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Data Masking Jobs in Reston, VA (NOW HIRING)

ECS

Senior Databricks Platform Engineer

Quantico, VA · On-site

$140K - $165K/yr

Implement and maintain security controls including IAM policies, cluster security configurations, KMS-based encryption, and data masking to protect sensitive data. * Monitor and tune Databricks ...

VMD Corp

PII and FOIA Analyst

Alexandria, VA · On-site

Track and process FOIA requests within statutory timelines, applying appropriate redactions, data masking, audit logging, and safeguards for PII and sensitive information. * Develop and maintain ...

J5 Consulting

Test Engineer

Mclean, VA · On-site

  • Medical

  • Retirement

  • PTO

Demonstrated experience with test data management in cloud environments (synthetic data, masking, seeding, or ephemeral environments). * Demonstrated AWS certification (Cloud Practitioner, Developer ...

J5 Consulting

Test Engineer

Mclean, VA · On-site

  • Medical

  • Retirement

  • PTO

Demonstrated experience with test data management in cloud environments (synthetic data, masking, seeding, or ephemeral environments). * Demonstrated AWS certification (Cloud Practitioner, Developer ...

CMT Services Inc.

Databricks Engineer

Adelphi, MD · On-site

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. AI ...

CMT Services Inc

Databricks Engineer

Adelphi, MD · On-site

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. AI ...

CMT Services, Inc.

Databricks Engineer

Adelphi, MD · On-site

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. AI ...

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All JobsData Masking JobsData Masking Jobs in Reston, VA

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 Reston, VA?

For Data Masking jobs in Reston, VA, the most frequently searched job titles are:

What job categories do people searching Data Masking jobs in Reston, VA look for?

The top searched job categories for Data Masking jobs in Reston, VA are:

What cities near Reston, VA are hiring for Data Masking jobs?

Cities near Reston, VA with the most Data Masking job openings:

Data Masking jobs near you
Infographic showing various Data Masking job openings in Reston, VA as of August 2026, with employment types broken down into 33% Full Time, and 67% Contract. Highlights an 100% In-person job distribution.

Databricks Platform Engineer

Agility Technologies Inc

Reston, VA • Remote

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 3 days ago

New

Job description

Benefits:
  • 401(k) matching
  • Dental insurance
  • Health insurance
  • Paid time off
  • Parental leave
  • Vision insurance

Role Description:
 
The Databricks Platform Engineer will build, maintain, and optimize the enterprise data lakehouse infrastructure. The ideal candidate will have strong DevOps and data engineering skills, with expertise in automating Databricks platform operations, ensuring reliability, and enabling data teams to efficiently leverage the platform. You will be responsible for platform provisioning, monitoring, cost optimization, and providing technical support for Databricks 
workloads.
 
Key Responsibilities include 
 
  • Build and maintain Databricks workspace infrastructure across development, staging, and production environments 
  • Design, implement, and maintain Databricks platforms in cloud environments (Azure, AWS, or GCP), ensuring scalability, reliability, and cost-efficiency. Manage and optimize Databricks clusters, including autoscaling, resource allocation, monitoring, and troubleshooting.
  • Oversee the deployment and configuration of Databricks workspaces, including user management, access controls, and workspace policies. 
  • Collaborate with infrastructure and DevOps teams to implement CI/CD pipelines for deploying Databricks workflows and notebooks. Monitor and manage performance, logging, and system health of the Databricks platform. Implement robust data security and governance measures in compliance with organizational policies and standards. 
  • Work with cross-functional teams to troubleshoot and resolve platform-related issues. 
  • Automate repetitive tasks, such as provisioning, upgrades, and scaling, using Infrastructure-as-Code (IaC) tools like Terraform or CloudFormation. 
  • Enable data engineers and data scientists by providing support for integrating Databricks with various data sources and tools.
  • Stay up-to-date with the latest Databricks features, updates, and best practices to ensure the platform meets evolving business needs.
Minimum Skills:
 
  • 5+ years of experience in platform engineering, cloud infrastructure, or IT operations, with 2+ years of hands-on experience managing Databricks environments.
  • Strong knowledge of Databricks administration, including cluster setup, workspace management, and job orchestration.
  • Proficiency in Apache Spark for distributed data processing.
  • Hands-on experience with cloud platforms (Azure Government, AWS GovCloud, or GCP Public Sector).
  • Proficiency in scripting and automation with Python, Bash, or PowerShell.
  • Experience with Infrastructure-as-Code (IaC) tools like Terraform, CloudFormation, or ARM templates.
  • Solid understanding of cloud networking concepts, such as VPCs, subnets, security groups, and private endpoints.
  • Familiarity with federal compliance frameworks, including FedRAMP, FISMA, NIST 800-53, and CMMC.
  • Experience implementing data security best practices, such as RBAC, encryption (at rest and in transit), and audit logging.
  • Ability to set up and use monitoring and logging tools (e.g., Datadog, AWS CloudWatch, or Azure Monitor) to ensure platform stability.
  • Proficiency in diagnosing and resolving cluster performance, job failures, and other technical issues.
 Preferred Skills
  • Databricks Certified Associate or Platform Administrator certification
  • Knowledge of Unity Catalog administration and data governance implementation
  • Experience with cost optimization strategies for Databricks, including efficient resource allocation, autoscaling, and workload management.
  • Advanced knowledge of performance tuning for Databricks clusters and Spark jobs.
  • Implementation of fine-grained access controls and data masking to comply with federal data protection standards.
  • Experience implementing single sign-on (SSO), multi-factor authentication (MFA), and data retention policies for secure environments.
  • Hands-on experience building automation scripts for platform provisioning, monitoring, and maintenance.
  • Familiarity with automation frameworks and tools that integrate with cloud platforms (e.g., AWS Lambda, Azure Logic Apps, Google Cloud Functions).
  • Knowledge of ETL/ELT pipelines and experience integrating Databricks with data warehousing solutions like Redshift, Snowflake, or BigQuery.
  • Familiarity with real-time data streaming technologies, such as Kafka, AWS Kinesis, or Azure Event Hubs
  • Federal cloud certifications such as AWS Certified Solutions Architect – Associate/Professional, Azure Administrator Associate, or Google Cloud Associate Cloud Engineer.
  • Public Trust (or higher) clearance eligibility; prior federal client experience.
 

This is a remote position.