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Data Integrity Engineer Jobs in Wisconsin (NOW HIRING)

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 ...

Test Engineer This role focuses on supporting and improving automated test systems and ... Implement and support cybersecurity controls and data integrity standards for test systems and ...

Test Engineer This role focuses on supporting and improving automated test systems and ... Implement and support cybersecurity controls and data integrity standards for test systems and ...

... data integrity and system controls Your Credentials: * Bachelor's degree in Engineering ... Information Systems, Data Management, or a related field * 7+ years of experience in data ...

... Developer to help build and support high-quality data solutions across the firm. In this role, you ... Develop, test, and maintain ETL/ELT processes that ensure data integrity and reliability * Provide ...

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 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

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.

Big Data Engineer, Senior

Fiserv, Inc.

Milwaukee, WI • On-site

$55 - $72.75/hr

Full-time

Re-posted 3 days ago


Fiserv rating

7.7

Company rating: 7.7 out of 10

Based on 95 frontline employees who took The Breakroom Quiz

105th of 150 rated financial services


Job description

Calling all innovators - find your future at Fiserv.
We're Fiserv, a global leader in Fintech and payments, and we move money and information in a way that moves the world. We connect financial institutions, corporations, merchants and consumers to one another millions of times a day - quickly, reliably, and securely. Any time you swipe your credit card, pay through a mobile app, or withdraw money from the bank, we're involved. If you want to make an impact on a global scale, come make a difference at Fiserv.
Job Title
Big Data Engineer, Senior
TITLE: Big Data Engineer, Senior
EMPLOYER: Fiserv Solutions, LLC
LOCATION: Milwaukee, WI (and various unanticipated locations throughout the US subject to authorization from management)
DUTIES: Design, develop, and implement data products to meet specific client requirements and business objectives. Manage the end-to-end process of data deliveries to ensure timely, accurate, and secure data transfers to clients. Provide support and maintenance for data jobs to ensure their continuous and reliable operations. Conduct rigorous product validation against functional specifications and client expectations to confirm the data product's readiness and suitability for deployment. 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 gather requirements, troubleshoot issues, and communicate progress on product development and data delivery status.
REQUIREMENTS: Bachelor's degree in Computer Science, Computer Engineering, Electronic Engineering or a related field and 4 years in any job title involving data analytics and data engineering experience. Prior experience must include: 4 years managing end-to-end data delivery pipelines and production support; 4 years working in SQL and with relational and columnar databases; 4 years programming in Python, Scala or Java; 4 years working with data validation and quality assurance practices; 3 years building repeatable data pipelines using ETL frameworks; 3 years working with orchestration and scheduling tools for job workflows; 3 years working with cloud data platforms and storage including Azure, AWS or GCP; 3 years working with data delivery mechanisms and secure file transfer patterns; 2 years working with version control (GIT) and CI/CD pipelines for deployment and change management; and 2 years of data analysis identifying patterns and trends in large data sets.
TRAVEL: None
TO APPLY: Apply by selecting "Apply" on this page and following prompts to attach resume and submit.
JOB CODE: VD591
#P3M
It is unlawful to discriminate against a prospective employee due to the individual's status as a veteran.
Our commitment to Equal Opportunity:
Fiserv is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, gender, gender identity, sexual orientation, age, disability, protected veteran status, or any other category protected by law.
If you have a disability and require a reasonable accommodation in completing a job application or otherwise participating in the overall hiring process, please contact AskHR.US@fiserv.com. Please note our AskHR representatives do not have visibility to your application status. Current associates who require a workplace accommodation should refer to Fiserv's Disability Accommodation Policy for additional information.
Note to agencies:
Fiserv does not accept resume submissions from agencies outside of existing agreements. Please do not send resumes to Fiserv associates. Fiserv is not responsible for any fees associated with unsolicited resume submissions.
Warning about fake job posts:
Please be aware of fraudulent job postings that are not affiliated with Fiserv. Fraudulent job postings may be used by cyber criminals to target your personally identifiable information and/or to steal money or financial information. Any communications from a Fiserv representative will come from a legitimate Fiserv email address.

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