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Data Protection Jobs in Cleveland, OH (NOW HIRING)

Quality Engineer

Cleveland, OH · On-site

$78K - $85K/yr

We adhere to all applicable data protection laws, including Illinois and federal requirements. For details on our privacy practices, please visit our Privacy Policy. By submitting your application ...

Apply best practices for data protection, integrity, and governance across systems and integrations. * Support ongoing platform improvements and operational initiatives related to connected systems ...

Data Scientist

Bath, OH · On-site

$110 - $170/hr

Utilize advanced data science methods to analyze and exploit GEOINT data and other sources of ... national origin, disability, or protected veteran status. Our growth is creating great ...

... protected by applicable law. All applicants for employment and all Goosehead employees are given equal consideration based solely on job-related factors, such as qualifications, experience ...

Data Engineer II

Lakewood, OH · On-site

$103K - $123K/yr

The Data Engineer II will play a vital role in our Data transformation journey - helping move the ... protection legislation and regulations. Builds working knowledge of all applicable laws and ...

If you love data and are looking for unlimited growth opportunities, we want to talk with you about ... Our total rewards program is designed for your protection, peace of mind, and overall well-being.

Showing results 41-60

Data Protection information

See Cleveland, OH salary details

$22K

$102K

$202K

How much do data protection jobs pay per year?

As of Aug 21, 2026, the average yearly pay for data protection in Cleveland, OH is $102,015.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,860.00 and $134,189.00 per year, depending on experience, location, and employer.

What is a data protection officer?

Data protection officers (DPOs) are professionals responsible for ensuring that an organization complies with data protection laws and regulations, such as the GDPR in Europe. Their duties typically include advising on data protection obligations, monitoring internal compliance, conducting data protection impact assessments, and serving as a point of contact for supervisory authorities and individuals whose data is processed. DPOs play a crucial role in safeguarding sensitive information and helping organizations build trust with customers and stakeholders by managing data responsibly.

How does a data protection professional typically collaborate with other departments to ensure compliance?

Data Protection professionals work closely with various departments such as IT, Legal, HR, and Operations to implement and monitor data privacy protocols. They often lead training sessions, advise on best practices, and help integrate data protection requirements into business processes. Regular communication and collaboration are essential, as they must ensure that all teams understand their responsibilities regarding sensitive data. This cross-functional teamwork helps maintain company-wide compliance and mitigates risks associated with data breaches.

What are the key skills and qualifications needed to thrive in data protection, and why are they important?

To thrive in Data Protection, a strong understanding of data privacy laws, risk management, and information security—often supported by relevant degrees or certifications like CIPP or CISSP—is essential. Familiarity with data loss prevention (DLP) tools, encryption technologies, and compliance management systems is typically required. Excellent analytical thinking, attention to detail, and effective communication skills help professionals identify risks and educate stakeholders. These abilities ensure organizations maintain regulatory compliance, protect sensitive information, and build trust with clients and partners.

What is the difference between Data Protection vs Data Privacy Officer?

AspectData ProtectionData Privacy Officer
Primary FocusImplementing technical and organizational measures to secure dataEnsuring compliance with privacy laws and policies
CertificationsISO 27001, CISSP, CISMCIPP, CIPM, CIPT
Work EnvironmentIT departments, security teamsLegal, compliance, and policy teams
Industry UsageAcross sectors with data security needsPrimarily in organizations handling personal data

While both roles focus on data, Data Protection emphasizes securing data through technical measures, whereas Data Privacy Officers focus on legal compliance and policy adherence related to personal data. Understanding these distinctions helps organizations assign the right responsibilities and certifications for each role.

How to start a career in data protection?

To start a career in data protection, gain knowledge of cybersecurity principles, data privacy laws, and risk management. Obtain relevant certifications such as Certified Information Privacy Professional (CIPP) or CompTIA Security+ and develop skills in data security tools and practices. Entry-level roles often require a bachelor's degree in computer science, information technology, or related fields.

Is data protection a stressful job?

Data protection roles can be stressful due to the responsibility of safeguarding sensitive information and ensuring compliance with regulations. The job often involves managing complex security protocols, responding to security incidents, and staying updated on evolving threats, which can contribute to work pressure. However, workload and stress levels vary depending on the organization and specific role.

What is a data protection job?

A data protection job involves safeguarding sensitive information from unauthorized access, breaches, and cyber threats. Professionals in this field often work with security policies, encryption tools, and compliance standards to ensure data privacy and integrity within organizations.

What skills are needed for data protection jobs?

Data protection jobs require strong knowledge of cybersecurity principles, data privacy laws, and risk management. Skills in network security, encryption, and familiarity with security tools and protocols are essential, along with attention to detail and problem-solving abilities. Certifications like CISSP or CISM can enhance qualifications.

What are popular job titles related to Data Protection jobs in Cleveland, OH?

For Data Protection jobs in Cleveland, OH, the most frequently searched job titles are:

What job categories do people searching Data Protection jobs in Cleveland, OH look for?

The top searched job categories for Data Protection jobs in Cleveland, OH are:

Infographic showing various Data Protection job openings in Cleveland, OH as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $102,015 per year, or $49 per hour.

$125 - $135K/hr

Other

Posted 3 days ago

New


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."