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Cybersecurity Data Engineer Jobs in Alabama (NOW HIRING)

Astrion

Cybersecurity Engineer SME

Huntsville, AL · On-site

... data across the directorate. You will play a hands-on role in Cybersecurity Analysis, Engineering, and Risk Management Framework (RMF) compliance, driving mission assurance for some of the nation ...

Astrion

Cybersecurity Engineer SME

Huntsville, AL

$185K - $225K/yr

... data across the directorate. You will play a hands-on role in Cybersecurity Analysis, Engineering, and Risk Management Framework (RMF) compliance, driving mission assurance for some of the nation ...

KBR

Cyber Security Engineer

Huntsville, AL

Title: Cyber Security Engineer Program Summary KBR's Missile, Aviation, and Ground Systems (MAGS ... systems, networks, and data through the coordination, planning, analysis, development ...

KBR, Inc.

Cyber Security Engineer

Huntsville, AL · On-site

... and data through the coordination, planning, analysis, development, implementation, and enhancement of Cybersecurity programs, policies, procedures, and tools. • Serves as the front-line team ...

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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, 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.
What are popular job titles related to Cybersecurity Data Engineer jobs in Alabama? For Cybersecurity Data Engineer jobs in Alabama, the most frequently searched job titles are:
What job categories do people searching Cybersecurity Data Engineer jobs in Alabama look for? The top searched job categories for Cybersecurity Data Engineer jobs in Alabama are:
What cities in Alabama are hiring for Cybersecurity Data Engineer jobs? Cities in Alabama with the most Cybersecurity Data Engineer job openings:
Cybersecurity Data Engineer jobs near you
Sr. Data Engineer/ Scientist

Sr. Data Engineer/ Scientist

Scientific Research Corporation

Huntsville, AL • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 20 days ago

Job description

Description
Scientific Research Corporation (SRC) is seeking a Senior Data Scientist / Engineer with a strong background in data infrastructure and large-scale data environments to support U.S. Space Command mission data initiatives.
This role supports the definition, architecture, and engineering of a large-scale on-premises data environment designed to ingest, store, process, and distribute space domain data across multiple classification levels.
The selected candidate will work closely with requirements engineers, system architects, and government stakeholders to define technical solutions for a mission-scale data platform supporting 30+ petabytes of data and scaling to 200-500 racks of compute, storage, and network infrastructure.
This is not a traditional data science role. The position sits at the intersection of:
  • Data engineering
  • Data architecture
  • Infrastructure engineering
  • Systems engineering

and will play a key role in shaping the technical direction, requirements development, and acquisition strategy for mission data systems.
This role focuses on designing and supporting a large-scale data environment that will process and manage significant volumes of space domain data. The system is expected to scale to tens of petabytes of data and hundreds of infrastructure racks, supporting advanced analytics and mission operations.
The ideal candidate has experience working with large data environments, distributed systems, or high-performance computing platforms, and understands how data platforms are designed from both a software and infrastructure perspective.
This position offers the opportunity to support critical national security missions while working on complex, large-scale data and infrastructure challenges.
#LI-LH1
Requirements
  • Bachelor's degree in computer science, data science, engineering, or related quantitative field, and a current Top Secret/Sensitive Compartmented Information (TS/SCI) security clearance
  • Minimum 7 years of progressive experience across both data engineering and data science disciplines, including expert proficiency in Python and Structured Query Language (SQL); demonstrated success designing Extract, Transform, Load/Extract, Load, Transform (ETL/ELT) pipelines; developing and deploying machine learning models; and working with big data technologies such as Apache Spark, Apache Airflow, or Apache Hadoop
  • Demonstrated knowledge of enterprise data architecture and storage hardware (e.g. Storage Area Networks (SAN), Network Attached Storage (NAS), and object storage), data center design principles, data governance practices, and understanding of space data characteristics, including experience with the National Space Intelligence Center (NSIC) Data Catalog
  • Develop architecture for large-scale data platforms supporting petabyte-scale storage and analytics workloads
  • Define infrastructure requirements including:
  • Support planning for scalable environments ranging from 200-500 racks
  • Design distributed data environments including:
  • Translate mission needs into technical system requirements and design artifacts
  • Support capacity planning, including threshold vs objective growth models
  • Assist with OTA, RFP, and acquisition planning activities
  • Evaluate vendor solutions and participate in technical reviews
  • Collaborate across cybersecurity, network, infrastructure, and mission teams
  • Support development of architecture documentation and engineering packages

Desired Skills
  • Master's degree or Doctor of Philosophy (PhD) in computer science, engineering, data science, or related field
  • Experience designing or supporting large-scale data environments (petabyte-scale)
  • Strong understanding of data center infrastructure and architecture
  • Experience with distributed data systems and high-performance computing (HPC) environments
  • Knowledge of data storage architectures (object storage, distributed systems)
  • Experience with data ingestion and large-scale analytics pipelines
  • Familiarity with DoD or Intelligence Community environments
  • Understanding of multi-classification or cross-domain architectures
  • Experience supporting technical requirements development and acquisition processes
  • Knowledge of data center and telecommunications standards (TIA-942, UFC guidance)

Clearance Information
SRC IS A CONTRACTOR FOR THE U.S. GOVERNMENT, THIS POSITION WILL REQUIRE U.S. CITIZENSHIP AS WELL AS, A U.S. GOVERNMENT SECURITY CLEARANCE AT THE TOP SECRET LEVEL WITH TOP SECRET / SCI ELIGIBILITY
Travel Requirements
  • Occasional travel may be required to support:
    • Government site visits
    • Engineering working groups
    • Technical design and review sessions
  • Travel is expected to be limited and mission-dependent

About Us
Scientific Research Corporation is an advanced information technology and engineering company that provides innovative products and services to government and private industry, as well as independent institutions. At the core of our capabilities is a seasoned team of highly skilled engineers and scientists with multidisciplinary backgrounds. This team is challenged daily to provide cutting edge technology solutions to our clients.
SRC offers a generous benefit package, including medical, dental, and vision plans, 401(k) with a company match, life insurance, vacation and sick paid time off accruals with amounts increasing based on role and years of service, 11 paid holidays, tuition reimbursement, and a work environment that encourages excellence and more. For positions requiring a security clearance, selected applicants will be subject to a government security investigation and must meet eligibility requirements for access to classified information.
EEO
Scientific Research Corporation is an equal opportunity employer that does not discriminate in employment.
All qualified applicants will receive consideration for employment without regard to their race, color, religion, sex, age, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other protected characteristic under federal, state or local law.
Scientific Research Corporation endeavors to make www.scires.com accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact jobs@scires.com for assistance. This contact information is for accommodation requests only and cannot be used to inquire about the status of applications.

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