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Data Privacy Jobs in Ohio (NOW HIRING)

Ohio Machinery Company

Data Engineer

Broadview Heights, OH · On-site

$111K - $133K/yr

Knowledge of applicable data privacy practices and laws. * Strong interpersonal, written, and oral communication skills. * Excellent time management and multitasking ability. * Highly self-motivated ...

Ohio Machinery Co.

Data Engineer

Broadview Heights, OH · On-site

$111K - $133K/yr

Knowledge of applicable data privacy practices and laws. * Strong interpersonal, written, and oral communication skills. * Excellent time management and multitasking ability. * Highly self-motivated ...

Huntington

Data Catalog Delivery Lead

Columbus, OH · On-site

$110 - $160/hr

Proven experience in data governance, data privacy, and data protection. * 2+ years hands‑on experience with Alation required, including configuration of workflows, stewardship models, metadata ...

Huntington

Data Catalog Delivery Lead

Columbus, OH

Proven experience in data governance, data privacy, and data protection * 2+ years hands-on experience with Alation required, including configuration of workflows, stewardship models, metadata ...

Huntington

Data Catalog Delivery Lead

Columbus, OH · On-site

Proven experience in data governance, data privacy, and data protection * 2+ years hands-on experience with Alationrequired, including configuration of workflows, stewardship models, metadata ...

Hawthorne Gardening Co.

Data Steward

Marysville, OH · On-site

$88 - $103/hr

Collaborate on Data Privacy Compliance: Support efforts to ensure compliance with data protection laws and regulations. Assist in the development and implementation of measures to protect sensitive ...

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$10

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How much do data privacy jobs pay per hour?

As of Sep 5, 2026, the average hourly pay for data privacy in Ohio is $51.80, according to ZipRecruiter salary data. Most workers in this role earn between $36.70 and $66.36 per hour, depending on experience, location, and employer.

What is data privacy?

Data privacy refers to the protection of personal or sensitive information from unauthorized access, use, or disclosure. It involves implementing policies, procedures, and technologies to ensure that individuals’ data is collected, stored, and processed in compliance with relevant laws and regulations. Data privacy professionals help organizations mitigate risks, maintain customer trust, and avoid legal penalties by ensuring proper handling of data. This field is especially important in industries that handle large volumes of personal information, such as healthcare, finance, and technology.

What is a data privacy job?

Data privacy jobs focus on helping a company manage and protect information. This has two primary focuses: company information and customer information. In these roles, you may study industry sources to evaluate potential risks, help ensure compliance with applicable laws and regulations, and determine the best response to any violation of these rules. Data privacy jobs often involve using encryption to manage and store sensitive information, determining when or if to share information with others, and creating company policies to help ensure employees do not inadvertently violate privacy protection laws. Some industries—most notably healthcare—have additional data privacy requirements that you may be responsible for enforcing.

What are the key skills and qualifications needed to thrive as a data privacy professional?

To thrive as a Data Privacy professional, you need strong knowledge of data protection laws (like GDPR and CCPA), risk assessment, and compliance best practices, often supported by a relevant degree or certifications such as CIPP or CIPM. Familiarity with privacy management tools, data classification systems, and legal research databases is typically required. Attention to detail, ethical judgment, and effective communication are key soft skills for managing sensitive information and educating stakeholders. These skills ensure organizations remain compliant, protect customer trust, and mitigate the risks of data breaches.

What are some common challenges faced by professionals working in data privacy roles?

Professionals in data privacy roles often encounter challenges such as keeping up with rapidly changing regulations, ensuring organization-wide compliance, and balancing data protection with business needs. They frequently collaborate with IT, legal, and business teams to develop and implement privacy policies, manage data subject requests, and respond to potential data breaches. Staying informed about new technologies and emerging threats is also essential, making continuous learning a key part of the role.

What is the difference between Data Privacy vs Data Security?

AspectData PrivacyData Security
FocusProtecting personal and sensitive information from misuse and ensuring compliance with privacy lawsSafeguarding data from unauthorized access, breaches, and cyber threats
CredentialsPrivacy certifications (e.g., CIPP, CIPM), knowledge of privacy lawsSecurity certifications (e.g., CISSP, CISM), technical security skills
Work EnvironmentLegal, compliance, and policy-driven roles within organizationsIT, cybersecurity teams, technical environments

Data Privacy focuses on protecting personal information and ensuring compliance with privacy regulations, while Data Security emphasizes technical measures to prevent unauthorized data access. Both roles are essential for comprehensive data protection but differ in their primary objectives and skill sets.

What jobs are there in data privacy?

Jobs in data privacy include roles such as Data Privacy Officer, Data Protection Analyst, Privacy Compliance Manager, and Data Security Specialist. These positions involve developing privacy policies, ensuring compliance with regulations like GDPR or CCPA, and implementing data protection measures, often requiring knowledge of privacy laws, risk management, and security tools.
More about Data Privacy jobs

What are the most commonly searched types of Data Privacy jobs in Ohio?

The most popular types of Data Privacy jobs in Ohio are:

What are popular job titles related to Data Privacy jobs in Ohio?

For Data Privacy jobs in Ohio, the most frequently searched job titles are:

What job categories do people searching Data Privacy jobs in Ohio look for?

The top searched job categories for Data Privacy jobs in Ohio are:

What cities in Ohio are hiring for Data Privacy jobs?

Cities in Ohio with the most Data Privacy job openings:

Data Privacy jobs near you
Infographic showing various Data Privacy job openings in Ohio as of August 2026, with employment types broken down into 73% Full Time, 9% Part Time, 9% Temporary, and 9% Contract. Highlights an 91% In-person, and 9% Hybrid job distribution, with an average salary of $107,740 per year, or $51.8 per hour.

Data Engineer

EIS - Exodus Integrity Solutions

Independence, OH

$125 - $135K/hr

Full-time

Posted 17 days ago

Job description

Our Fortune 1000 Client is seeking an experienced Data Engineer for a full time position.  Salary is $125-$135k.   Work is onsite.  

Local Candidates only. No relocation.  No sponsorship available.

Job Description:

The Data Engineer's role is to plan, design, develop, test, implement, and maintain efficient information systems with a primary focus on building scalable data pipelines, Lakehouse environments, semantic models, and governed datasets to support business intelligence and advanced analytics. This individual will apply proven communication, analytical, and problem-solving skills to help identify, plan, and implement integrations between disparate systems to maximize the benefit of business system investments.  Frequent interaction is required with internal analysts, project leaders, as well as other internal and external stakeholders such as third-party software vendors.
 
Essential Functions and Responsibilities:
  • Microsoft Fabric / Azure
    • Build and maintain Fabric Lakehouses, Data Warehouses, and OneLake storage layers.
    • Develop Fabric Data Pipelines (Data Factory) for ingestion, transformation, orchestration, and automation.
    • Create and optimize Spark notebooks for ETL/ELT workloads.
    • Implement medallion architecture (bronze/silver/gold) within Fabric.
    • Manage and monitor workloads using Fabric capacities, workspaces, and governance features.
  • Data Modeling & BI
    • Build and maintain semantic models for reporting teams.
    • Work closely with reporting developers (Power BI) to ensure performant data models.
    • Optimize large-scale datasets for consumption and self-service analytics.
  • Data Engineering Core Skills
    • Design, build, and maintain scalable and reliable data pipelines.
    • Work with structured/unstructured data, Delta Lake, parquet, and data lake formats.
    • Implement best practices for data quality, lineage, monitoring, and observability.
    • Improve data performance through indexing, partitioning, caching, and optimization.
  • Collaboration
    • Work with business stakeholders to gather requirements.
    • Contribute to data governance and metadata management practices.
    • Ensure the integrity and security of enterprise data on host computers and databases, and during data transfers, in accordance with business needs and industry best practices regarding privacy, security, and compliance.
    • Conduct research on emerging products, services, protocols, and standards in support of systems software procurement and development efforts.
    • Develop, document, and maintain policies, procedures, and associated training plans for system administration and appropriate use.
    • Provide guidance and serve as an escalation to Help Desk.
    • Recommend, schedule, and perform software and related system improvement, upgrades, patches, reconfigurations, and/or purchases.
Minimum Skills and Qualifications: 
  • College degree or equivalent experience in information technology.
  • Related industry certifications are expected. 
  • Strong knowledge of API Integration & Development.  Enterprise application integration and other middleware technologies, such as web services, databases, and application/content integration.
  • Experience with Microsoft Fabric (Data Factory, Lakehouse, Warehouse).
  • Familiarity with Azure Data Services (ADLS, Synapse, ADF, Databricks, etc.).
  • Strong SQL development expertise.
  • Experience with Microsoft SharePoint or similar collaboration tools.
  • A highly qualified candidate would be familiar with some of the following: SharePoint Online, MS Power Automate, Power BI, Reporting Services, and Excel (Pivot Tables).
  • Experience documenting and maintaining configuration and process information.
  • Knowledge of applicable data privacy practices and laws.
  • Strong interpersonal, written, and oral communication skills.
  • Excellent time management and multitasking ability.
  • Highly self-motivated and directed, with strong attention to detail.
  • After hours and weekends, on-call availability.
  • Reliable transportation and freedom to travel upon request.  (Less than 10%.)

*Exodus Integrity Services (EIS) is an equal opportunity employer. In accordance with anti-discrimination law, it is the purpose of this policy to effectuate these principles and mandates. EIS prohibits discrimination and harassment of any type and affords equal employment opportunities to employees and applicants without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law. EIS conforms to the spirit as well as to the letter of all applicable laws and regulations.”

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