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Cybersecurity Data Engineer Jobs in North Carolina

Data Engineer (Onsite Hybrid)

Charlotte, NC · Hybrid

$111.80K - $134.30K/yr

Data Engineer (Onsite Hybrid) NTT DATA strives to hire exceptional, innovative and passionate ... Collaborate with cybersecurity, DevOps, QA, and application teams to ensure secure, scalable, and ...

NCDPI - Data Engineer - Senior

Raleigh, NC · On-site

$111.30K - $133.70K/yr

Demonstrate a strong understanding of cybersecurity principles related to code development, DevOps, data access, and fundamental cybersecurity. * Understanding of fundamental public-cloud ...

Senior Data Engineer - Vice President

Charlotte, NC · On-site

$103.50K - $140.60K/yr

... a Cybersecurity Data Lakehouse (CyberDW). The goal of the CyberDW is to centralize the ISDAD data ... This role will collaborate with the developers, data owners, governance leads and business analysts ...

Data Engineer (Onsite Hybrid)

Charlotte, NC · On-site

$112.60K - $135.30K/yr

Collaborate with cybersecurity, DevOps, QA, and application teams to ensure secure, scalable, and reliable data solutions. * Implement data governance, encryption, access control, and compliance best ...

Data Engineer (Onsite Hybrid)

Charlotte, NC · On-site +1

$112.60K - $135.30K/yr

Collaborate with cybersecurity, DevOps, QA, and application teams to ensure secure, scalable, and reliable data solutions. * Implement data governance, encryption, access control, and compliance best ...

Data Engineer (Onsite Hybrid)

Charlotte, NC · On-site +1

$111.80K - $134.30K/yr

Collaborate with cybersecurity, DevOps, QA, and application teams to ensure secure, scalable, and reliable data solutions. * Implement data governance, encryption, access control, and compliance best ...

Data Engineer - Senior

Raleigh, NC · On-site

$103K - $140K/yr

Demonstrate a strong understanding of cybersecurity principles related to code development, DevOps, data access, and fundamental cybersecurity. Understanding of fundamental public-cloud capabilities.

Junior Data Engineer

Durham, NC · On-site

$103.70K - $124.60K/yr

... Cyber Security (ECS) business unit. You will have the opportunity to contribute to ECS's Data ... engineering solutions such as Batch and Streaming Data Processing/Ingestion pipelines, Data ...

Data Engineer (Onsite Hybrid)

Charlotte, NC · On-site +1

$111.80K - $134.30K/yr

Collaborate with cybersecurity, DevOps, QA, and application teams to ensure secure, scalable, and reliable data solutions. * Implement data governance, encryption, access control, and compliance best ...

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Showing results 1-20

Cybersecurity Data Engineer information

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.

What job categories do people searching Cybersecurity Data Engineer jobs in North Carolina look for? The top searched job categories for Cybersecurity Data Engineer jobs in North Carolina are:
What cities in North Carolina are hiring for Cybersecurity Data Engineer jobs? Cities in North Carolina with the most Cybersecurity Data Engineer job openings:
Senior Azure Data Engineer - Cybersecurity Data Lakehouse #3578719

Senior Azure Data Engineer - Cybersecurity Data Lakehouse #3578719

Axiom Path

Charlotte, NC

$80 - $83/hr

Full-time

Posted 13 days ago


Job description

Be Part Of A High-Performing Team:

Join a globally recognized financial services organization operating at the forefront of enterprise technology and cybersecurity innovation. This team plays a critical role in safeguarding sensitive data by building advanced data platforms that support threat detection, data protection, and regulatory compliance. The environment is highly collaborative, bringing together enterprise architecture, security engineering, and data operations teams to deliver large-scale, mission-critical initiatives. Current efforts focus on centralizing cybersecurity data into a modern lakehouse architecture, enabling more intelligent and proactive security insights across the organization.

What's In Store For You:

  • Engagement: W2 only (no C2C/1099)
  • Opportunity to work on high-impact cybersecurity data initiatives within a large enterprise environment
  • Exposure to cutting-edge Azure data technologies and enterprise-scale data lakehouse architecture
  • Long-term project with potential for extension and continued growth

How You Will Make An Impact:

  • Design and build scalable data pipelines within Azure to support centralized cybersecurity data initiatives
  • Develop and optimize ingestion frameworks for multiple security data sources (e.g., Proofpoint data suite)
  • Contribute to the development of a Cybersecurity Data Lakehouse, enabling advanced analytics and data protection strategies
  • Collaborate cross-functionally with Enterprise Architecture, Security Engineering, and Data Owners
  • Ensure data integrity, security, and compliance across all pipelines and storage layers
  • Act as a technical liaison, driving communication and alignment across multiple teams
  • Support Agile delivery by contributing to sprint planning, updates, and adherence to SDLC processes

Are you a proven Azure Data Engineering expert in large-scale enterprise environments?

  • 10+ years of experience in data engineering, with strong focus on enterprise data platforms
  • Hands-on experience with Azure technologies including Synapse Analytics, Azure Data Factory, and Databricks
  • Proven experience building and optimizing large-scale data pipelines and lakehouse architectures
  • Strong understanding of data security, governance, and compliance in enterprise environments
  • Experience working with cybersecurity or security-related datasets is highly preferred
  • Strong SQL and data transformation expertise
  • Experience working in Agile environments and collaborating with cross-functional teams
  • Excellent communication skills with ability to act as a technical liaison across stakeholders
  • Azure certifications are strongly preferred