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Cybersecurity Data Engineer Jobs in Massachusetts

Recorded Future combats cyber security threats by delivering actionable intelligence from our various Digital Risk Protection data streams. We are looking for a Principal Data Engineer to drive ...

Principal Data Engineer

Boston, MA · On-site

$152K - $228K/yr

Recorded Future combats cyber security threats by delivering actionable intelligence from our various Digital Risk Protection data streams. We are looking for a Principal Data Engineer to drive ...

Senior Associate, Data Engineer

Boston, MA · On-site

$115K - $156K/yr

... data engineer to join our Boston data engineering team where the impact will be immediate and ... Cyber Security team • Ensure full compliance with all local data protection regulations and ...

Systems Engineer

Lexington, MA · On-site

$99K - $225K/yr

The role spans enterprise architecture, DevSecOps, cybersecurity, data engineering, and integration across U.S. and Foreign Military Sales (FMS) mission planning environments. What You'll Work On:

Senior Cyber Security Engineer Cooley is seeking a Senior Cyber Security Engineer to join the ... Configure, maintain and administer firewalls, VPN, privileged access management (PAM), data loss ...

The role spans enterprise architecture, DevSecOps, cybersecurity, data engineering, and integration across U.S. and Foreign Military Sales (FMS) mission planning environments. What You'll Work On:

Showing results 21-40

Cybersecurity Data Engineer information

What does a Cybersecurity Data Engineer do?

A Cybersecurity Data Engineer is responsible for designing, building, and maintaining systems that collect, process, and analyze security-related data. Their main goal is to help organizations detect and respond to cyber threats by ensuring that data pipelines and storage solutions are secure and efficient. They often work with large datasets, security tools, and machine learning algorithms to identify vulnerabilities and unusual activity. Additionally, they collaborate with other IT and security professionals to implement best practices and enhance overall cybersecurity posture.

What are the key skills and qualifications needed to thrive as a Cybersecurity Data Engineer?

To thrive as a Cybersecurity Data Engineer, you need strong skills in data engineering, cybersecurity best practices, and programming languages such as Python or SQL, typically supported by a degree in computer science or a related field. Familiarity with security information and event management (SIEM) systems, big data tools like Hadoop or Spark, and certifications such as CISSP or CEH are highly valuable. Analytical thinking, problem-solving abilities, and effective communication set standout professionals apart in this role. These skills are crucial for designing secure data pipelines, detecting threats, and ensuring organizational data integrity.

How does a Cybersecurity Data Engineer typically collaborate with security analysts and IT teams?

Cybersecurity Data Engineers work closely with security analysts and IT teams to design, implement, and maintain data pipelines that support threat detection and incident response. They collaborate by integrating various data sources, ensuring data quality, and providing timely access to relevant information for analysis. Frequent communication and regular meetings are common to align on project requirements, prioritize tasks, and troubleshoot issues together. This collaborative approach ensures that security teams have the accurate, actionable data they need to protect organizational assets effectively.

What is the difference between Cybersecurity Data Engineer vs Cybersecurity Analyst?

AspectCybersecurity Data EngineerCybersecurity Analyst
Required CertificationsCompTIA Security+, CISSP, CEHCompTIA Security+, CISSP, CEH
Work EnvironmentData-focused, engineering teams, IT departmentsSecurity operations centers, incident response teams
Employer & Industry UsageTech companies, finance, healthcareGovernment agencies, corporations, cybersecurity firms
Common Search & ComparisonYesYes

While both roles require cybersecurity certifications and work within security-focused environments, Cybersecurity Data Engineers primarily develop and manage data infrastructure for security analytics, whereas Cybersecurity Analysts focus on monitoring, threat detection, and incident response. Understanding these differences helps organizations assign the right skills to their security teams.

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

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

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

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

What cities in Massachusetts are hiring for Cybersecurity Data Engineer jobs?

Cities in Massachusetts with the most Cybersecurity Data Engineer job openings:

Infographic showing various Cybersecurity Data Engineer job openings in Massachusetts as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 80% Full Time, 14% Part Time, and 4% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution.

Principal Data Engineer

Boston, MA

Recorded Future
Network Security • 501 - 1,000 employees

$152K - $228K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Re-posted 17 days ago


Job description

Recorded Future combats cyber security threats by delivering actionable intelligence from our various Digital Risk Protection data streams. We are looking for a Principal Data Engineer to drive improvements in the Digital Risk Protection department. 

What You'll Do:
  • Identify, scope, and own technical solutions necessary to achieve data convergence across Digital Risk Protection systems and data streams
  • Mentor direct reports to bring out the best in all members of the team
  • Work with the Malicious Sites, Identity, and Surface Web teams to align, analyze, and ingest digital risk data streams into Digital Risk Protection systems and the Intelligence Graph
  • Develop, productize, monitor, and maintain DRP-focused data pipelines to analyze and ingest data at scale
  • Build tools and APIs to facilitate access to data and analytics developed from Digital Risk Protection systems and the Intelligence Graph
  • Analyze and explain patterns in digital risk data to drive business-critical decisions
  • Create technical project plans and drive the successful execution of DRP initiatives, with input from our Product team and other developers on your team
What You'll Bring:
  • 5+ years of Python programming
  • 3+ years of experience with 
    • Message buses (e.g. Kafka, RabbitMQ), MongoDB, graph databases like AWS Neptune/Neo4j, cloud computing tools, and ElasticSearch 
    • Preferred experience with orchestration tools such as Argo CD, Kubernetes, Prefect
    • AI approaches and productizing flagship LLM output
    • Developing REST APIs with Python frameworks (e.g. Flask, Django, FastAPI)
    • Architecting and delivering production-grade applications and ETL/ELT pipelines
    • Applying statistical techniques to draw accurate, impactful conclusions
  • Leadership experience
    • Ability to present information to stakeholders with varying levels of technical expertise
    • Experience engaging with technical leaders across geographies and divisions/companies
    • Excellent written & verbal communication when collaborating with colleagues across various locations and timezones, designing technical approaches, and writing documentation 
    • Eagerness to continue learning and teaching new skills to team members, in order to raise the bar across the team
  • Proven success in architecting, leading, and delivering high-impact projects 
  • Efficient & accurate problem solving skills, including the ability to debug both software and data 
  • Excellent attention to detail & ability to work independently while delivering high-quality results
  • Bachelor's/Master's degree in Computer Science, Mathematics, Statistics, Engineering, or equivalent experience

The base salary range for this full-time position is $152,000- $228,500. Our salary ranges are determined by role, level, and location. The salary displayed reflects the range for new hire salaries for the position across all US locations. Within the range, individual pay is determined by state, work location and additional factors, including job-related skills, experience, and relevant education or training. This position may be eligible for incentive compensation, equity, and medical, dental, vision, life insurance and 401K. Your recruiter can share more about the specific details of the compensation and benefit package during the hiring process.