1

Data Anonymization Jobs in Massachusetts (NOW HIRING)

Senior DevOps Engineer

Newton, MA · On-site

$142K - $183K/yr

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

Senior DevOps Engineer

Newton, MA · On-site

$142K - $183K/yr

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

Senior DevOps Engineer

Boston, MA · On-site

$141K - $181K/yr

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

Senior DevOps Engineer

Newton, MA · On-site

$142K - $183K/yr

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

Senior DevOps Engineer

Boston, MA · Hybrid

$141K - $181K/yr

Enforce data masking and PII anonymization for nonproduction environments * Validate data integrity and consistency postrefresh Observability, Reliability & Operations * Define and enforce ...

Senior DevOps Engineer

Newton, MA · Hybrid

$142K - $183K/yr

Enforce data masking and PII anonymization for nonproduction environments * Validate data integrity and consistency postrefresh Observability, Reliability & Operations * Define and enforce ...

Head of Hardware

Boston, MA · On-site

$120 - $150/hr

Familiarity with edge anonymization, data pipelines, and how capture hardware feeds a downstream data platform. What We Offer * Comprehensive health, dental, and vision coverage * 401(k) with ...

Advise FMI on matters related to informed consent, HIPAA authorization, research protocols, and secondary data use. * Advise FMI on de-identification, pseudonymization, and anonymization standards ...

Director, Privacy Counsel

Boston, MA · On-site

$210 - $263/hr

Advise FMI on matters related to informed consent, HIPAA authorization, research protocols, and secondary data use. * Advise FMI on de-identification, pseudonymization, and anonymization standards ...

Data Anonymization information

What is data anonymization?

Data anonymization is the process of transforming personal or sensitive data so that individuals cannot be identified, either directly or indirectly. This is typically achieved by removing or encrypting identifiers such as names, addresses, or social security numbers, and sometimes by aggregating data. The goal is to protect privacy while still allowing the data to be used for analysis or research. Data anonymization is crucial in complying with privacy regulations like GDPR and HIPAA. Properly anonymized data helps organizations minimize risk while making valuable data available for insights and decision-making.

What are the key skills and qualifications needed to thrive in data anonymization, and why are they important?

To thrive in Data Anonymization, you need expertise in data privacy principles, knowledge of statistical methods, and a background in computer science, information security, or related fields. Familiarity with tools like ARX, sdcMicro, and programming languages such as Python or R, as well as understanding of regulations like GDPR, is typically required. Strong analytical thinking, attention to detail, and effective communication skills set professionals apart in this field. These competencies are crucial for ensuring sensitive information is protected while maintaining data utility for analysis and compliance.

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

Professionals in data anonymization often encounter challenges such as balancing data utility with privacy, ensuring compliance with evolving data protection regulations, and addressing the risk of re-identification. The work typically involves collaborating closely with data engineers, analysts, and legal teams to determine the appropriate anonymization techniques for various datasets. Staying updated on new privacy tools and methodologies is crucial, as is adapting processes to fit the unique needs of each project or organization.

What is the difference between Data Anonymization vs Data Masking?

AspectData AnonymizationData Masking
PurposeTo permanently remove or alter identifiable information to protect privacyTo temporarily hide sensitive data for testing or training
MethodData is irreversibly transformedData is reversibly masked or obscured
Use CasesData sharing, privacy compliance, anonymized analyticsTesting, development, user training
Impact on DataData becomes non-identifiable and unusable for original purposesData remains usable but obscured

While both Data Anonymization and Data Masking aim to protect sensitive information, Data Anonymization permanently alters data to prevent re-identification, making it suitable for privacy compliance and sharing. Data Masking temporarily obscures data for testing or training, allowing data usability while protecting sensitive details.

What are popular job titles related to Data Anonymization jobs in Massachusetts?

For Data Anonymization jobs in Massachusetts, the most frequently searched job titles are:

What job categories do people searching Data Anonymization jobs in Massachusetts look for?

The top searched job categories for Data Anonymization jobs in Massachusetts are:

What cities in Massachusetts are hiring for Data Anonymization jobs?

Cities in Massachusetts with the most Data Anonymization job openings:

Infographic showing various Data Anonymization job openings in Massachusetts as of June 2026, with employment types broken down into 1% Internship, 5% As Needed, 71% Part Time, 3% Temporary, 18% Contract, and 2% Nights. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution.

Senior DevOps Engineer

Ascensus

Newton, MA • On-site

$142K - $183K/yr

Other

Medical, Dental, Vision, Retirement

Re-posted 11 days ago


Ascensus rating

8.2

Company rating: 8.2 out of 10

Based on 39 frontline employees who took The Breakroom Quiz

44th of 150 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.

What Ascensus employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom