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Data Integrity Engineer Jobs in Wisconsin (NOW HIRING)

Saic

WI · On-site

$160K - $200K/yr

... ensure data integrity and validated mappings * Implement AI/ML algorithms and Generative AI ... Proficiency with database engineering, data modeling, and VA legacy systems (AEMS/MERS, GIP, Maximo ...

Neumo

WI · On-site

$97K - $131K/yr

The Data Engineer designs and builds the pipelines and data models that our reporting, analytics ... systems migrate, and by validating data integrity through cutover. * Build validation ...

MDI Holdco LLC

Manufacturing Engineer

Port Washington, WI · On-site

$75K - $90K/yr

The Manufacturing Engineer will also play a critical role in leveraging IQMS (or similar ERP systems) to improve operational efficiency, data integrity, and process control. This position reports to ...

Molded Dimensions

Manufacturing Engineer

Port Washington, WI · On-site

$68K - $88K/yr

The Manufacturing Engineer will also play a critical role in leveraging IQMS (or similar ERP systems) to improve operational efficiency, data integrity, and process control. This position reports to ...

MDI Holdco LLC

Manufacturing Engineer

Port Washington, WI · On-site

$68K - $88K/yr

The Manufacturing Engineer will also play a critical role in leveraging IQMS (or similar ERP systems)to improve operational efficiency, data integrity, and process control. This position reports to ...

Alterman, Inc.

WI · On-site

Collects, cleans, and prepares data for modeling and analysis to ensure data integrity and quality. * Partners with Data Engineers to integrate and deploy analytical models and products into ...

NV5

Associate Data Manager

Sun Prairie, WI

... Developers, IT, Project Management Professionals, and more. At NV5 Geospatial, We are a ... Ensure data integrity, accuracy, and security through proper management practices and quality ...

NV5

Associate Data Manager

Sun Prairie, WI · On-site

... Developers, IT, Project Management Professionals, and more. At NV5 Geospatial, We are a ... Ensure data integrity, accuracy, and security through proper management practices and quality ...

Royal Electric

WI · On-site

$104K - $125K/yr

... integrity, passion, and loyalty. These values support our core purpose; to build great ... ROLE SUMMARY The Data Engineer is a technology professional embedded within the Digital ...

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Data Integrity Engineer information

What is a data integrity engineer?

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 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 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 popular job titles related to Data Integrity Engineer jobs in Wisconsin?

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

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

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

What cities in Wisconsin are hiring for Data Integrity Engineer jobs?

Cities in Wisconsin with the most Data Integrity Engineer job openings:

Data Integrity Engineer jobs near you
Infographic showing various Data Integrity Engineer job openings in Wisconsin as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 84% Full Time, 12% Part Time, and 2% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution.

Data Architect Lead

WI • On-site

Saic
IT Services • 10K+ employees
Learn more about Saicexternal

$160K - $200K/yr

Other

Posted 14 days ago

Key responsibilities

  • Lead data modeling, migration planning, ETL development, and data governance activities for the Product Line.

  • Develop and maintain data models, data mapping, validation plans, and data migration schedules to support system modernization.

  • Design, develop, and manage data tools, interfaces, and analytics capabilities, including AI/ML algorithms and dashboards.

SAIC rating

7.7

Company rating: 7.7 out of 10

Based on 82 frontline employees who took The Breakroom Quiz

Job description

DescriptionPosition Summary

The Data Architect Lead owns the end-to-end data strategy for the Product Line, including data modeling, migration planning, ETL development, data governance, and analytics. This role is critical to the successful migration of legacy supply chain data (AEMS/MERS, GIP, Maximo) to modernized systems (DMLSS, LogiCole, VALIP) and the integration of AI/ML-driven analytics capabilities.

Key Responsibilities
  • Develop and maintain product-specific data models and enterprise data architecture aligned to Product Line standards
  • 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 Migration Plan and Schedule, and Data Mapping Document
  • Design, develop, test, and manage data tools to obtain and manage data sets from disparate sources; maintain project management plans for tool development efforts
  • Conduct data profiling, cleansing, enrichment, and validation aligned to VA standards
  • Ensure data delivered to third parties (e.g., MEDLOG) conforms to provided standards
  • Support VALIP cloud ecosystem development, including automated data exchange between internal and external supply chain partners
  • Develop and maintain bi-directional interfaces between VALIP and Oracle Health EHR, iFAMS, and other enterprise systems; ensure data integrity and validated mappings
  • Implement AI/ML algorithms and Generative AI capabilities to enhance predictive forecasting and provide near real-time data insights into inventory levels and demand
  • Develop a Centralized Supply Chain Dashboard to monitor purchase orders, demand fluctuations, and inventory bottlenecks in real time
  • Ensure all data architecture and migration activities comply with VA security, privacy, and organizational controls
QualificationsRequired Qualifications:
  • Bachelor's degree in Computer Science, Data Science, Information Management, or related field and 13 years of experience
  • 8+ years of data architecture and data engineering experience, with federal health IT experience strongly preferred
  • Demonstrated experience with ETL development, data migration, and data governance in large-scale enterprise environments
  • Proficiency with database engineering, data modeling, and VA legacy systems (AEMS/MERS, GIP, Maximo, VistA)
  • Experience with cloud data platforms (AWS, Azure, VAEC) and data pipeline tools
  • Familiarity with FHIR data standards and HL7 messaging for healthcare interoperability
  • Knowledge of AI/ML and Generative AI frameworks for predictive analytics and supply chain optimization
  • Understanding of VA data governance standards, HIPAA/PHI requirements
  • Must be able to obtain and maintain a Public Trust
Preferred Certifications:
  • Certified Deployment Professional
  • Certified SAFe Agile Architect
  • Databricks Certified Data Engineer
  • Databricks Certified Generative AI Engineer
  • CDMP

Target salary range: $160,001 - $200,000. The estimate displayed represents the typical salary range for this position based on experience and other factors.


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