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Data Protection Officer Jobs in Silver Spring, MD

Data Engineer

Mclean, VA

$115K - $139K/yr

... the Chief Information Officer (OCIO). Duties and Responsibilities: * Data Pipeline & ETL ... protection requirements. * DevOps & CI/CD Support: Maintain source control and CI/CD pipelines for ...

As a Cybersecurity Officer (CSO) , you will protect data and systems using sophisticated tools, instrumentation, and knowledge of government Information Technology (IT) and tradecraft to monitor ...

... officers, and governance teams * Provide communication tailored to both technical and non-technical audiences Qualifications: * 2-5+ years of experience in cybersecurity, data protection, fraud, risk ...

Responsibilities As a Cybersecurity Officer (CSO) , you will protect data and systems using sophisticated tools, instrumentation, and knowledge of government Information Technology (IT) and ...

Responsibilities As a Cybersecurity Officer (CSO) , you will protect data and systems using sophisticated tools, instrumentation, and knowledge of government Information Technology (IT) and ...

Chief Digital & Data Officer Location: United States (Remote) Interested applicants must reside in ... Experience working in regulated environments with a focus on data privacy, data protection, and ...

Data Privacy SME

Washington, DC · On-site

$100K - $145K/yr

... data protection and regulatory compliance. This position will be based out of the Washington DC ... Officer within a federal or DoD environment * Hands-on tool experience associated with data ...

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Data Protection Officer information

See Silver Spring, MD salary details

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How much do data protection officer jobs pay per hour?

As of Jun 16, 2026, the average hourly pay for data protection officer in Silver Spring, MD is $19.98, according to ZipRecruiter salary data. Most workers in this role earn between $17.88 and $21.88 per hour, depending on experience, location, and employer.

What are some common challenges faced by Data Protection Officers in their day-to-day work?

Data Protection Officers often encounter challenges such as keeping up with evolving regulations, balancing organizational data needs with privacy requirements, and responding to data breaches or audits under tight timelines. They work closely with IT, legal, and business teams to design compliant workflows and educate employees on data protection best practices. As the volume and complexity of data increase, DPOs must be proactive in identifying potential risks and implementing effective mitigation strategies. These challenges make the role dynamic and require a continuous commitment to professional development and stakeholder engagement.

How much does a DPO make in the US?

The average salary for a Data Protection Officer in the US ranges from $80,000 to $150,000 annually, depending on experience, industry, and location. Senior DPOs with certifications like CIPP or CIPM and strong knowledge of data privacy laws can earn higher salaries, especially in large organizations or tech sectors.

How much do DPOs make?

Data Protection Officers (DPOs) typically earn between $70,000 and $130,000 annually, depending on experience, industry, and location. Senior DPOs with certifications like CIPP/E or CIPM and extensive compliance expertise can earn higher salaries, especially in large organizations or regulated sectors.

Is DPO a stressful job?

A Data Protection Officer (DPO) role can be stressful due to the responsibility of ensuring compliance with data privacy laws and managing sensitive information. The job often involves handling complex regulations, conducting audits, and addressing data breach incidents, which can contribute to work pressure. However, stress levels vary depending on the organization, workload, and experience of the individual.

What is a Data Protection Officer job?

A Data Protection Officer (DPO) is responsible for overseeing an organization's data protection strategy and ensuring compliance with relevant data privacy laws, such as the GDPR. They act as an independent advisor, monitoring data processing activities, conducting training, and liaising with regulatory authorities. The DPO helps mitigate data risks, responds to data protection inquiries, and ensures that personal data is handled securely. Their role is essential for safeguarding sensitive information and maintaining public trust.

What are the key skills and qualifications needed to thrive in the Data Protection Officer position, and why are they important?

To thrive as a Data Protection Officer, you need deep knowledge of data protection laws (such as GDPR), risk assessment, and compliance management, typically supported by a degree in law, IT, or a related field. Familiarity with data governance software, regulatory compliance tools, and certifications like CIPP/E or CIPM are highly valued. Strong communication, problem-solving, and organizational skills help you effectively advise teams and handle sensitive information. These competencies are vital to ensuring an organization meets legal obligations and maintains trust in its data handling practices.

What qualifications do you need to be a data protection officer?

A Data Protection Officer typically needs a strong understanding of data privacy laws such as GDPR, relevant professional certifications like CIPP or CIPM, and experience in data management, compliance, or cybersecurity. Good communication skills and the ability to interpret legal requirements are also important for the role.
What are popular job titles related to Data Protection Officer jobs in Silver Spring, MD? For Data Protection Officer jobs in Silver Spring, MD, the most frequently searched job titles are:

$115K - $139K/yr

Full-time

Medical, Retirement, PTO

Posted 17 days ago


Job description

CTEC is a leading technology firm that provides modernization, digital transformation, and application development services to the U.S. Federal Government. Headquartered in McLean, VA, CTEC has over 300 team members working on mission-critical systems and projects for agencies such as the Department of Homeland Security, Internal Revenue Service, and the Office of Personnel Management. The work we do effects millions of U.S. citizens daily as they interact with the systems we build. Our best-in-class commercial solutions, modified for our customers' bespoke mission requirements, are enabling this future every day.

The Company has experienced rapid growth over the past 3 years and recently received a strategic investment from Main Street Capital Corporation (NYSE: MAIN). In addition to our recent growth in Federal Civilian agencies, we are seeking to expand our capabilities in cloud development and footprint in national-security focused agencies within the Department of Defense and U.S. Intelligence Community.

We are seeking to hire a Data Engineer to our team!

Client:
CTEC develops and delivers innovative customer-centric technologies and solutions that support the Office of Personnel Management's (OPM) Health and Insurance business unit and Office of the Chief Information Officer (OCIO).

Duties and Responsibilities:

  • Data Pipeline & ETL Development: Design, develop, and maintain scalable ETL pipelines and data workflows to ingest, transform, and integrate data from legacy systems and external sources into modern cloud-based data platforms.
  • Cloud Data Platform & Databricks Implementation: Build, optimize, and maintain data processing solutions using Azure Databricks and lakehouse architectures to support analytical, operational, and reporting use cases.
  • Data Migration Support: Support phased data migration from legacy databases and ETL tools to Azure Databricks environments, including transformation documentation and data mapping.
  • Lakehouse & Data Layer Design: Implement layered lakehouse data architectures (e.g., bronze, silver, gold layers) in Databricks to support data quality, performance, and downstream reporting needs.
  • Python & PySpark Development: Develop data processing notebooks, workflows, and distributed data transformations using Python and PySpark within Databricks environments.
  • Data Quality & Validation: Develop data validation, reconciliation, and testing processes to ensure data accuracy, completeness, and consistency across data domains.
  • Data Integration & Interoperability: Integrate Databricks data platforms with analytics and reporting tools to enable business intelligence and operational dashboards.
  • Data Governance & Security Implementation: Support data governance initiatives including metadata management, data catalog integration, encryption, access controls, and compliance with federal data protection requirements.
  • DevOps & CI/CD Support: Maintain source control and CI/CD pipelines for Databricks and data engineering workflows, supporting automated promotion across environments.
  • Technical Collaboration: Work closely with data architects, solution architects, business analysts, and reporting teams to implement approved data solutions.
  • Operational Support & Troubleshooting: Provide ongoing support for Databricks workflows, resolve pipeline failures, and troubleshoot complex data processing issues.
  • Mentorship & Knowledge Sharing: Provide guidance to junior data engineers and contribute to documentation and team enablement.
  • Works under minimal supervision with minor guidance from senior personnel.

Skills & Work Experience:

  • Professional Experience: 7+ years of experience in data engineering, ETL development, or large-scale data integration environments.
  • Strong experience designing and developing ETL pipelines and data transformations in Azure Databricks environments.
  • Strong proficiency in SQL and Python, with hands-on experience using PySpark for distributed data processing.
  • Experience working with cloud-based data platforms, data lakes, and lakehouse environments, preferably on Microsoft Azure.
  • Experience implementing layered lakehouse data architectures (bronze, silver, gold) for enterprise analytics.
  • Familiarity with Spark-based big data processing frameworks.
  • Experience supporting data migration from legacy databases and ETL tools to Databricks-based platforms.
  • Experience integrating Databricks platforms with business intelligence and reporting tools such as Power BI.
  • Familiarity with data governance, metadata management, and data security best practices.
  • Experience with source control and CI/CD pipelines for data engineering and Databricks workflows.
  • Working knowledge of SDLC and Agile delivery methodologies.
  • Excellent organizational, communication, and collaboration skills.

Preferred:

  • Hands-on experience with Azure Databricks workflows, Delta tables, and Databricks job orchestration.
  • Experience with Azure Data Lake, Azure Data Factory, or similar Azure data services.
  • Experience supporting federal IT modernization or large-scale enterprise data transformation initiatives.
  • Familiarity with healthcare, insurance, or benefits administration data environments.
  • Experience implementing data governance or data catalog platforms.

Education:

Bachelor's degree in Computer Science, Engineering, Information Systems, or a related technical discipline. Equivalent education or professional experience will be considered in lieu of a degree.

Clearance:
Must be a U.S. citizen and be able to obtain a Public Trust clearance.

If you are looking for a fun and challenging environment with talented, motivated people to work with, CTEC is the right place for you. In addition to employee salary, we offer an array of employee benefits including:

  • Paid vacation & Sick leave

  • Health insurance coverage

  • Career training

  • Performance bonus programs

  • 401K contribution & Employer Match

  • 11 Federal Holidays