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Data Integrity Engineer Jobs in Wisconsin (NOW HIRING)

Artisan Partners

Data Platform Engineer

Milwaukee, WI · Hybrid

$112K - $135K/yr

Artisan Partners is seeking a Data Platform Engineer to join our Data Platform Systems team. This ... Support data integrity, control, reconciliation, lineage, and auditability initiatives

Artisan Partners

Data Platform Engineer

Milwaukee, WI · On-site

$112K - $135K/yr

Artisan Partners is seeking a Data Platform Engineer to join our Data Platform Systems team. This ... Support data integrity, control, reconciliation, lineage, and auditability initiatives

Actalent

Data Reviewer

Madison, WI

$35 - $43/hr

Review method validation data for accuracy, integrity, and regulatory compliance. * Work with ... About Actalent Actalent is a global leader in engineering and sciences services and talent ...

Fiserv, Inc.

Big Data Engineer, Senior

Milwaukee, WI · On-site

$55 - $72.75/hr

Perform in-depth data quality analysis, identifying and resolving anomalies, inconsistencies, and errors to maintain data integrity. Work closely with developers, analysts, and client-facing teams to ...

Monitise

Big Data Engineer, Senior

Milwaukee, WI · On-site

$55 - $72.75/hr

Perform in-depth data quality analysis, identifying and resolving anomalies, inconsistencies, and errors to maintain data integrity. Work closely with developers, analysts, and client-facing teams to ...

MDI Holdco LLC

Manufacturing Engineer

Port Washington, WI · On-site

$70K - $85K/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

$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 ...

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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 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
Manager, Data Integrity

Manager, Data Integrity

Arrowhead Pharmaceuticals

Verona, WI • On-site

Full-time

Posted 21 days ago

Job description

Arrowhead Pharmaceuticals, Inc. (Nasdaq ARWR) is a commercial stage biopharmaceutical company that develops medicines that treat intractable diseases by silencing the genes that cause them. Using a broad portfolio of RNA chemistries and efficient modes of delivery, Arrowhead therapies trigger the RNA interference mechanism to induce rapid, deep, and durable knockdown of target genes. RNA interference, or RNAi, is a mechanism present in living cells that inhibits the expression of a specific gene, thereby affecting the production of a specific protein. Arrowhead's RNAi-based therapeutics leverage this natural pathway of gene silencing.
Arrowhead is focused on developing innovative drugs for diseases with a genetic basis, typically characterized by the overproduction of one or more proteins that are involved with disease. The depth and versatility of our RNAi technologies enables us to potentially address conditions in virtually any therapeutic area and pursue disease targets that are not otherwise addressable by small molecules and biologics. Arrowhead is leading the field in bringing the promise of RNAi to address diseases outside of the liver, and our clinical pipeline includes disease targets in the liver and lung with a promising pipeline of preclinical candidates.
Arrowhead's corporate headquarters is in Pasadena, CA with research and development teams in Madison, WI & San Diego, CA, and a state of the art manufacturing facility in Verona, WI. Our employees are nimble, science-driven innovators who are collaborating to bring new therapies to patients in need.
The Position
Serve as a hands-on team leader and subject matter expert supporting the company's data integrity and quality management programs across GxP operations. This role is responsible for executing assessments, driving remediation, and maintaining compliance with applicable data integrity frameworks and standards (e.g., 21 CFR Part 11, Annex 11, , PIC/S), while contributing to QMS program execution and compliant data management practices.. The role is expected to interact with multiple internal departments in support of data integrity management initiatives.
Responsibilities
  • Execute and support the implementation of data integrity policies, procedures, and program elements in alignment with global data integrity regulatory requirements; identify gaps and drive hands-on remediation.
  • Coordinate cross-functional data integrity activities, serving as a working-level point of contact to maintain program momentum and support peer teams in adopting compliant data management practices.
  • Conduct data integrity impact assessments, risk evaluations, and remediation plans; track progress and ensure timely closure of commitments.
  • Evaluate data management, documentation, and record control practices across systems and formats; flag non-conformances and support corrective action.
  • Assess computerized systems, software, and equipment for compliance with 21 CFR Part 11, Annex 11, and related guidance; document findings and support risk-based computer system validation and assurance activities (CSV/CSA).
  • Participate in and support data integrity audits and assessments; contribute to risk identification, gap analysis, and mitigation execution.
  • Author and execute CAPAs and process improvement initiatives to strengthen data integrity controls.
  • Manage and mentor direct reports to support professional development and build data integrity team capability.
  • Support in the development and delivery of data integrity training materials; serve as a go-to resource for team members on ALCOA++ principles, regulatory requirements, and compliant data practices.
  • Support regulatory inspections and partner audits as a subject matter contributor; prepare documentation and respond to data integrity inquiries.
  • Support ongoing data governance initiatives and compliant data management practices aligned with regulatory expectations.
  • Perform additional duties as assigned to support objectives.

Requirements:
  • Bachelor's degree in science, engineering, information technology, computer science, data management, or a related technical discipline.
  • Minimum of five (5) years of experience in the regulated pharmaceutical, biotechnology, or combination product industry, including demonstrated ability to coordinate or guide team-level work with increasing scope of responsibility.
  • Comprehensive knowledge of GxP regulations, including GMP (FDA, EU, etc.), ICH guidelines, and ISO standards.
  • Demonstrated expertise with data integrity principles, data lifecycle management, and data governance frameworks.
  • Proven experience applying 21 CFR Part 11, Annex 11, and other relevant regulations and guidance governing data integrity and information security.
  • Strong understanding of information technology and data management systems, including system validation, security, and enterprise data governance.
  • Demonstrated ability to coordinate cross-functional tasks, build effective peer relationships, and advance data integrity objectives through influence without formal authority.
  • Detail-oriented and solutions-focused, with demonstrated ability to manage competing priorities, escalate risks appropriately, and deliver on commitments.
  • Strong written and verbal communication skills; able to translate technical compliance requirements into clear, actionable guidance for cross-functional teams.
  • Previous experience with the use of electronic document / quality management systems (EDMS / EQMS).
  • Ability for occasional business travel.

Preferred:
  • Advanced degree preferred.
  • Certification or formal training in quality management, data integrity, data governance, or regulatory compliance (e.g., ASQ, ISPE, PDA, or equivalent).

Wisconsin pay range
$115,000-$130,000 USD
Arrowhead provides competitive salaries and an excellent benefit package.
Candidates must have current, valid authorization to work in the country where this role is located.
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