data Jobs in Wisconsin (NOW HIRING)

Data Governance- Manager

Milwaukee, WI · On-site

$99K - $232K/yr

... Data Engineer / Azure Solutions Architect - Google Professional Data Engineer - DAMA CDMP (Certified Data Management Professional) - Informatica Certified Professional - Alation Certified Data ...

Associate Data Engineer

Milwaukee, WI · On-site

$112K - $135K/yr

The Associate Data Engineer will design, build, and optimize modern data solutions, transforming raw data into analytics-ready assets and collaborating with various stakeholders. Responsibilities ...

Associate Data Engineer

Madison, WI · On-site

$115K - $138K/yr

The Associate Data Engineer will design, build, and optimize modern data solutions, transforming raw data into analytics-ready assets and collaborating with various stakeholders. Responsibilities ...

Sr. Data Engineer

Madison, WI

$114K - $137K/yr

The ideal candidate will possess expertise in Databricks and modern data engineering tools such as Azure Data Factory, combined with hands on experience working with biological, genomic, or other ...

Sr. Data Engineer

Madison, WI · On-site

$115K - $138K/yr

The ideal candidate will possess expertise in Databricks and modern data engineering tools such as Azure Data Factory, combined with hands on experience working with biological, genomic, or other ...

Sr. Data Engineer

Madison, WI

$115K - $138K/yr

The ideal candidate will possess expertise in Databricks and modern data engineering tools such as Azure Data Factory, combined with hands on experience working with biological, genomic, or other ...

Sr. Data Engineer

Madison, WI · On-site

$115K - $138K/yr

The ideal candidate will possess expertise in Databricks and modern data engineering tools such as Azure Data Factory, combined with hands on experience working with biological, genomic, or other ...

Sr. Data Engineer

Madison, WI · On-site

$114K - $137K/yr

The ideal candidate will possess expertise in Databricks and modern data engineering tools such as Azure Data Factory, combined with hands on experience working with biological, genomic, or other ...

Sr. Data Engineer

Madison, WI

$114K - $137K/yr

The ideal candidate will possess expertise in Databricks and modern data engineering tools such as Azure Data Factory, combined with hands on experience working with biological, genomic, or other ...

Data Engineer II

Green Bay, WI · On-site

$111K - $133K/yr

... data engineering, information systems, or related field or equivalent experience; master's degree preferred • 5+ years of hands-on experience in data engineering or related roles • Professional ...

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 ...

Master Data Engineer

Milwaukee, WI · On-site

$109K - $131K/yr

The Master Data Engineer is responsible for establishing manufacturing and part planning standards for Operations. This position works closely with R&D as new product lines are launched by building ...

Master Data Engineer

Milwaukee, WI · On-site

$109K - $131K/yr

The Master Data Engineer is responsible for establishing manufacturing and part planning standards for Operations. This position works closely with R&D as new product lines are launched by building ...

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 ...

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Data Engineer Data information

What are some common challenges Data Engineers face when integrating data from multiple sources?

Data Engineers often encounter challenges such as inconsistent data formats, varying data quality, and differing update frequencies when integrating data from multiple sources. Ensuring data integrity and designing robust ETL pipelines that can handle these discrepancies is a key part of the role. Collaboration with data analysts, database administrators, and source system owners is crucial to resolve data mapping issues, automate data validation, and maintain reliable data flows within the organization.

What is the difference between Data Engineer Data vs Data Analyst?

AspectData Engineer DataData Analyst
Primary RoleBuilds and maintains data pipelines and infrastructureAnalyzes data to generate insights and reports
Skills & CertificationsSQL, Python, ETL tools, cloud platformsSQL, Excel, data visualization tools
Work EnvironmentData engineering teams, IT departmentsBusiness units, analytics teams
Industry UsageTech, finance, healthcare, any data-driven industryMarketing, finance, operations, business intelligence

While Data Engineer Data focuses on creating and managing data infrastructure, Data Analysts interpret this data to support decision-making. Both roles require strong SQL skills, but Data Engineers typically work more with data pipelines and cloud platforms, whereas Data Analysts focus on data visualization and reporting.

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

To thrive as a Data Engineer, you need a solid understanding of data modeling, SQL, and programming languages such as Python or Java, often backed by a degree in computer science, engineering, or a related field. Familiarity with data warehousing solutions (like Amazon Redshift or Snowflake), ETL tools, and cloud platforms (such as AWS, Azure, or Google Cloud) is typically required, along with relevant certifications. Strong problem-solving abilities, collaboration, and clear communication are vital soft skills for integrating complex data systems and working with cross-functional teams. These skills ensure that data pipelines are reliable, scalable, and effectively support business intelligence and analytics needs.

What are Data Engineers?

Data Engineers are professionals who design, build, and maintain the systems and infrastructure that allow organizations to collect, store, and analyze large amounts of data. They create data pipelines, ensure data quality, and optimize data flow between systems, making it accessible for data scientists and analysts. Data Engineers often work with technologies like SQL, Python, Hadoop, and cloud platforms, and play a crucial role in supporting data-driven decision-making within organizations.
What are popular job titles related to Data Engineer Data jobs in Wisconsin? For Data Engineer Data jobs in Wisconsin, the most frequently searched job titles are:
What job categories do people searching Data Engineer Data jobs in Wisconsin look for? The top searched job categories for Data Engineer Data jobs in Wisconsin are:
What cities in Wisconsin are hiring for Data Engineer Data jobs? Cities in Wisconsin with the most Data Engineer Data 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 7 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.


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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