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Data Integrity Engineer Jobs in Wisconsin (NOW HIRING)

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 ...

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 ...

... programming and querying expertise. * Remains trained and compliant with CHW data governance ... Assists with improvement work related to data integrity, reliability and validity. * Assists ...

... programming and querying expertise. * Remains trained and compliant with CHW data governance ... Assists with improvement work related to data integrity, reliability and validity. * Assists ...

Data Engineer

Stevens Point, WI · On-site

$111K - $133K/yr

Delta Dental of Wisconsin is seeking a Data Engineer to design, build, and maintain the data ... integrity, and governance. What You'll Do * Design, develop, and maintain scalable data pipelines ...

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 Analyst

Madison, WI · Remote

$115K/yr

... and engineering initiatives. * This is a remote position. * Candidates must live and work in ... Collaborate with cross-functional teams to ensure data integrity, quality, and alignment across ...

Data Analyst

Madison, WI · Remote

$115K/yr

... and engineering initiatives. * This is a remote position. * Candidate must live and work in ... Collaborate with cross-functional teams to ensure data integrity, quality, and alignment across ...

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Data Integrity Engineer information

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), and data integrity constraints (rules enforcing data validity). Ensuring these types are maintained often involves using database management tools, validation processes, and security measures.

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 $300,000 a year?

Senior engineers in specialized fields such as data engineering, software engineering, or machine learning engineering can earn $300,000 or more annually, especially with extensive experience, advanced skills, and working in high-demand industries or companies. Compensation often includes base salary, bonuses, and stock options, and requires strong technical expertise and certifications.

What engineers make $500,000?

Senior data integrity engineers, especially those with extensive experience, advanced certifications, and expertise in database management, data governance, and security, can earn salaries approaching or exceeding $500,000 annually in high-paying industries or companies. Compensation often includes base salary, bonuses, and stock options, particularly in technology or finance sectors.

Can I make 200k as a data engineer?

Data engineers can earn $200,000 or more annually, especially with experience, advanced skills in cloud platforms, big data tools, and certifications. Salaries vary by location, industry, and company size, with senior roles and specialized expertise commanding higher pay.

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 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:
Infographic showing various Data Integrity Engineer job openings in Wisconsin as of July 2026, with employment types broken down into 84% Full Time, 8% Part Time, and 8% Contract. Highlights an 92% In-person, and 8% Remote job distribution.

Manufacturing Engineer

MDI Holdco LLC

Port Washington, WI • On-site

$75K - $90K/yr

Full-time

Re-posted 4 days ago


Job description

Molded Dimensions is a leading manufacturer specializing in engineered elastomer and urethane solutions. We are committed to innovation, quality, and continuous improvement in everything we do. Join our team and play a key role in driving operational excellence and supporting our growing business.
Position Summary
Molded Dimensions is seeking a hands-on, results-driven Manufacturing Engineer to support and improve our manufacturing processes. This role focuses on continuous improvement initiatives, day-to-day production support, and cross-functional collaboration for new product development (NPD).
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 the Director of Engineering.
Key Responsibilities
Process Improvement & Operational Excellence
  • Identify and implement process improvements to increase efficiency, reduce waste, and enhance product quality
  • Lead and support Lean Manufacturing, Six Sigma, and cost-reduction initiatives
  • Analyze production data to identify trends, root causes, and improvement opportunities
  • Develop and maintain standard work instructions and process documentation

Production Support & Troubleshooting
  • Provide daily engineering support to production teams
  • Troubleshoot manufacturing issues and implement corrective and preventive actions
  • Support process capability studies, equipment validation, and cycle time improvements

New Product Development (NPD)
  • Collaborate with engineering, quality, and operations teams to launch new products
  • Assist in process design, tooling development, and manufacturing feasibility assessments
  • Support PPAPs, first article inspections, and production trials
  • Ensure smooth product launches with minimal disruption

Systems & Data Management
  • Utilize IQMS or similar ERP systems to manage production data, BOMs, routings, and inventory accuracy
  • Maintain and improve ERP/MES data integrity
  • Generate reports and analyze KPIs to support decision-making
  • Support system enhancements and integration with manufacturing processes

Cross-Functional Collaboration & Compliance
  • Participate in cross-functional teams to support plant initiatives
  • Ensure compliance with safety, environmental, and quality standards
  • Assist with capital projects including equipment specification, installation, and validation
  • Perform additional duties as needed to support business objectives

Required Qualifications
  • Bachelor's degree in Manufacturing Engineering, Mechanical Engineering, Industrial Engineering, or related field
  • Experience with continuous improvement methodologies (Lean, Six Sigma)
  • Familiarity with IQMS or similar ERP systems
  • Strong troubleshooting, analytical, and project management skills in a manufacturing environment
  • Hands-on approach with the ability to work directly on the shop floor
  • Ability to work independently and collaborate with internal teams, suppliers, and customers
  • Excellent communication skills across all levels of the organization

Preferred Qualifications
  • Experience in rubber, urethane, or related manufacturing environments
  • Six Sigma certification (Green Belt or higher)
  • Knowledge of material science and regulatory/compliance standards
  • Experience with statistical analysis and process control tools

Why Join Molded Dimensions?
  • Opportunity to make a direct impact on manufacturing performance and innovation
  • Collaborative, team-oriented environment
  • Commitment to continuous improvement and growth
  • Competitive compensation and benefits package

About Molded Dimensions Group:
Molded Dimensions Group is a trusted leader in the manufacturing of custom-molded rubber and cast polyurethane components. With decades of experience and a reputation for high-quality parts, we serve a wide range of industries including transportation, marine, medical, industrial, and more. Our team is driven by craftsmanship, innovation, and a commitment to customer satisfaction. At Molded Dimensions, we take pride in our collaborative culture, where employees are valued, supported, and empowered to grow.