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Cybersecurity Data Engineer Jobs in Virginia (NOW HIRING)

Data Engineer

Reston, VA · On-site

$119K - $143K/yr

... cyber security and IT solutions. As a Virginia-based small business with over 150 years of ... Responsibilities As a Data Engineer , you will transform and deliver high-priority datasets to ...

Data Engineer

Reston, VA · On-site +1

$119K - $143K/yr

... cyber security and IT solutions. As a Virginia-based small business with over 150 years of ... Responsibilities As a Data Engineer , you will transform and deliver high-priority datasets to ...

Data Engineer

Reston, VA · On-site +1

$119K - $143K/yr

... cyber security and IT solutions. As a Virginia-based small business with over 150 years of ... As a Data Engineer , you will transform and deliver high-priority datasets to enable exploitation ...

Data Engineer

Chantilly, VA · On-site

$117K - $140K/yr

... Cybersecurity, IT, Data Analytics and Software Development. Elevate your career and make a ... The Data Engineer will leverage their development skills and experience to support the successful ...

Data Engineer

Norfolk, VA · Hybrid

$116K - $139K/yr

CSA is seeking a Data Engineer to enable secure, reliable, and scalable data solutions that ... Ensure compliance with government data governance and cybersecurity requirements. Requirements What ...

Data Engineer

Norfolk, VA · On-site

$116K - $139K/yr

CSA is seeking a Data Engineer to enable secure, reliable, and scalable data solutions that ... Ensure compliance with government data governance and cybersecurity requirements. Requirements:

Data Engineer

Arlington, VA · On-site

$116K - $243K/yr

The work As a Data Engineer in this role, you will play a pivotal part in advancing operational AI ... Ensure data pipelines are secure, scalable, and aligned with DevSecOps and cybersecurity best ...

Data Engineer

Arlington, VA · On-site

$86K - $176K/yr

The work As a Data Engineer in this role, you will play a pivotal part in advancing operational AI ... Ensure data pipelines are secure, scalable, and aligned with DevSecOps and cybersecurity best ...

Data Engineer

Norfolk, VA · On-site

$116K - $139K/yr

Collaborate with analysts, developers, and mission stakeholders to ensure data accuracy and ... Ensure compliance with government data governance and cybersecurity requirements. Requirements What ...

Data Engineer

Yorktown, VA · On-site

$101K - $121K/yr

Demonstrated experience in network and cyber security design, engineering and operations with emphasis on Navy capabilities * Navy experience * Experience with cloud data services (e.g., AWS, Azure ...

Cybersecurity Analyst (CDAP) Lead - Senior

Fairfax, VA · On-site

$99K - $128K/yr

Position Summary ECS is seeking a Cybersecurity Analyst (CDAP) Lead - Senior to support the Army ... Data Science, Information Systems, Information Technology, or Software Engineering * Experience ...

Data Engineer

Arlington, VA · On-site +1

$131K - $158K/yr

The Data Engineer will ensure accurate, reliable, and performant data flow across applications ... Implement data encryption, masking, and access controls in compliance with DoD cybersecurity ...

Data Engineer

Arlington, VA · Remote

$131K - $158K/yr

The Data Engineer will ensure accurate, reliable, and performant data flow across applications ... Implement data encryption, masking, and access controls in compliance with DoD cybersecurity ...

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Showing results 1-20

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 job categories do people searching Cybersecurity Data Engineer jobs in Virginia look for? The top searched job categories for Cybersecurity Data Engineer jobs in Virginia are:
What cities in Virginia are hiring for Cybersecurity Data Engineer jobs? Cities in Virginia with the most Cybersecurity Data Engineer job openings:

$119K - $143K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 6 days ago


Job description

Overview
About Level Up
Level Up, LLC, a wholly-owned subsidiary of AVIAN, represents a fusion of innovation, reliability, and top-tier cyber security and IT solutions. As a Virginia-based small business with over 150 years of collective experience, we pride ourselves on providing industry-leading expertise, big data analytics, and all-source research and analysis. Our technical capabilities directly bolster our customers' objectives, from mission centers to forward-deployed operations.
In 2021, we joined forces with AVIAN, an employee-owned business and one of America's fastest-growing private companies. With a shared commitment to resourcefulness, responsiveness, and reachability, we continue to uphold our trademark dependability and innovation, delivering exceptional services to our 80 government and commercial clients across 13 states.
Beyond our technical and consulting prowess, we at Level Up believe in creating a positive impact within our communities. Through our charitable giving and volunteer programs, we support causes close to our hearts and inspire meaningful change. This commitment to service and community enhancement is what we call "The Level Up Way".
Together, Level Up and AVIAN offer comprehensive solutions, blending technology and community engagement to create an exceptional partnership for our employees, customers, and community.
Responsibilities
As a Data Engineer, you will transform and deliver high-priority datasets to enable exploitation and analysis for the federal government's intelligence mission.
Using computer programming and other capabilities, Data Engineers develop processes to transform raw structured or unstructured data into useful, actionable information for critical mission systems. They design and build scalable data pipelines using commercial cloud, open source, and custom software solutions to process large datasets. Data Engineers create automated data validation methods to load data into systems accurately and consistently. Through partnerships with collectors, data scientists, and software engineers, Data Engineers design how data will be integrated and stored for optimal effectiveness.
Data Engineers are curious and use their skills to identify problems and build solutions, applying updated expertise in areas such as ETL, workflow and container orchestration, database and search technologies, distributed computing, serverless design, and cloud solutions.
Qualifications
Required Experience, Skills, & Technologies
  • Bachelor's degree or higher in one of the following fields or related studies:
    • Computer Science
    • Computer / Electrical Engineering or related field
    • Data Science or related quantitative science field
    • Information Science/Technology
    • Forensics (Digital Forensics, Forensic Science, and Technology)
    • Mathematics/Statistics
  • Proficiency with computer programming languages like Python, Java, Scala, or equivalent Object-Oriented Programming Language and knowledge of SQL
  • Knowledge of data ingestion, transformation, modeling, and storage:
  • Strong critical thinking and problem-solving skills
  • Ability to work independently and to collaborate within a diverse team environment
  • Curiosity, creativity, and initiative

Desired Experience, Skills & Technologies
  • Prior experience related to data engineering, data science, data architecture, database and search technologies
  • Experience analyzing or processing bulk datasets
  • Experience with signal/image processing, geospatial modeling or voice/data communications
  • Prior application of serverless design patterns, such as serverless applications or websites
  • Understanding of scaling and performance of distributed/cloud systems
  • Understanding of data science concepts, AI/ML, automation, and scripting

Clearance Required
  • Due to the sensitivity of customer-related requirements, U.S. Citizenship is required.
  • Must possess a Top Secret/SCI security clearance with a Full Scope polygraph.
  • This position has an on-site requirement and is not eligible for fully remote candidates.

At Level Up, LLC, we offer a comprehensive benefits package designed to support your health, financial security, and overall well-being. Our health and wellness benefits include medical, dental, and vision coverage, along with telemedicine services and a TRICARE supplement for veterans. Financially, we provide flexible spending accounts (FSA), a 401(k) plan with company contributions, and an employee stock ownership plan (ESOP). Additional perks like wellness reimbursements and referral bonuses are also available.
For insurance protection, we offer basic life insurance, accidental death and dismemberment (AD&D) coverage, disability benefits, and AFLAC supplemental insurance. In terms of life, work, and family, we provide flexible time off, paid sick leave, maternity and bonding leave, and military training leave. Tuition reimbursement and professional development opportunities are available to help you grow. We also offer pet insurance, identity protection, and life assistance programs. At Level Up, LLC, we prioritize a balanced, supportive environment that allows you to thrive both personally and professionally.
Level Up, LLC is a service-based organization. As an equal opportunity employer, our policy of business is to seek the most qualified candidate for each talent opportunity without regard to race, creed, color, sex, age, religious belief, marital status, national origin, ancestry, sexual preference, physical or mental handicap, lawful political affiliation or veteran's status.