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Data Integrity Engineer Jobs in Ohio (NOW HIRING)

A-TEK Inc.

Senior Data Engineer

Continental, OH · On-site +1

$160K - $170K/yr

Experience implementing data governance, metadata management, data quality, and data integrity controls * Proficiency with SQL and Python-based data engineering and automation * Experience with cloud ...

DPDHL

Lead Data Engineer

Westerville, OH · On-site

$85K - $150K/yr

Data Engineering * Use of azure data factory especially with metadata driven pipelines. * Strong ... upholding data integrity and accessibility. The successful candidate will collaborate with ...

DHL

Lead Data Engineer

Westerville, OH · On-site

$85K - $150K/yr

Data Engineering * Use of azure data factory especially with metadata driven pipelines. * Strong ... upholding data integrity and accessibility. The successful candidate will collaborate with ...

Belcan, LLC

Data Scientist

Cincinnati, OH

$120K - $130K/yr

Data Scientist positions offered by Belcan Engineering Group, LLC (Cincinnati, OH). Responsible for ... Authenticate data and preserve data integrity; Use data visualization tools to present findings and ...

Belcan

Data Scientist

Cincinnati, OH · On-site

$120K - $130K/yr

Data Scientist positions offered by Belcan Engineering Group, LLC (Cincinnati, OH). Responsible for ... Authenticate data and preserve data integrity; Use data visualization tools to present findings and ...

Milacron

Master Data and Systems Manager

Batavia, OH · On-site

Define, implement, and manage key performance indicators (KPIs) that measure data integrity, data ... Partner with engineering, supply chain, and operations to ensure master data, BOMs, and planning ...

Quanex

Manager, Data Governance

Akron, OH · On-site

... 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 ...

Cape Fox SS

Research Database Developer

Cincinnati, OH · Remote

$90K - $120K/yr

A thorough understanding of data integrity, secure data handling, and compliance with Good Clinical ... Develop and maintain databases using programming languages such as Visual Basic, Visual Basic for ...

Cynet Systems

Data Engineer

Mason, OH

$55 - $60/hr

Data Engineer Pay Range: $55/hr - $60/hr Requirement/Must Have: * 7+ years of experience in Data ... Ensure data quality, integrity, and availability across systems. Nice to Have: * Experience with ...

Cynet Systems

Data Engineer

Mason, OH

$52 - $57/hr

Data Engineer Job Location: Mason, OH Job Type: Contract Job Overview: Pay Range: $52hr - $57hr ... Ensure data consistency, integrity, and governance Cloud & Data Ecosystem Design and manage cloud ...

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All JobsData Integrity Engineer JobsData Integrity Engineer Jobs in Ohio

Data Integrity Engineer information

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 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 Ohio? For Data Integrity Engineer jobs in Ohio, the most frequently searched job titles are:
What job categories do people searching Data Integrity Engineer jobs in Ohio look for? The top searched job categories for Data Integrity Engineer jobs in Ohio are:
What cities in Ohio are hiring for Data Integrity Engineer jobs? Cities in Ohio with the most Data Integrity Engineer job openings:
Data Integrity Engineer jobs near you
Infographic showing various Data Integrity Engineer job openings in Ohio as of June 2026, with employment types broken down into 100% Full Time. Highlights an 90% In-person, and 10% Hybrid job distribution.
Senior Data Engineer

Senior Data Engineer

A-TEK Inc.

Continental, OH • On-site, Remote

$160K - $170K/yr

Other

Medical, Dental, Vision, Retirement, PTO

Posted 14 days ago

Job description

Senior Data Engineer (Cloud & Data Modernization)

A-TEK is seeking a Senior Data Engineer to support enterprise data modernization, cloud-native data engineering, analytics enablement, and data governance initiatives for Federal customers. This role focuses on designing and implementing scalable data platforms, automated ETL/ELT pipelines, and modern cloud-based data solutions supporting scientific, operational, and mission-critical environments.

The ideal candidate combines strong hands-on engineering expertise with the ability to collaborate across technical and non-technical teams to modernize data ecosystems and improve enterprise data accessibility, quality, governance, and analytics capabilities.

NOAA experience is preferred. This position is remote and requires the ability to obtain and retain a public-trust clearance.

 

Responsibilities

  • Design, develop, and optimize enterprise data warehouses and large-scale ETL/ELT pipelines
  • Engineer cloud-native data processing solutions supporting structured, semi-structured, and unstructured data
  • Develop scalable ingestion and transformation frameworks for high-volume and real-time data processing
  • Support modernization of legacy data environments into cloud-based architectures
  • Design and implement data models, schemas, and database structures optimized for analytics and reporting
  • Develop metadata-driven automation, data quality validation, lineage tracking, and governance capabilities
  • Build and maintain reporting, analytics, and dashboarding solutions supporting operational and executive decision-making
  • Collaborate with architects, engineers, analysts, and business stakeholders to define technical requirements and implementation strategies
  • Support AI/ML and advanced analytics initiatives through scalable data engineering and MLOps-ready infrastructure
  • Implement Infrastructure-as-Code (IaC), CI/CD pipelines, and automated deployment processes
  • Perform database tuning, query optimization, and performance engineering activities
  • Support secure data management and compliance with Federal security and data governance requirements
  • Provide technical leadership, mentoring, and engineering best practices across project teams

 

Required Qualifications

  • Bachelor's degree in Computer Science, Information Systems, Engineering, or related field
  • 7+ years of experience in data engineering, data warehousing, database engineering, or related disciplines
  • Strong experience designing and implementing ETL/ELT pipelines and enterprise data warehouse solutions
  • Experience with distributed processing frameworks and cloud-native data ecosystems
  • Strong experience with data modeling, database design, and dimensional modeling techniques
  • Experience implementing data governance, metadata management, data quality, and data integrity controls
  • Proficiency with SQL and Python-based data engineering and automation
  • Experience with cloud data platforms and services in AWS, Azure, or Google Cloud
  • Experience supporting large-scale, modern data modernization initiatives
  • Strong verbal and written communication skills with the ability to explain complex technical concepts to both technical and non-technical stakeholders
  • Experience collaborating across cross-functional teams in Agile or DevSecOps environments

 

Preferred Qualifications

  • NOAA or broader Federal civilian agency experience
  • Experience supporting scientific, environmental, geospatial, or research data environments
  • Experience with GIS or geospatial data platforms
  • Experience with AI/ML data engineering or MLOps support
  • Experience with Infrastructure-as-Code and CI/CD automation
  • Familiarity with metadata management, data catalogs, and enterprise governance frameworks
  • Experience with real-time streaming or event-driven data architectures
  • AWS or Azure certifications

 

Preferred Technical Skills

  • SQL Server, PostgreSQL, Oracle, or cloud-native databases
  • Azure Data Factory, SSIS, Informatica, dbt, Airflow, or similar ETL frameworks
  • Azure Synapse, Databricks, Spark, Hadoop, Kafka, or distributed analytics platforms
  • Python, Pandas, NumPy, PySpark
  • Power BI, Tableau, SSRS, or enterprise analytics platforms
  • Docker, Kubernetes, Git, Azure DevOps, Jenkins, Terraform, or similar DevOps technologies
  • REST APIs and data integration services

 

Compensation

  • Salary Range: $160,000 - $170,000 annually (commensurate with experience, professional certifications and location)
  • Benefits: Health, dental, and vision insurance; 401(k) with employer match; paid time off; professional development opportunities.

 

 

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