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Cybersecurity Data Engineer Jobs in Concord, NC (NOW HIRING)

Tandym Tech

Azure Data Engineer

Charlotte, NC · On-site

$111K - $134K/yr

Minimum of 3 years of relevant experience in cybersecurity, data engineering, log management, security operations, or a related technology discipline * Hands-on experience onboarding, managing, and ...

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All JobsCybersecurity Data Engineer JobsCybersecurity Data Engineer Jobs in Concord, NC

Cybersecurity Data Engineer information

See Concord, NC salary details

$41.4K

$120.8K

$165.3K

How much do cybersecurity data engineer jobs pay per year?

As of Sep 5, 2026, the average yearly pay for cybersecurity data engineer in Concord, NC is $120,815.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,600.00 and $128,100.00 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?

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 Concord, NC?

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

What job categories do people searching Cybersecurity Data Engineer jobs in Concord, NC look for?

The top searched job categories for Cybersecurity Data Engineer jobs in Concord, NC are:

What cities near Concord, NC are hiring for Cybersecurity Data Engineer jobs?

Cities near Concord, NC with the most Cybersecurity Data Engineer job openings:

Cybersecurity Data Engineer jobs near you

Cribl Data Engineer, Cybersecurity and SIEM

TSG Risk Management

Charlotte, NC • On-site

$110 - $170/hr

Other

Posted 9 days ago

Job description

Cribl Data Engineer, Cybersecurity and SIEM

Location:Charlotte, NC preferred. Candidates in New York City, Los Angeles, Southern California, or other locations may also be considered.

Work Model:Flexible hybrid or remote

Position Overview

We are seeking an experienced Cribl Data Engineer to support the design, development, and optimization of cybersecurity data pipelines across SIEM and data lake environments.

The ideal candidate will bring hands‑on Cribl engineering experience combined with a strong understanding of cybersecurity data. This individual will help manage the flow of security data from source systems through Cribl and into data lakes and SIEM platforms. Experience with Databricks, Snowflake, connector development, and other data ingestion technologies is highly valued.

This is a hands‑on engineering role within a small, growing team. The successful candidate must be able to work independently, take an idea and run with it, solve open‑ended technical problems, and clearly communicate their decisions and recommendations to technical teams and leadership.

Key Responsibilities
  • Design, build, maintain, and optimize cybersecurity data pipelines using Cribl.
  • Manage security data flows from source systems through Cribl into data lakes and SIEM platforms.
  • Develop and maintain connectors and integrations for security data ingestion.
  • Configure data routing, parsing, filtering, enrichment, and transformation.
  • Support SIEM architecture, engineering, and ongoing platform operations.
  • Integrate security data with platforms such as Databricks and Snowflake.
  • Troubleshoot complex data ingestion, integration, performance, and pipeline issues.
  • Develop scripts and automation to support data processing and pipeline management.
  • Ensure the accuracy, security, integrity, and availability of cybersecurity data.
  • Partner with cybersecurity, engineering, and data teams to understand requirements and recommend appropriate solutions.
  • Evaluate multiple technical approaches and independently determine the best way to solve a problem.
  • Clearly explain technical decisions, designs, and troubleshooting findings during team meetings and leadership discussions.
  • Create and maintain technical documentation for data pipelines, integrations, and platform configurations.
  • Share knowledge and help establish scalable engineering practices within the team.
Required Qualifications
  • Approximately 4 to 5 years of relevant data engineering, security engineering, or SIEM engineering experience.
  • Hands‑on experience implementing, configuring, or supporting Cribl in a production environment.
  • Strong understanding of cybersecurity data and common security data sources.
  • Experience building and maintaining data pipelines for SIEM or security analytics environments.
  • Strong knowledge of data routing, parsing, filtering, enrichment, and transformation.
  • Experience ingesting data into data lakes or other large‑scale data platforms.
  • Experience developing connectors, integrations, or APIs between source systems and downstream platforms.
  • Proficiency with Python, Bash, or a similar scripting language.
  • Experience with cloud platforms such as AWS, Azure, or Google Cloud.
  • Understanding of networking, security operations, and security engineering best practices.
  • Strong troubleshooting and analytical skills.
  • Ability to work independently without needing step‑by‑step direction.
  • Strong written and verbal communication skills.
  • Ability to participate confidently in meetings and explain technical work to both technical and nontechnical stakeholders.
Preferred Qualifications
  • Experience with Databricks and/or Snowflake.
  • Experience with SIEM platforms and SIEM architecture.
  • Experience with Cribl Stream, Cribl Edge, or other Cribl products.
  • Familiarity with OCSF or other cybersecurity data schemas.
  • Understanding of frameworks and data models such as NIST, MITRE ATT&CK, or the CIM Object Model.
  • Experience working with endpoint, cloud, application, infrastructure, or network security data.
  • Knowledge of Windows, macOS, Linux, and Unix operating systems.
  • Relevant Cribl, cloud, security, or data engineering certifications.
  • Experience supporting security operations or SOAR environments.
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