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Privacy Engineering Jobs in Washington, DC (NOW HIRING)

Amazon

Privacy Counsel, Privacy Legal

Arlington, VA · On-site

... engineers, and legal colleagues across Amazon's global operations. Your work ranges from advising product teams on privacy requirements for new feature launches to reviewing data processing ...

Amazon

Privacy Counsel, Privacy Legal

Arlington, VA · On-site

... engineers, and legal colleagues across Amazon's global operations. Your work ranges from advising product teams on privacy requirements for new feature launches to reviewing data processing ...

Amazon

Privacy Counsel, Privacy Legal

Arlington, VA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... engineers, and legal colleagues across Amazon's global operations. Your work ranges from advising product teams on privacy requirements for new feature launches to reviewing data processing ...

Tyger Solutions Corporation

Privacy Analyst

Washington, DC · On-site

$94K - $111K/yr

... systems engineering, and project management. TSC personnel hold respected certifications and ... Tyger is seeking a Privacy Analyst to support and manage federal privacy compliance activities for ...

MDW Associates

Privacy and Civil Liberties Analyst

Alexandria, VA · Hybrid

$88K - $105K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

The Privacy and Civil Liberties Analyst may perform a combination of some or all of the following ... Budget Programming and Justification * Budget Execution * Acquisition Management * Financial ...

ProSidian Consulting

Data Privacy Specialist

Alexandria, VA · Hybrid

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... Engineering | Environmental | Sustainability | Human Capital. We help forward-thinking clients ... We seek Data Privacy Specialist | Data Management & Business Intelligence - Data Governance ...

Playlist

Product & Privacy Paralegal

Washington, DC

$65K - $87K/yr

Partner with product, engineering, marketing, security, procurement, finance, and other teams to support legal workflows related to our products and services * Maintain privacy, product, regulatory ...

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All JobsPrivacy Engineering JobsPrivacy Engineering Jobs in Washington, DC

Privacy Engineering information

See Washington, DC salary details

$112.7K

$130.8K

$146.7K

How much do privacy engineering jobs pay per year?

As of Aug 18, 2026, the average yearly pay for privacy engineering in Washington, DC is $130,821.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,400.00 and $146,100.00 per year, depending on experience, location, and employer.

What is privacy engineering?

Privacy engineering is the discipline of designing and implementing systems, processes, and technologies that protect users' personal data and ensure compliance with privacy regulations. Privacy engineers work to embed privacy protections directly into products and services, often by using techniques like data minimization, anonymization, and encryption. They collaborate with legal and compliance teams to understand regulatory requirements and translate them into technical solutions. The goal is to proactively mitigate privacy risks and build trust with users by safeguarding their information.

What are the key skills and qualifications needed to thrive as a privacy engineer, and why are they important?

To thrive as a Privacy Engineer, you need a strong background in computer science, data security, and privacy regulations such as GDPR or CCPA, typically supported by a degree in a related field. Familiarity with privacy-enhancing technologies, encryption tools, and compliance management systems is essential, with certifications like CIPT or CISSP being advantageous. Strong analytical thinking, problem-solving abilities, and effective cross-functional communication skills help you translate privacy requirements into practical technical solutions. These competencies are crucial for designing systems that protect user data, ensure regulatory compliance, and maintain organizational trust.

What are some common challenges privacy engineers face when implementing privacy-preserving technologies within large organizations?

Privacy engineers often encounter challenges such as aligning technical solutions with evolving legal requirements (like GDPR or CCPA), integrating privacy-preserving features into legacy systems, and balancing user experience with robust data protection. Collaboration with cross-functional teams—including legal, security, and product management—is essential to ensure compliance without hindering innovation. Additionally, privacy engineers must stay updated on the latest tools and frameworks to effectively manage risks and implement scalable solutions.

What is the difference between Privacy Engineering vs Data Privacy Analyst?

AspectPrivacy EngineeringData Privacy Analyst
Required credentialsTypically requires degrees in computer science, cybersecurity, or related fields; certifications like CIPP, CIPM are commonOften requires degrees in law, compliance, or related fields; certifications like CIPP, CIPM are also common
Work environmentFocuses on designing and implementing privacy features within systems and productsFocuses on monitoring, auditing, and ensuring compliance with privacy policies
Employer and industry usageUsed in tech companies, software development, and organizations building privacy-centric productsUsed in legal, compliance departments, and organizations managing data privacy regulations

Privacy Engineering involves designing technical solutions to protect user data, while Data Privacy Analysts focus on policy compliance and data audits. Both roles are essential in maintaining data privacy but differ in their core responsibilities and skill sets.

How much does a privacy engineer make?

A privacy engineer's salary typically ranges from $90,000 to $150,000 annually, depending on experience, location, and company size. Senior roles or those with specialized skills in data protection and compliance can earn higher salaries, often exceeding $180,000.

What does a privacy engineering do?

A privacy engineer designs and implements systems to protect user data and ensure compliance with privacy laws. They work on data security, privacy by design, and often use tools like data mapping and risk assessments to minimize privacy risks within technology infrastructure.

What are popular job titles related to Privacy Engineering jobs in Washington, DC?

For Privacy Engineering jobs in Washington, DC, the most frequently searched job titles are:

What job categories do people searching Privacy Engineering jobs in Washington, DC look for?

The top searched job categories for Privacy Engineering jobs in Washington, DC are:

Privacy Engineering jobs near you
Infographic showing various Privacy Engineering job openings in Washington, DC as of August 2026, with employment types broken down into 89% Full Time, 6% Part Time, 4% Contract, and 1% Nights. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution, with an average salary of $130,821 per year, or $62.9 per hour.

Cyber Identity - FDE Engineering Manager

Deloitte

Rosslyn, VA

Full-time

Re-posted 27 days ago

Deloitte rating

8.2

Company rating: 8.2 out of 10

Based on 92 frontline employees who took The Breakroom Quiz

44th of 150 rated financial services

Job description

As an Engineering Manager in Deloitte Cyber's Digital Trust & Privacy practice, you will help clients solve complex identity, access, and data protection challenges through AI-enabled engineering solutions. This role sits at the intersection of client engagement and hands-on delivery, combining domain depth with the ability to architect, build, and deploy production-grade solutions. You will lead teams, shape technical solutions during pursuits, develop reusable accelerators, and drive high-quality outcomes for clients and teams alike. 

Recruiting for this role ends on 12/31/2026.

Work you'll do

As an Engineering Manager on the Digital Trust & Privacy team, you will be responsible for:

  • Translating client business needs and Digital Trust & Privacy requirements into AI-enabled technical solutions aligned to target architecture and delivery objectives
  • Leading the hands-on design, integration, deployment, and operation of production-grade solutions, including troubleshooting and resolving technical issues within scope
  • Shaping technical solutions during pursuits by leading demonstrations, proofs of concept, prototypes, effort estimation, and pricing inputs
  • Managing client delivery by overseeing scope, timelines, quality, customer satisfaction, and continuous improvement across engagements
  • Building team and client capability through reusable accelerators, documentation, knowledge transfer, and engineering best practices

A successful candidate would possess these skills:

  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills, meticulous attention to detail and quality of work product, ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Ability to build and sustain professional relationships, lead projects or workstreams and meet deadlines
  • Ability to mentor and provide clear guidance to others

The team

Deloitte's Cyber Digital Trust & Privacy practice helps organizations address identity, access, and data protection needs across Identity Governance and Administration, Web and Application Programming Interface Access Management, Privileged Access Management, Public Key Infrastructure, directories, privacy engineering, data access governance, and data discovery. The team is building AI-driven cyber services and engineering capabilities designed to help clients strengthen resilience, simplify complexity, and operate with greater confidence in a changing threat landscape.

Qualifications

Required:

  • Bachelor's degree in Computer Science, Engineering, Information Technology, Cybersecurity, or a related field; alternatively, equivalent demonstrated experience
  • 7+ experience in one or more Digital Trust & Privacy domains such as Identity Governance and Administration (IGA), Web Access Management (WAM), Privileged Access Management (PAM), Public Key Infrastructure (PKI), Directories, or Data Protection
  • 5+ experience translating client requirements into target-state solution architectures using Representational State Transfer application programming interfaces, microservices, event-driven architectures, or serverless components
  • 5+ experience building and deploying production-grade solutions using one or more of the following - Python, Java, or Node.js
  • 2+ experience delivering solutions on Amazon Web Services, Microsoft Azure, or Google Cloud Platform, including containers, continuous integration and continuous delivery pipelines, and version control tools
  • 6 months to a year of experience designing or deploying generative artificial intelligence or large language model solutions in a client or production environment
  • Ability to travel 25-50%, on average, based on the work you do and the clients and industries/sectors you serve.
  • Limited immigration sponsorship may be available.

Preferred:

     Front-end / full-stack breadth - JavaScript/TypeScript and a modern UI framework (React / Next.js) for building demo apps and lightweight delivery tooling leveraging agentic coding tools (e.g., Claude Code, Codex, Cursor etc.)

     Industry depth in a regulated vertical (financial services, healthcare, public sector) and exposure to associated compliance regimes (SOX, PCI DSS, FFIEC, HIPAA, GDPR).

     Edge / fraud and bot-mitigation experience (WAF, credential-stuffing and ATO countermeasures) adjacent to CIAM.

     Kubernetes, GitOps, and advanced cloud-native delivery patterns.

     Search/analytics or graph platforms relevant to identity analytics (Elasticsearch/OpenSearch, Neo4j).

     Familiarity with ML frameworks (PyTorch, TensorFlow) and model evaluation.

     Relevant certifications - CISSP, cloud (AWS/Azure/GCP), or platform-specific IAM certifications (SailPoint, Okta, CyberArk, Saviynt

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $155,600 to $306,800.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.


#CyberDTP27

Qualifications:

As an Engineering Manager in Deloitte Cyber's Digital Trust & Privacy practice, you will help clients solve complex identity, access, and data protection challenges through AI-enabled engineering solutions. This role sits at the intersection of client engagement and hands-on delivery, combining domain depth with the ability to architect, build, and deploy production-grade solutions. You will lead teams, shape technical solutions during pursuits, develop reusable accelerators, and drive high-quality outcomes for clients and teams alike. 

Recruiting for this role ends on 12/31/2026.

Work you'll do

As an Engineering Manager on the Digital Trust & Privacy team, you will be responsible for:

  • Translating client business needs and Digital Trust & Privacy requirements into AI-enabled technical solutions aligned to target architecture and delivery objectives
  • Leading the hands-on design, integration, deployment, and operation of production-grade solutions, including troubleshooting and resolving technical issues within scope
  • Shaping technical solutions during pursuits by leading demonstrations, proofs of concept, prototypes, effort estimation, and pricing inputs
  • Managing client delivery by overseeing scope, timelines, quality, customer satisfaction, and continuous improvement across engagements
  • Building team and client capability through reusable accelerators, documentation, knowledge transfer, and engineering best practices

A successful candidate would possess these skills:

  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills, meticulous attention to detail and quality of work product, ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Ability to build and sustain professional relationships, lead projects or workstreams and meet deadlines
  • Ability to mentor and provide clear guidance to others

The team

Deloitte's Cyber Digital Trust & Privacy practice helps organizations address identity, access, and data protection needs across Identity Governance and Administration, Web and Application Programming Interface Access Management, Privileged Access Management, Public Key Infrastructure, directories, privacy engineering, data access governance, and data discovery. The team is building AI-driven cyber services and engineering capabilities designed to help clients strengthen resilience, simplify complexity, and operate with greater confidence in a changing threat landscape.

Qualifications

Required:

  • Bachelor's degree in Computer Science, Engineering, Information Technology, Cybersecurity, or a related field; alternatively, equivalent demonstrated experience
  • 7+ experience in one or more Digital Trust & Privacy domains such as Identity Governance and Administration (IGA), Web Access Management (WAM), Privileged Access Management (PAM), Public Key Infrastructure (PKI), Directories, or Data Protection
  • 5+ experience translating client requirements into target-state solution architectures using Representational State Transfer application programming interfaces, microservices, event-driven architectures, or serverless components
  • 5+ experience building and deploying production-grade solutions using one or more of the following - Python, Java, or Node.js
  • 2+ experience delivering solutions on Amazon Web Services, Microsoft Azure, or Google Cloud Platform, including containers, continuous integration and continuous delivery pipelines, and version control tools
  • 6 months to a year of experience designing or deploying generative artificial intelligence or large language model solutions in a client or production environment
  • Ability to travel 25-50%, on average, based on the work you do and the clients and industries/sectors you serve.
  • Limited immigration sponsorship may be available.

Preferred:

     Front-end / full-stack breadth - JavaScript/TypeScript and a modern UI framework (React / Next.js) for building demo apps and lightweight delivery tooling leveraging agentic coding tools (e.g., Claude Code, Codex, Cursor etc.)

     Industry depth in a regulated vertical (financial services, healthcare, public sector) and exposure to associated compliance regimes (SOX, PCI DSS, FFIEC, HIPAA, GDPR).

     Edge / fraud and bot-mitigation experience (WAF, credential-stuffing and ATO countermeasures) adjacent to CIAM.

     Kubernetes, GitOps, and advanced cloud-native delivery patterns.

     Search/analytics or graph platforms relevant to identity analytics (Elasticsearch/OpenSearch, Neo4j).

     Familiarity with ML frameworks (PyTorch, TensorFlow) and model evaluation.

     Relevant certifications - CISSP, cloud (AWS/Azure/GCP), or platform-specific IAM certifications (SailPoint, Okta, CyberArk, Saviynt

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $155,600 to $306,800.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.


#CyberDTP27

Education:Bachelor's DegreeEmployment Type:

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