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Data Integrity Engineer Jobs in Appleton, WI (NOW HIRING)

Data Engineer (MedInsight)

Appleton, WI · On-site +1

$93K - $177K/yr

Leading with our core values of Quality, Integrity, and Opportunity, MedInsight is one of the ... We are seeking a skilled and driven Data Engineer to design, build, and optimize scalable data ...

This role ensures system stability, performance, data integrity, and operational alignment across manufacturing, supply chain, finance, and customer service functions. The ERP Systems Engineer works ...

Senior Data Engineer - IGEN

Appleton, WI · On-site

$103K - $140K/yr

Owns the architectural integrity of the platform - ingestion patterns, transformation frameworks ... Mentors Data Engineers - through code review, architectural pairing, and knowledge sharing - and ...

This role ensures data integrity, traceability, and timely communication of engineering changes throughout the organization. The ideal candidate will be a detail-oriented professional with strong ...

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Showing results 1-20

Data Integrity Engineer information

See Appleton, WI salary details

$43.4K

$126.6K

$173.2K

How much do data integrity engineer jobs pay per year?

As of Jun 18, 2026, the average yearly pay for data integrity engineer in Appleton, WI is $126,568.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,700.00 and $134,200.00 per year, depending on experience, location, and employer.

Is AI replacing data engineers?

AI is automating certain tasks within data engineering, such as data cleaning and pipeline management, but it does not replace the need for data engineers. Data engineers are essential for designing, building, and maintaining complex data systems, and their expertise remains critical for ensuring data quality, security, and integration. AI tools serve as complementary technologies that enhance efficiency but do not eliminate the role of data engineers.

What are the 4 types of data integrity?

Data integrity in a Data Integrity Engineer role refers to the accuracy, consistency, and reliability of data throughout its lifecycle. The four main types are physical integrity (protection against physical damage), logical integrity (accuracy and consistency of data within databases), referential integrity (maintaining valid relationships between data tables), and data integrity constraints (rules enforcing data validity). Ensuring these types involves implementing validation, access controls, and audit mechanisms to maintain high-quality data in organizational systems.

What does an integrity engineer do?

An integrity engineer is responsible for ensuring the accuracy, consistency, and reliability of data within an organization. They develop and implement data validation, monitoring, and quality control processes, often using tools like SQL, Python, or data management software, to maintain data integrity across systems.

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

AspectData Integrity EngineerData Quality Analyst
Primary FocusEnsuring accuracy, consistency, and security of data across systemsAssessing and improving data quality, completeness, and usability
Skills & CertificationsDatabase management, SQL, data governance, certifications like CDMPData analysis, data profiling, quality frameworks, certifications like CDMP
Work EnvironmentIT teams, data engineering, database administrationBusiness analysis, data analysis teams, quality assurance
Industry UsageTech, finance, healthcare, where data security is criticalRetail, marketing, finance, focusing on data usability

While both roles focus on data, Data Integrity Engineers primarily ensure data security and consistency across systems, whereas Data Quality Analysts focus on assessing and improving data quality for business insights. Both roles often collaborate but serve distinct functions within data management.

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

To thrive as a Data Integrity Engineer, you need strong analytical skills, a background in computer science or information systems, and experience with data management principles. Familiarity with database platforms (such as SQL), data validation tools, and knowledge of regulatory compliance standards are typically required. Attention to detail, problem-solving ability, and effective communication help ensure data accuracy and facilitate collaboration across teams. These skills are critical for maintaining reliable, secure, and compliant data systems that support informed business decisions.

What engineers make $500,000?

Senior engineers in high-demand fields such as software, data engineering, and specialized engineering roles can earn $500,000 or more annually, especially with experience, advanced skills, and in certain industries like technology or finance. Compensation often includes base salary, bonuses, and stock options, and reaching this level typically requires extensive expertise and leadership responsibilities.

What are Data Integrity Engineers?

Data Integrity Engineers are professionals responsible for ensuring the accuracy, consistency, and reliability of data within an organization’s systems. They design and implement processes to prevent data corruption, loss, or unauthorized modification. These engineers work closely with database administrators, data analysts, and IT teams to monitor data flows, validate data quality, and enforce data governance policies. Their role is crucial in industries where high-quality data is essential for decision-making, compliance, and operational efficiency.

What are some common challenges Data Integrity Engineers face when ensuring data quality across large, complex systems?

Data Integrity Engineers often encounter challenges such as managing data consistency across multiple databases, identifying and resolving discrepancies caused by data migrations, and ensuring compliance with regulatory standards. Additionally, they must frequently collaborate with software developers and database administrators to implement automated validation processes and address data anomalies promptly. Staying updated with evolving best practices and tools is crucial, as data environments and requirements can change rapidly in large organizations.
What are popular job titles related to Data Integrity Engineer jobs in Appleton, WI? For Data Integrity Engineer jobs in Appleton, WI, the most frequently searched job titles are:
What job categories do people searching Data Integrity Engineer jobs in Appleton, WI look for? The top searched job categories for Data Integrity Engineer jobs in Appleton, WI are:
Data Engineer (MedInsight)

Data Engineer (MedInsight)

Milliman

Appleton, WI • On-site, Remote

$93K - $177K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 7 days ago


Job description

Individual(s) must be legally authorized to work in the United States without the need for immigration support or sponsorship from Milliman now or in the future.  

Company Overview: 

Leading with our core values of Quality, Integrity, and Opportunity, MedInsight is one of the healthcare industry’s most trusted solutions for healthcare intelligence.Our company purpose is to empower easy, data-driven decision-making on important healthcare questions. Through our products, education, and services, MedInsight is making an impact on healthcare by helping to drive better outcomes for patients while reducing waste. Over 300 leading healthcare organizations have come to rely on MedInsight analytic solutions for healthcare cost and care management. MedInsight has been ranked #1 for Payer Quality Analytics by clients for the last three years in the Best in KLAS report.  

MedInsight is a subsidiary of Milliman; a global, employee-owned consultancy providing actuarial consulting, retirement funding and healthcare financing, enterprise risk management and regulatory compliance, data analytics and business transformation as well as a range of other consulting and technology solutions. 

Position Summary: 

MedInsight’s engineering team is building the next generation of healthcare data analytics. We are seeking a skilled and driven Data Engineer to design, build, and optimize scalable data solutions that power healthcare insights at scale. This role is ideal for someone with experience in modern data platforms, including Databricks, Spark, and cloud technologies, who is eager to take ownership of complex data engineering initiatives and contribute to the evolution of our data ecosystem.

Primary Responsibilities: 

  • Build & Enhance Pipelines: Design, develop, and maintain scalable data pipelines to ingest, transform, and enrich complex healthcare data using Databricks and Spark.
  • Optimize Data Workflows: Analyze and improve data intake processes and optimize SparkSQL/Python workloads for performance, scalability, reliability, and cost efficiency.
  • Design Data Models: Develop and maintain data marts, semantic models, and curated datasets that support analytics products, reporting, and business intelligence initiatives.
  • Ensure Data Quality & Reliability: Monitor pipeline health, troubleshoot production issues, implement data validation frameworks, and maintain high standards for data quality and governance.
  • Collaborate Across Teams: Partner with product, analytics, and engineering teams to understand business requirements and deliver scalable data solutions.
  • Drive Continuous Improvement: Contribute to architecture decisions, engineering standards, automation efforts, and best practices across the data platform.

Required Qualifications:

  • Bachelor's degree in computer science, engineering, information systems, or related field; or equivalent practical experience.
  • 3+ years of experience in data engineering, software engineering, or a related technical field.
  • Strong proficiency in SQL and Python, with experience developing and maintaining production-grade data pipelines.
  • Experience working with large-scale data processing frameworks such as Apache Spark.
  • Strong understanding of relational databases, data modeling, ETL/ELT patterns, and data engineering best practices.
  • Experience troubleshooting and optimizing data workflows for performance and reliability.
  • Strong problem-solving skills, ownership mindset, and ability to collaborate effectively across technical teams.

Preferred Skills:

  • Experience with Databricks in a production environment.
  • Experience building Power BI Semantic Models and supporting analytics use cases.
  • Experience working with Azure or AWS cloud platforms.
  • Familiarity with data orchestration and workflow management tools.
  • Familiarity with AI-assisted development tools, such as Claude Code.
  • Experience working with healthcare data domains such as claims, EMR/EHR, provider, or payer data.
  • Experience mentoring junior engineers or providing technical guidance on projects.

Location

This role can be remote within the U.S. The expected application deadline for this job is July 15, 2026.

Compensation

The overall salary range for this role is $93,700 - $177,675. 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 $107,755 - $177,675.
  • All other locations the salary range is $93,700 - $154,500.

A combination of factors will be considered, including, but not limited to, education, relevant work experience, qualifications, skills, certifications, etc.

What makes this a great opportunity? 

  • Join an innovative, high growth company with a solid industry track record
  • Bring your expertise and ideas to directly impact and help build the next generation of MedInsight products and solutions
  • Enjoy significant visibility in your work and be recognized for your wins
  • Work for a company that values your wellbeing and professional growth, offering a flexible work environment, generous benefits package, and investment in the development of your career

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.

#LI-SM1

#LI-REMOTE


Milliman logo

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