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Cybersecurity Data Engineer Jobs (NOW HIRING)

eTeam

Azure Data Engineer

Jersey City, NJ · Hybrid

$119K - $143K/yr

... effort in the Cybersecurity Data Lakehouse (CyberDW). This individual will function as a ... Engineering teams. They will be responsible for timely follow-ups and routine updates to the ...

D2 Consulting

Cyber Data Engineer

Springfield, VA · On-site

They are seeking a Cyber Data Engineer to build and manage data pipelines and systems that support cybersecurity investigations, ensuring compliance with federal standards. Responsibilities : • ...

M9 Solutions

Data Engineer

Bethesda, MD · On-site

$60K - $180K/yr

Our capabilities include IT Talent Solutions, Data Delivery & Analytics, Cyber Security, Cloud ... M9 Solutions is seeking a Data Engineer to support a government contract for a client in Bethesda ...

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Cybersecurity Data Engineer information

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$44.5K

$129.7K

$177.5K

How much do cybersecurity data engineer jobs pay per year?

As of Jun 4, 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 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.

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 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 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.

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 May 2026, with employment types broken down into 95% Full Time, and 5% Part Time. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.
Azure Data Engineer

Azure Data Engineer

eTeam

Jersey City, NJ • Hybrid

$119K - $143K/yr

Other

This job post has expired today. Applications are no longer accepted.

Job description

Azure Data Engineer

Job Type: Contract

Duration: 6 Months

Location: Jersey City, NJ 07311

Hybrid role – 2 to 3 days onsite/week

Job Overview

The Insider Risk team in partnership with the Information Security Data Operations team are working on a project to centralize IR data and governance around its DSPM, DLP, and other data tied to the Insider Risk program.

To achieve success, this individual will be required to analyze and develop the ingestion pipeline of data sources required for this effort in the Cybersecurity Data Lakehouse (CyberDW).

This individual will function as a development resource in the Information Security Data Operations team and a technical liaison between the Data Owners, Insider Risk, and the Security Engineering teams.

They will be responsible for timely follow-ups and routine updates to the CyberDW sprint schedule as well as adherence to the internal IT SDLC agile processes.

Summary

Designs and builds data solutions using Microsoft Azure technologies.

Responsibilities

Develop data pipelines, implement data lakes, ensure data security and compliance.

Skills
  • Azure certifications
  • Experience with Synapse
  • Data Factory
  • Databricks.

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