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Data Masking Jobs in Georgia (NOW HIRING)

Senior DevOps Engineer

Atlanta, GA · On-site

$120 - $165/hr

Enforce data masking and PII anonymization for non-production environments * Validate data integrity and consistency post-refresh Observability, Reliability & Operations * Define and enforce ...

Senior Snowflake Platform Administrator

Atlanta, GA · On-site

$47.75 - $65.75/hr

Governance & data protection - implement and maintain network policies, tag-based masking, row-/column-level access policies, tokenization, and encryption; leverage Snowflake Horizon for governance ...

Senior Cloud Developer

Atlanta, GA · On-site

$54 - $74/hr

... data masking techniques. - Troubleshoot and resolve database-related issues, and provide guidance on best practices for database management. - Design and manage cloud storage solutions (e.g., AWS S3 ...

Sr Engineers, Software

Atlanta, GA · On-site

$117K - $155K/yr

Develop and implement Test Data Management (TDM) strategies with tools such as TOSCA, Informatica TDM, and Delphix, including data masking, subsetting, synthetic data generation, and automated ...

Data Architect

Atlanta, GA · On-site

$61.25 - $78.75/hr

... masking, and tokenization; partner with Information Security on cloud posture, controls, governance, and compliance. • Lead Data Vault 2.0 implementation (Hubs, Links, Satellites); translate ...

Data Governance & Security • Apply data classification and tagging based on DECAL's data governance framework. • Implement row-level security, data masking, and audit logging as per compliance ...

Data Privacy Analyst Job Type: Contractor Location: Remote Job Overview We are seeking experienced ... Conduct spot-checks of transformed datasets to verify proper redaction, masking, or anonymization ...

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 cities in Georgia are hiring for Data Masking jobs?

Cities in Georgia with the most Data Masking job openings:

Infographic showing various Data Masking job openings in Georgia as of August 2026, with employment types broken down into 55% Full Time, 36% Contract, and 9% Nights. Highlights an 90% In-person, 5% Hybrid, and 5% Remote job distribution.

Senior DevOps Engineer

Ascensus

Atlanta, GA • On-site

$120 - $165/hr

Other

Medical, Dental, Vision, Retirement

Re-posted 8 hours ago


Ascensus rating

8.2

Company rating: 8.2 out of 10

Based on 39 frontline employees who took The Breakroom Quiz

47th of 154 rated financial services


Job description

Ascensus is the leading independent technology and service platform powering savings plans across America, providing products and expertise that help nearly 16 million people save for a better today and tomorrow.

Section 1: Position Summary

We are seeking a Senior DevOps Engineer with 10+ years of hands-on experience designing, building, and operating enterprise-grade CI/CD platforms across hybrid environments (AWS and on-premises). This role will lead platform standardization, progressive delivery, reliability engineering, and security-by-design to enable high-quality, low-risk software delivery at scale.

Key Responsibilities

CI/CD Platform & Environment Strategy

  • Design, implement, and operate a standardized CI/CD framework supporting Dev, QA, PartnerLab, Staging, and Production
  • Define promotion workflows with enforced quality gates and artifact immutability
  • Establish PartnerLab as a dedicated integration and validation environment with no direct path to Production
  • Ensure environment parity across AWS and on-prem systems

Progressive Delivery & Release Engineering

  • Implement feature flags, canary deployments, blue-green deployments, and phased rollouts
  • Enable automated rollback based on health checks, error rates, and SLO breaches
  • Maintain full release traceability from commit through production

Test Automation & Quality Engineering

  • Integrate unit, integration, regression, security, and performance testing into CI/CD pipelines
  • Enforce automated quality gates before environment promotion
  • Support manual validation workflows with controlled access, observability, and test artifacts

Database & Data Automation

  • Automate database schema versioning, migrations, rollbacks, and validation
  • Build lower-environment refresh pipelines sourced from production data
  • Enforce data masking and PII anonymization for non-production environments
  • Validate data integrity and consistency post-refresh

Observability, Reliability & Operations

  • Define and enforce observability standards across logs, metrics, and traces
  • Implement service health dashboards, alerts, and incident signals
  • Integrate deployment health into automated release decisions
  • Support on-call readiness, incident response, and post-incident reviews

Security, Governance & Compliance

  • Embed security scanning, secrets management, and access controls into pipelines
  • Enforce least-privilege IAM, credential rotation, and artifact integrity checks
  • Align CI/CD workflows with enterprise change management and audit requirements
Required Technical Skills

Cloud & Infrastructure

  • AWS (mandatory): ECS, EKS, Lambda, RDS, IAM, CloudFormation, CloudWatch
  • Hybrid infrastructure experience across on-prem VMs, bare metal, and internal networks
  • Terraform for modular, reusable, policy-compliant infrastructure

CI/CD & Platform Engineering

  • GitHub Enterprise & GitHub Actions (reusable workflows, templates, runners, environments)
  • CI/CD orchestration across hybrid AWS and on-prem topologies
  • Artifact versioning, promotion, and immutability strategies

Containers & Orchestration

  • Docker image design, optimization, and security hardening
  • Kubernetes (EKS and on-prem) deployment patterns, scaling, and lifecycle management
  • Helm for deployment standardization

Testing, Release Safety & Analysis

  • Automated testing frameworks (unit, integration, regression, performance)
  • Static and dynamic analysis tools (code quality, security, dependency scanning)
  • Feature flag platforms or equivalent internal capabilities

Database & Data Management

  • Oracle and Microsoft SQL Server (mandatory)
  • Schema migration tooling with automated rollback
  • Data masking, anonymization, and controlled refresh automation

Observability & Reliability Engineering

  • Metrics, logging, and tracing with Prometheus, Grafana, Splunk, New Relic, CloudWatch, OpenTelemetry, ELK
  • SLO-driven alerting and deployment health evaluation (e.g., Uptrends, PagerDuty)
  • Automated failure containment and rollback strategies

Security & Secrets Management

  • HashiCorp Vault, AWS Secrets Manager, or equivalent
  • Secure pipeline design with controlled credential access
  • Compliance-ready logging, approvals, and traceability
Soft Skills & Delivery Expectations
  • Experience in regulated or financial services environments
  • Strong documentation, runbooks, and architectural communication
  • Proven collaboration with application, infrastructure, security, and QA teams
  • Comfortable operating in enterprise, onshore delivery models

We are proud to be an Equal Opportunity Employer

The national average salary range for this role is 120-165k in base pay, exclusive of any bonuses and benefits.This base salary range represents the low and high end of the salary range for this position. Actual salary offered will vary and may be above or below the range based on various factors including but not limited to location, experience, performance, and internal pay alignment. We do not anticipate that candidates hired will begin at the top of the range however, from time to time, it may occur on a case-by-case basis. Other rewards and benefits may include: 401(k) match, Medical, Dental, Vision, Paid-Time-Off, etc. For more information, please visit careers.ascensus.com/#Benefits.

Be aware of employment fraud. All email communications from Ascensus or its hiring managers originate from @ascensus.com or @futureplan.com email addresses. We will never ask you for payment or require you to purchase any equipment. If you are suspicious or unsure about validity of a job posting, we strongly encourage you to apply directly through our website.

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