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Privacy Engineer Jobs in Virginia (NOW HIRING)

Data Privacy Engineer

Mclean, VA ยท On-site

$117K - $141K/yr

Hands-on Data Privacy / Data Catalog Engineer to support enterprise data discovery and governance with Informatica Cloud Data Governance & Catalog (CDGC) as the primary platform. The role focuses on ...

Privacy & Disclosure-Risk Analyst

Mclean, VA ยท On-site

$83K - $99K/yr

Collaborate with machine learning engineers, data scientists, cybersecurity teams, and other technical stakeholders to identify and address privacy risks * Conduct follow-up testing to validate ...

Privacy & Disclosure-Risk Analyst

Mclean, VA ยท On-site

$83K - $99K/yr

Collaborate with machine learning engineers, data scientists, cybersecurity teams, and other technical stakeholders to identify and address privacy risks * Conduct follow-up testing to validate ...

Privacy & Disclosure-Risk Analyst

Mclean, VA ยท On-site

$85K - $101K/yr

Collaborate with machine learning engineers, data scientists, cybersecurity teams, and other technical stakeholders to identify and address privacy risks * Conduct follow-up testing to validate ...

Privacy & Disclosure-Risk Analyst

Mclean, VA ยท On-site

$83K - $99K/yr

Collaborate with machine learning engineers, data scientists, cybersecurity teams, and other technical stakeholders to identify and address privacy risks * Conduct follow-up testing to validate ...

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Privacy Engineer information

See Virginia salary details

$18

$66

$119

How much do privacy engineer jobs pay per hour?

As of Sep 12, 2026, the average hourly pay for privacy engineer in Virginia is $66.35, according to ZipRecruiter salary data. Most workers in this role earn between $46.76 and $77.15 per hour, depending on experience, location, and employer.

What does a privacy engineer do?

A Privacy Engineer designs, implements, and maintains systems that protect user data and ensure compliance with privacy regulations. They work closely with legal, security, and engineering teams to embed privacy controls into products and services. Their responsibilities include data protection assessments, privacy-preserving technologies, and automating compliance processes.

What skills and qualifications are needed to be a privacy engineer?

A Privacy Engineer typically needs a solid foundation in computer science, data security principles, and privacy regulations such as GDPR and CCPA, often supported by a relevant degree or certification. Familiarity with tools such as data loss prevention (DLP) systems, encryption protocols, and privacy impact assessment (PIA) frameworks is highly valued, as well as certifications like CIPP or CIPT. Strong communication, analytical thinking, and cross-functional collaboration are essential soft skills that help Privacy Engineers navigate complex requirements and work effectively with legal, IT, and product teams. These competencies are crucial for ensuring that privacy is embedded into systems and processes, mitigating risks, and maintaining compliance in a rapidly evolving digital landscape.

What are the most commonly searched types of Privacy Engineer jobs in Virginia?

The most popular types of Privacy Engineer jobs in Virginia are:

What job categories do people searching Privacy Engineer jobs in Virginia look for?

The top searched job categories for Privacy Engineer jobs in Virginia are:

Infographic showing various Privacy Engineer job openings in Virginia as of August 2026, with employment types broken down into 91% Full Time, 5% Part Time, and 4% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $138,018 per year, or $66.4 per hour.

Data Privacy Engineer

Mclean, VA โ€ข On-site

Stratacent
IT Servicesย โ€ขย 51 - 200 employees

$117K - $141K/yr

Other

Re-posted 11 days ago


Job description

Job Description:
Hands-on Data Privacy / Data Catalog Engineer to support enterprise data discovery and governance with Informatica Cloud Data Governance & Catalog (CDGC) as the primary platform. The role focuses on source onboarding, scan configuration, catalog operations, and troubleshooting access/connectivity issues across AWS and multiple database technologies. The ideal candidate has strong experience setting up and operating CDscanners/connectors, partnering with DBAs/security teams to enable least-privilege access, and ensuring reliable metadata and classification coverage. Exposure to BigID is a plus.
 
Key Responsibilities:
CDscanning & onboarding: Configure and operate CDmetadata/data scans, schedules, scope rules, and performance-safe scan settings; onboard new sources end-to-end.
Connection setup: Create and maintain secure connections (JDBC/ODBC/connectors), service accounts, and credential management for enterprise data platforms.
Access troubleshooting: Diagnose and resolve scan failures related to RBAC/privileges, expired credentials, TLS/certificates, drivers, firewall/ports, DNS, and network routes.
Catalog operations: Curate catalog assets (domains, tags, ownership/stewardship), support glossary alignment, improve metadata quality, and ensure consistent taxonomy/naming standards.
Sensitive data support: Assist with configuring and validating sensitive data identification/classification outcomes (PII/PHI/PCI) and reduce false positives/negatives in partnership with data owners.
AWS support: Work within AWS environments to enable scanning connectivity (VPC/security groups, private endpoints/PrivateLink patterns where applicable) and support components running on EKS (logs, configs, secrets, scaling) when needed.
Operational excellence: Provide scan coverage and health reporting, and support incident/problem management for catalog/scanning services.
 
Required Qualifications:
Experience in data governance/catalog operations, privacy tooling, data engineering, or production support for data platforms.
Strong hands-on experience with Informatica CD(connectors/scanners, metadata ingestion, scan operations, troubleshooting).
Experience integrating and troubleshooting connections to databases/platforms including DB2, Oracle, PostgreSQL, MongoDB, Snowflake.
Strong SQL skills and ability to validate schemas, permissions, and scan behavior.
Solid understanding of authentication/authorization concepts (least privilege, service accounts), secure credential handling, and basic network troubleshooting.
 
Preferred Qualifications:
Experience with BigID (discovery/classification, scan operations) in a supporting capacity.
AWS experience, including EKS operational familiarity (Kubernetes basics, logs, secrets/config management).
Working experience with Python scripting and regular expressions (regex) to automate onboarding/scan tasks and tune custom classification patterns.
 
Key Skills:
Informatica CD(primary), scanning/connectors, catalog curation, access troubleshooting, AWS/EKS, DB2/Oracle/PostgreSQL/MongoDB/Snowflake, SQL, Python/regex (preferred).