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Data Integrity Engineer Jobs in Ohio (NOW HIRING)

Ensure CRM data integrity and reporting accuracy, and partner with sales leadership on onboarding ... Milacron is a global leader in the manufacture, distribution and service of highly engineered and ...

Automation Engineer Location: New Albany, OH Position Summary Seeking a mid-level Automation ... Ensure compliance with cGMP, FDA, 21 CFR Part 11, data integrity, and safety requirements.

Data Engineer/Python SQL Developer

Dayton, OH · On-site

$46.75 - $64.50/hr

... of integrity. SierTeK Ltd. is seeking a Data Engineer/Python & SQL Developer to support an ... opportunity remotely. PLEASE APPLY DIRECLTY ON OUR WEBSITE: Position Overview Section We are ...

Data Engineer/Python SQL Developer

Dayton, OH · Remote

$46.75 - $64.50/hr

... of integrity. SierTeK Ltd. is seeking a Data Engineer/Python & SQL Developer to support an ... opportunity remotely. PLEASE APPLY DIRECLTY ON OUR WEBSITE: www.siertek.com/careers Position ...

Data Engineer/Python SQL Developer

Dayton, OH · On-site

$46.75 - $64.50/hr

... of integrity. SierTeK Ltd. is seeking a Data Engineer/Python & SQL Developer to support an ... opportunity remotely. PLEASE APPLY DIRECLTY ON OUR WEBSITE: www.siertek.com/careers Position ...

... 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 ...

... 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 ...

... 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 ...

Metadata management and data integrity skills. Perform system and data analysis based on business ... Strong knowledge (3+ years) in Technologies/Programming such as Core Java, VB Scripting, SQL, Basic ...

New

This role leads team members in data engineering, enterprise integrations, data architecture, data ... the integrity of enterprise data assets. Driving Data Democratization: Develop and execute a ...

... data integrity and security, provides operational excellence, and drives organizational impact ... This role leads team members in data engineering, enterprise integrations, data architecture, data ...

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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 cities in Ohio are hiring for Data Integrity Engineer jobs? Cities in Ohio with the most Data Integrity Engineer job openings:
Infographic showing various Data Integrity Engineer job openings in Ohio as of July 2026, with employment types broken down into 1% As Needed, 82% Full Time, 15% Part Time, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Instrument Software Validation Analyst

NTT DATA North America

Cincinnati, OH • On-site

Full-time

Posted 19 days ago


Job description

Job Summary:
NTT DATA is a global innovator of business and technology services, seeking an experienced Instrument Software Validation Analyst to join their team in Cincinnati, Ohio. This role focuses on ensuring that laboratory, manufacturing, and embedded software systems operate reliably and in compliance with regulatory requirements, while maintaining validated systems through structured validation processes.
Responsibilities:
• Validate software installed on laboratory and manufacturing instruments in compliance with EMA, FDA, and GxP guidelines
• Develop and execute validation protocols including Installation Qualification (IQ), Operational Qualification (OQ), and Performance Qualification (PQ)
• Ensure systems remain in a validated state throughout their lifecycle
• Author and maintain validation documentation including: Validation Plans and Reports, User Requirement Specifications (URS), Functional/Design Specifications, Traceability Matrices
• Ensure compliance with 21 CFR Part 11, GAMP 5, and data integrity standards
• Gather and document system requirements
• Develop software specifications and validation test cases
• Create infrastructure diagrams and data flow documentation
• Document current-state software configurations
• Perform functional, integration, regression, and data integrity testing
• Identify, document, and troubleshoot validation deviations
• Conduct root cause analysis and collaborate with cross-functional teams to resolve issues
• Conduct risk assessments (e.g., FMEA) to identify and mitigate system risks
• Support and implement change control procedures for software updates and enhancements
• Transition legacy SOPs to updated IT software management SOPs
Qualifications:
Required:
• Education: Bachelor's degree in Computer Science, Engineering, Life Sciences, or related field
• Experience: 2–5+ years of experience in Computer System Validation (CSV) or software validation in regulated industries (pharmaceutical, biotech, or medical devices)
• Regulatory Knowledge: 5+ years of strong understanding of: FDA, EMA, and GMP regulations, 21 CFR Part 11, GAMP 5 guidelines, Data integrity principles
• Technical Expertise: 3 to 5 years of experience with: Laboratory systems such as LIMS, Chromatography Data Systems (e.g., Empower), Familiarity with validation lifecycle and documentation standards
• Core Competencies: Strong analytical and problem-solving skills, Excellent technical writing and documentation abilities, Attention to detail with a quality-focused mindset, Ability to work cross-functionally with IT, QA, and business teams
Preferred:
• Experience in global regulatory environments
• Exposure to instrument software in laboratory or manufacturing settings
• Knowledge of SOP migration and system lifecycle management
Company:
NTT DATA, Inc. is a trusted global innovator of business and technology services. Founded in 1988, the company is headquartered in Plano, USA, with a team of 10001+ employees. The company is currently Late Stage.