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Data Integrity Engineer Jobs in Wisconsin (NOW HIRING)

WI Β· On-site

$145K - $175K/yr

You will be instrumental in writing highly efficient database related code, ensuring data integrity ... Provide steadfast engineering support during critical deployments, ensuring the stability and ...

The developer is responsible for creating solutions that support operational excellence, data integrity, and process improvement across departments. This position allows for a hybrid work schedule ...

... Data Integrity (DI) Testing Company : ClifyX provides innovative business solutions which satisfy requirements for mission-critical reliability, scalability, interoperations. Founded in 1998, the ...

WI Β· On-site

$152K - $192K/yr

We engineer and manufacture ground-breaking battery materials that significantly increase the ... data integrity. * Modern Observability: Use Datadog, Sumo Logic, and StatsD to monitor user ...

Validation Engineer II

Sturgeon Bay, WI Β· On-site

$83K - $105K/yr

We're an engineering company at heart--with over 75 engineers across our organization--and have ... Ensure regulatory compliance. (GMP, GLP, CSV, data integrity) * Collaborate cross-functionally to ...

Mechanical Test Engineer

Horicon, WI Β· On-site

$65K - $80K/yr

RFA Engineering (www.rfamec.com) is an engineering service provider dedicated to delivering our ... Conduct laboratory and field tests efficiently while maintaining safety and data integrity.

Showing results 41-60

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 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:

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.

Engineering Enablement Manager

Cudahy, WI β€’ On-site

Full-time

Re-posted 13 days ago


Job description

Description:

Position Overview

The Engineering Enablement Manager provides leadership and coordination for the systems, processes, and documentation that enable engineering and manufacturing success. This role oversees engineering data integrity, new product introduction (NPI), engineering change management, ERP master data, and cross-functional process improvements to ensure products transition efficiently from design through production while supporting quality, customer satisfaction, and operational excellence.


Key Responsibilities

1. Engineering Process & Change Management

· Lead the Engineering Change Order (ECO) process from initiation through implementation.

· Develop and maintain standardized engineering procedures and workflows.

· Coordinate document revisions with Engineering, Production, Quality, and Purchasing.

· Ensure controlled engineering documents remain accurate and current.

· Drive process improvements that reduce errors and improve execution.


2. Product Data & ERP Governance

· Own the accuracy of ERP engineering master data, including part numbers, BOMs, routings, and item masters.

· Validate engineering data before release to manufacturing.

· Support ERP enhancements that improve engineering and manufacturing efficiency.

· Maintain product configurations and revision history.

· Partner with IT and Operations to strengthen data integrity.


3. New Product Introduction (NPI)

· Coordinate the release of new products into manufacturing.

· Ensure manufacturing documentation is complete prior to production launch.

· Collaborate with Engineering, Production, Purchasing, and Quality during product launches.

· Identify risks that could impact successful implementation.

· Support post-launch reviews and continuous improvement.


4. Cross-Functional Leadership

· Serve as the primary liaison between Engineering, Operations, Production, Quality, Purchasing, Sales, and Customer Service.

· Coordinate engineering priorities to support production schedules and customer commitments.

· Lead cross-functional meetings related to engineering readiness.

· Track project milestones and communicate status to stakeholders.

· Support strategic initiatives assigned by the Operations Director.


5. Quality & Continuous Improvement

· Ensure compliance with ISO quality standards and internal procedures.

· Support internal and external quality audits.

· Develop standard work instructions and engineering documentation standards.

· Champion Lean Manufacturing and continuous improvement initiatives.

· Analyze engineering metrics and recommend process improvements.


Qualifications

· Bachelor's degree in Engineering, Engineering Technology, Manufacturing, or related field preferred.

· 5+ years of engineering, manufacturing, or technical operations experience.

· Experience with ERP/MRP systems, engineering change management, and product lifecycle processes.

· Strong understanding of BOMs, routings, manufacturing documentation, and ISO quality systems.

· Demonstrated project management and cross-functional leadership skills.

· Excellent analytical, communication, and organizational abilities.

· Proficiency with Microsoft Office and engineering software platforms

Requirements: