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Cybersecurity Data Engineer Jobs (NOW HIRING)

Cedent

Senior Data Engineer (Boston, MA)

Boston, MA · On-site

$124K - $149K/yr

Integrate diverse cybersecurity data sources using variety of API mechanisms and to standardize and ... Data Pipeline Engineering Optimization: Design, develop, and optimize large-scale ETL/ELT pipelines ...

CEDENT

Senior Data Engineer (Boston, MA)

Boston, MA

$124K - $149K/yr

Integrate diverse cybersecurity data sources using variety of API mechanisms and to standardize and ... Data Pipeline Engineering Optimization: Design, develop, and optimize large-scale ETL/ELT pipelines ...

CEDENT

Senior Data Engineer

Boston, MA · On-site

$115K - $156K/yr

Integrate diverse cybersecurity data sources using variety of API mechanisms and to standardize and ... Data Pipeline Engineering Optimization: Design, develop, and optimize large-scale ETL/ELT pipelines ...

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Cybersecurity Data Engineer information

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$129.7K

$177.5K

How much do cybersecurity data engineer jobs pay per year?

As of Jul 16, 2026, the average yearly pay for cybersecurity data engineer in the United States is $129,716.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,500.00 and $137,500.00 per year, depending on experience, location, and employer.

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, and why are they important?

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.

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.

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.
More about Cybersecurity Data Engineer jobs
What cities are hiring for Cybersecurity Data Engineer jobs? Cities with the most Cybersecurity Data Engineer job openings:
What states have the most Cybersecurity Data Engineer jobs? States with the most job openings for Cybersecurity Data Engineer jobs include:
What job categories do people searching Cybersecurity Data Engineer jobs look for? The top searched job categories for Cybersecurity Data Engineer jobs are:
Cybersecurity Data Engineer jobs near you
Infographic showing various Cybersecurity Data Engineer job openings in the United States as of July 2026, with employment types broken down into 92% Full Time, 5% Part Time, and 3% Contract. Highlights an 79% Physical, 5% Hybrid, and 16% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.
Cybersecurity Data Engineer

Cybersecurity Data Engineer

Shield Consulting Solutions

Linthicum, MD • On-site

$220K - $230K/yr

Full-time

Medical, Retirement, PTO

Posted 16 days ago

Job description

**Active TS/SCI w/Polygraph REQUIRED** Please do not apply if you do not currently possess this level of clearance. 
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Telework: None
Basic Requirements:
  • Bachelor's degree or higher from an accredited college or university in a quantitative discipline (e.g., statistics, mathematics, operations research, engineering or computer science).
  • 10 years of experience analyzing datasets and developing analytics
  • 10 years of experience programming with data analysis software such as R, Python, SAS, or MATLAB.

Job Description:
  • As part of the Secure the Enterprise initiative, develop capabilities to shift from the current manual system security evaluation and authorization process to a new model that emphasizes automation, streamlined processes and approvals, continuous monitoring and assessment, and network data gathering across the entire life cycle of a project.

Essential Duties and Responsibilities:
  • Leverage Python as a primary language to process data to accurately determine if resources and systems are secure
  • Look for outliers to help track the progress of systems through the Risk Management Framework lifecycle.
  • Identify which System a Resource belongs to determine by various attributes of the identified lost Resource against known potential System information.
  • Design, develop, and maintain ETL pipelines to extract security and compliance data from multiple sources (network sensors, security tools, compliance databases), transform the data for analysis and reporting, and load it into target data repositories to support continuous monitoring and automated assessments.
  • Support data engineering operations including data quality validation, pipeline monitoring, and optimization of data workflows to ensure reliable, scalable, and timely delivery of security-related data for Risk Management Framework automation and decision-making.

Required Experience:
  • Background in statistical analysis
  • Experience with building, tuning, and testing predictive models
  • Experience creating analytic charts and dashboards

Desired Experience:
  • Elasticsearch
  • RegEx
  • Machine learning
  • Natural Language Processing
  • Regression and predictive analysis
  • Python
  • MATLAB or R
  • SQL or Mongodb
  • Metric Database (Grafana/Graphite/InfluxDB)

Salary: $220,000 - $230,000 annually
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Excellent benefits package including 25 days PTO, 11 paid holidays, 100% employer-paid healthcare for employees and dependents – available day 1, 8% 401(k) employer match – immediate vesting.  
Disclaimer: The salary range provided is an estimate based on current market conditions and may be adjusted based on factors such as experience, skills, and qualifications. The final salary offer will be determined after a thorough review of the candidate's background and alignment with the role. Please note that this range is subject to change and should be considered as a guideline rather than a definitive figure.
Shield Consulting Solutions is an equal opportunity/affirmative action employer.  All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law.

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