Zero Trust Data Engineer - Sr. (4472) (TS/SCI) (Ft. Belvoir, VA)

About the Role

Key Responsibilities

• Develop and manage distributed parallel data processing pipelines, including establishing data connections, data parsing, data normalization, data mapping and modeling, data enrichment, and integration with data analytics supporting Zero Trust principles.
• Operate and maintain the data processing pipelines in accordance with platform availability requirements, handling all stages from data connections to integration with analytics platforms.
• Collaborate cross-functionally with software engineers, data scientists, intel analysts, and customers to ensure data processing pipelines meet military requirements.
• Communicate clearly and effectively with teammates, customers, and external partners.
• Prepare written and verbal communications on analyses, findings, and project progress.
• Update technical documentation such as system design documentation (SDD), standard operating procedures (SOPs), tactics, techniques, and procedures (TTPs), and training materials.
• Collaborate with functional area Data Stewards and other Zero Trust Pillars to explore data flow mapping tools.
• Identify automated data tagging/labeling solutions and assist with market research to evaluate their capabilities, scalability, and organizational fit.
• Coordinate with Data Governance CME and Automation Pillar Lead to test integration of data and attribute-based access into Policy Decision Points (PDP) and Policy Enforcement Points (PEP).

Requirements

• Active Top Secret (TS) security clearance with eligibility for SCI and NATO read-on before starting work.
• Master's degree in Science, Technology, Engineering, or Mathematics (STEM) with 8 years' experience as a data engineer OR a bachelor's degree in STEM with 10 years' experience as a data engineer.
• 8+ years' experience in cybersecurity, systems engineering, or information technology with significant project delivery for large, complex organizations.
• 8 years' experience with distributed parallel streaming and batch data processing pipelines.
• 8 years' experience with Python, Java, or other programming languages.
• 8 years' experience applying agile methodologies to the data engineering part of a system development life cycle (SDLC).
• 8 years' experience with developing, operating, and maintaining data processing pipelines in a classified environment.
• 8 years' experience integrating with data SDKs / APIs and data analytics SDKs / APIs.
• 8 years' experience with data mapping, modeling, enriching, and correlating classified data.
• 8 years' experience with identifying and duplicating data sources and record types to meet military requirements.
• 8 years' experience with Git repositories and CI/CD pipelines, such as GitHub and GitLab.
• Meet all requirements to receive a privileged user (PU) account on a government information system prior to starting work, as per DoDD 8140.01.

Nice to Have

• Experience integrating with Army Intel information systems and record types.
• Certified Information Systems Security Professional (CISSP).
• Certified Information Security Manager (CISM).
• Certified Data Management Professional (CDMP).
• AWS Certified Security - Specialty or equivalent cloud certifications.

Qualifications

• Master's or bachelor's degree in STEM disciplines.
• Active Top Secret (TS) security clearance with SCI eligibility.

Benefits & Perks

• Competitive salary ranging from $133,100 to $221,800 USD.
• Health insurance.
• Paid leave.
• Retirement benefits.
• Learning and development opportunities.