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Data Masking Jobs in Washington, DC (NOW HIRING)

Data Engineer - Mid

Mclean, VA · On-site

$115K - $139K/yr

Apply security and compliance controls aligned to IRS cybersecurity policies, including RBAC/ABAC, data masking, encryption, and audit logging to protect sensitive data and maintain regulatory ...

Define and enforce best practices for data modeling, governance, and security (Row-Level Security, data masking, and access control). * Provide mentorship and architectural guidance to BI developers ...

Data Engineer

MD · On-site +1

$114K - $137K/yr

Design and implement data masking, tokenization, and anonymization for compliance with privacy regulations (e.g., GDPR, FERPA). Work with security teams to audit and certify compliance controls. 5. ...

Cribl Engineer

Washington, DC · On-site

$87 - $198/hr

Implement complex routing logic, data masking, enrichment, and replay workflows, utilizing custom JavaScript functions and Regex patterns directly within Cribl pipelines. * System Optimization:

Implement complex routing logic, data masking, enrichment, and replay workflows, utilizing custom JavaScript functions and Regular Expressions (Regex) patterns directly within Cribl pipelines.

Cribl Engineer

Reston, VA · On-site

$86K - $198K/yr

Implement complex routing logic, data masking, enrichment, and replay workflows, utilizing custom JavaScript functions and Regular Expressions ( Regex ) patterns directly within Cribl pipelines.

Implement complex routing logic, data masking, enrichment, and replay workflows, utilizing custom JavaScript functions and Regular Expressions ( Regex ) patterns directly within Cribl pipelines.

Implement complex routing logic, data masking, enrichment, and replay workflows, utilizing custom JavaScript functions and Regular Expressions (Regex) patterns directly within Cribl pipelines.

Implement complex routing logic, data masking, enrichment, and replay workflows, utilizing custom JavaScript functions and Regular Expressions (Regex) patterns directly within Cribl pipelines.

... data masking. Required Qualifications - Expertise in Power BI, data modeling, and DAX. - Strong analytical and troubleshooting skills. - Proficiency in SQL, including complex queries, joins, CTEs ...

Showing results 21-40

Data Masking information

What is data masking?

Data masking is a process used to protect sensitive information by replacing original data with fictional but realistic data. The goal is to ensure that confidential data, such as personal identification numbers or financial information, cannot be accessed by unauthorized users, especially in non-production environments like testing or development. Data masking maintains the format and structure of the original data so that applications can function correctly while ensuring privacy and compliance with regulations. This technique is commonly used in industries that handle large amounts of sensitive information, such as healthcare, finance, and government.

What are the key skills and qualifications needed to thrive as a data masking specialist, and why are they important?

To thrive as a Data Masking Specialist, you need a solid understanding of data security principles, database management, and regulatory compliance, typically supported by a degree in computer science or information security. Familiarity with data masking tools such as Informatica, IBM Optim, or Microsoft SQL Server Data Masking, as well as relevant certifications like CISSP or CISM, is often required. Strong analytical thinking, attention to detail, and effective communication are standout soft skills in this role. These competencies are crucial to ensure sensitive data is properly protected, minimizing security risks and meeting compliance requirements.

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

Professionals in data masking roles often encounter challenges such as ensuring that masked data remains useful for development or testing while maintaining strict compliance with privacy regulations. Balancing security with data utility can be complex, especially when working with legacy systems or large-scale databases. Collaboration with database administrators, developers, and compliance teams is essential to design effective masking strategies and troubleshoot issues as they arise. Staying updated on evolving data privacy laws and best practices is also crucial for long-term success in this field.

What is the difference between Data Masking vs Data Analyst?

AspectData MaskingData Analyst
Required CredentialsTypically no formal certifications, but knowledge of data security and privacy standardsBachelor's degree in data science, statistics, or related field; certifications like CAP or Microsoft Certified Data Analyst are common
Work EnvironmentIT/security teams, often within data security or compliance departmentsBusiness intelligence, analytics teams, or data departments across various industries
Employer & Industry UsageUsed in industries handling sensitive data like finance, healthcare, and retailUsed across industries for data-driven decision making, reporting, and insights

Data Masking focuses on protecting sensitive information by obfuscating data to ensure privacy and security. Data Analysts interpret and analyze data to generate insights. While Data Masking is a technical security process, Data Analysts work with the data post-masking to support business decisions.

What are popular job titles related to Data Masking jobs in Washington, DC?

For Data Masking jobs in Washington, DC, the most frequently searched job titles are:

Infographic showing various Data Masking job openings in Washington, DC as of August 2026, with employment types broken down into 54% Full Time, 37% Contract, and 9% Nights. Highlights an 87% In-person, 6% Hybrid, and 7% Remote job distribution.

Data Engineer - Mid

Guidehouse

Mclean, VA • On-site

$115K - $139K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 24 days ago


Guidehouse rating

8.0

Company rating: 8.0 out of 10

Based on 28 frontline employees who took The Breakroom Quiz

35th of 72 rated business consultants


Job description

Job Family:

Data Science & Analysis


Travel Required:

Up to 10%


Clearance Required:

Ability to Obtain Public Trust

What You Will Do:

  • Design, build, and optimize scalable, production-grade data ingestion, transformation, and analytics-ready pipelines using Databricks (Delta Lake, Delta Live Tables, Auto Loader) and AWS services, enabling trusted, timely data access across enterprise use cases.

  • Engineer standardized, repeatable data pipelines supporting batch and near real-time processing, integrating legacy data sources and modern cloud-native services to advance enterprise data availability and eliminate data access gaps.

  • Execute full delivery lifecycle by supporting intake, discovery, source profiling, and technical design, while maintaining requirements traceability and aligning solutions to Architecture Review Board (ARB) and governance expectations.

  • Implement and maintain governed data pipelines with embedded metadata, lineage, and data quality controls, ensuring pipelines meet defined technical, security, and documentation requirements before production deployment.

  • Develop and operationalize data engineering frameworks that incorporate observability, monitoring, alerting, and resilient error handling to maintain platform stability and support 99.9% availability targets.

  • Partner with platform engineering and cloud operations teams to integrate pipelines with AWS services (S3, Glue, Kafka/Kinesis, APIs), enabling secure, scalable data movement and cross-platform interoperability.

  • Enable governed analytics and self-service data consumption through curated datasets, semantic layers, and SQL warehouse integration, supporting enterprise reporting, dashboards, and advanced analytics use cases.

  • Apply security and compliance controls aligned to IRS cybersecurity policies, including RBAC/ABAC, data masking, encryption, and audit logging to protect sensitive data and maintain regulatory compliance.

What You Will Need:

  • Bachelor's degree is required

  • EIGHT (8) or more years of experience in data engineering within cloud-based environments,

  • FOUR (4) or more years of hands-on Databricks experience designing scalable data pipelines.

  • Experience in Python, PySpark, and SQL for large-scale data processing and pipeline development in lakehouse architectures.

  • Experience building and optimizing data pipelines leveraging Delta Lake, medallion architecture, and modern data ingestion frameworks (batch and streaming).

  • Experience with AWS data platforms and services (e.g., S3, IAM, VPC, Glue, streaming frameworks) and integration with enterprise data ecosystems.

  • Experience delivering production-ready data solutions incorporating metadata management, lineage, data quality, and observability frameworks.

What Would Be Nice to Have:

  • Familiarity with DevSecOps and CI/CD pipeline implementation, including automation, testing, and deployment within cloud data environments.

  • Knowledge of data governance, security, and compliance requirements within regulated environments, including FISMA and FedRAMP High

  • Experience supporting federal data platforms or large-scale enterprise data modernization efforts, particularly within IRS, Treasury, or similar regulated environments.

  • Hands-on experience with Databricks Unity Catalog, Delta Sharing, Genie, and Clean Rooms for governed data access and collaboration.

  • Experience implementing streaming and near real-time data pipelines using Kafka, Kinesis, EventBridge, or similar technologies.

  • Familiarity with Informatica EDC/Axon or enterprise metadata/catalog tooling.

  • Experience with performance optimization techniques (Photon, Z-ordering, liquid clustering) to improve large-scale data workloads.

  • Exposure to CI/CD automation using Terraform, GitHub Actions, and Databricks Asset Bundles for infrastructure and pipeline deployment.

  • Advanced cloud or Databricks certifications (AWS, Databricks) in good standing.


What We Offer:

Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace.

Benefits include:

  • Medical, Rx, Dental & Vision Insurance

  • Personal and Family Sick Time & Company Paid Holidays

  • Parental Leave

  • 401(k) Retirement Plan

  • Group Term Life and Travel Assistance

  • Voluntary Life and AD&D Insurance

  • Health Savings Account, Health Care & Dependent Care Flexible Spending Accounts

  • Transit and Parking Commuter Benefits

  • Short-Term & Long-Term Disability

  • Tuition Reimbursement, Personal Development, Certifications & Learning Opportunities

  • Employee Referral Program

  • Corporate Sponsored Events & Community Outreach

  • Care.com annual membership

  • Employee Assistance Program

  • Supplemental Benefits via Corestream (Critical Care, Hospital Indemnity, Accident Insurance, Legal Assistance and ID theft protection, etc.)

  • Position may be eligible for a discretionary variable incentive bonus

About Guidehouse

Guidehouse is an Equal Opportunity Employer-Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation.

Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco.

If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse Recruiting at 1-571-633-1711 or via email at RecruitingAccommodation@guidehouse.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation.

All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains including @guidehouse.com or guidehouse@myworkday.com. Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse. Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Never provide your banking information to a third party purporting to need that information to proceed in the hiring process.

If any person or organization demands money related to a job opportunity with Guidehouse, please report the matter to Guidehouse's Ethics Hotline. If you want to check the validity of correspondence you have received, please contact recruiting@guidehouse.com. Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicant's dealings with unauthorized third parties.

Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee.


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