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Data Integrity Engineer Jobs in Wisconsin (NOW HIRING)

GEA Group, founded in Germany in 1881, is a global leader in engineering solutions, serving ... Ensure high levels of accuracy, consistency, and integrity of organizational and employee data in ...

GEA Group, founded in Germany in 1881, is a global leader in engineering solutions, serving ... Ensure high levels of accuracy, consistency, and integrity of organizational and employee data in ...

GEA Group, founded in Germany in 1881, is a global leader in engineering solutions, serving ... Ensure high levels of accuracy, consistency, and integrity of organizational and employee data in ...

Mechanical Test Engineer

Horicon, WI · 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.

In data engineering at PwC, you will focus on designing and building data infrastructure and ... You are expected to lead with integrity and authenticity, articulating our purpose and values in a ...

We are looking for a Variable Data Programmer to join our award-winning team! The ideal candidate ... maintaining brand integrity and production standards. * Perform quality assurance and ...

A Satellite Database Engineer is responsible for designing, developing, and maintaining databases ... Attention to Detail - Ensure data integrity, accuracy, and consistency across mission-critical ...

We are looking for a Variable Data Programmer to join our award-winning team! The ideal candidate ... maintaining brand integrity and production standards. * Perform quality assurance and ...

We are looking for a Variable Data Programmer to join our award-winning team! The ideal candidate ... maintaining brand integrity and production standards. * Perform quality assurance and ...

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Data Integrity Engineer information

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 Wisconsin? For Data Integrity Engineer jobs in Wisconsin, the most frequently searched job titles are:
What cities in Wisconsin are hiring for Data Integrity Engineer jobs? Cities in Wisconsin with the most Data Integrity Engineer job openings:

Data Governance & People Support

GEA

Wilson, WI • On-site

$75K - $100K/yr

Other

This job post has expired today. Applications are no longer accepted.


Job description

GEA Group, founded in Germany in 1881, is a global leader in engineering solutions, serving industries such as food and beverage, pharma, dairy, and more. With over 18,000 employees worldwide and a strong U.S. presence since 1929, GEA combines the heritage of a well-established company with the innovation of a forward-thinking industry leader. At GEA, we’re not just building equipment, we’re building lasting careers with an average employee tenure range from 5 to over 11+ years, reflecting the strong culture, growth opportunities, and support we provide.

Responsibilities / Tasks

The People Partner Reward, Data Governance & People Support is responsible for driving people data integrity, governance, reward compliance, and workforce analytics across BU Execution Americas within the NPE Division. This role acts as a strategic and operational partner to the business, ensuring that HR data in Workday is accurate, consistent, and aligned with organizational standards, while also safeguarding the proper application of corporate Reward & Benefits policies across the Business Unit.

The position plays a critical role in enabling sound decision-making through reliable staffing analysis, identification of data deviations, and strong HR data management practices. In addition, the role oversees key Reward processes for management positions, including job grading governance and the maintenance of salary structures, while promoting the use of AI-driven solutions to improve HR data quality, reporting efficiency, and decision support.

HR Data Accuracy & Governance

  • Ensure high levels of accuracy, consistency, and integrity of organizational and employee data in Workday across BU Execution Americas.
  • Act as the main focal point for HR data governance within the Business Unit, ensuring compliance with global standards, processes, and data quality requirements.
  • Monitor, identify, and resolve data inconsistencies, structural deviations, and transactional errors impacting workforce information.
  • Lead regular reviews and audits of HR data to proactively detect gaps, trends, and risks.
  • Partner with HR Operations, People Partners, managers, and other stakeholders to ensure timely and accurate data maintenance in the ERP.

Staffing Analysis & Workforce Insights

  • Conduct regular staffing analyses to support organizational decision-making, workforce planning, and reporting needs.
  • Analyze headcount movements, organizational changes, vacancy status, position structures, and other workforce-related metrics.
  • Identify and investigate data deviations affecting staffing reports and organizational transparency.
  • Provide clear insights and recommendations to business and HR leaders based on workforce data trends and findings.

Reward & Benefits Governance

  • Act as the Business Unit’s key guardian of corporate Reward & Benefits policies, ensuring consistent application across North America and Latin America.
  • Supervise and support the implementation of corporate reward frameworks, guidelines, and governance principles within the BU.
  • Advise business and HR stakeholders on reward-related matters, ensuring alignment with internal policies and market positioning principles.
  • Support salary review processes, compensation-related analysis, and reward decision-making for management populations when applicable.

Grading & Salary Structure Management

  • Lead and coordinate the grading process for management positions within the Business Unit, ensuring consistency, internal equity, and compliance with corporate methodologies.
  • Maintain and monitor salary structures for management roles, ensuring appropriate positioning and alignment with approved compensation frameworks.
  • Partner with HR, business leaders, and relevant Centers of Expertise to evaluate positions and maintain robust job architecture governance.

Your Profile / Qualifications

Educational Background

Bachelor’s degree in Human Resources, Business Administration, Industrial Engineering, Data Analytics, Finance, or a related field.
Professional Knowledge and Experiences

  • Solid experience in HR, with strong exposure to Reward, Compensation & Benefits, HR data governance, workforce analytics, and organizational management.
  • Experience working with HRIS/ERP systems, preferably Workday.
  • Proven experience in job grading, salary structure management, and application of corporate reward policies.
  • Experience in regional or multinational environments, ideally covering multiple countries across the Americas.
  • Exposure to AI, automation, or digital HR solutions is considered a strong advantage.

Other Skills & Competencies

  • Strong knowledge of HR data management, data accuracy controls, and organizational governance.
  • Strong analytical mindset with the ability to interpret workforce data and translate it into actionable insights.
  • Sound understanding of compensation, benefits governance, grading methodologies, and salary structures.
  • High attention to detail and strong problem-solving capabilities.
  • Ability to manage sensitive and confidential information with discretion.
  • Strong stakeholder management and communication skills, with the ability to work across countries, functions, and leadership levels.
  • Proactive, structured, and solution-oriented approach.
  • Advanced Excel and reporting skills; knowledge of dashboarding and analytics tools is an advantage.
  • Fluency in English is required; Spanish and/or Portuguese are a plus.

The typical base pay range for this position at the start of employment is expected to be between $75,000 - $100,000 per year.  GEA Group has different base pay ranges for different work locations within the United States.

The pay range is not a guarantee of compensation or salary.  The estimated range is the budgeted amount for the position. Final offers are based on various factors, including skill set, experience, location, qualifications, and other job-related reasons.  You may be eligible for additional rewards, such as discretionary bonus (based on eligibility) and/or equity awards.

GEA is an equal opportunity employer. Applicants will therefore receive consideration for employment without regard to age, sex, race, color, religion, world view, national origin, genetics, disability, gender identity, marital status, sexual orientation, veteran status or any other protected characteristic required by applicable law. Applicants with disabilities are welcome and will be given special consideration if they are equally qualified.

#engineeringforthebetter.

This position is based in the United States and does not offer visa or work sponsorship. Applicants must be authorized to work in the U.S. without current or future sponsorship.

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