812127 Systems Engineer $245,000.00

About the role

Location: Herndon, VA. Core hours: 9 am–4 pm. Position requires a Top Secret (TS/SCI) clearance with a polygraph.

As a Data Engineer, you will design data models, build data warehouses and data lakes, automate data pipelines, and work with datasets of all sizes. You will optimize data flow, reduce redundancy, and ensure accessibility within security boundaries. You will apply extraction, transformation, and loading (ETL) techniques, create data collection frameworks for structured and unstructured data, and develop cyber and operational analytic tools for downstream products. You will also develop standards, tools, processes, and governance for capturing, modeling, storing, and delivering enterprise data.

Responsibilities

• Design and implement data models, data warehouses, and data lakes.
• Automate data pipelines and manage datasets of varying sizes.
• Optimize information flow by reducing redundancy and enhancing accessibility within security constraints.
• Apply extraction, transformation, and loading (ETL) techniques to integrate diverse data sources.
• Create frameworks for collecting structured and unstructured data.
• Develop cyber and operational analytic tools for consumers.
• Establish standards, tools, processes, and governance for enterprise data capture, modeling, storage, and delivery.

Requirements

• Top Secret (TS/SCI) clearance with a polygraph.
• Minimum 16 years of experience as a Systems Engineer/Data Engineer (subject‑matter expert level).
• Experience integrating diverse data streams into a data lake.
• Proficiency with ETL processes and structuring unstructured data at load time.
• Experience with data transfer tools such as NiFi, Cribl, etc.
• Ability to establish data standards and act as custodian of IT and service‑delivery data sets.
• Experience analyzing complex networks, systems, and log data from various components and operating systems.
• Knowledge of environments with shared networks and multiple security enclaves.
• Python and BASH scripting skills.
• Splunk CORE User certification (required prior to start) and Splunk CORE Power User certification (within 3 months of start).

Optional Requirements

• Security Development and Operations (SecDevOps) experience.
• Hands‑on Splunk experience and additional certifications.
• Scripting tools including Python, ShellScript, or Ansible.
• Cloud security controls and implementation experience.
• Public, private, and hybrid cloud experience (AWS, Microsoft Azure, etc.).
• AWS Certified Security Specialty.

Qualifications

• Bachelor’s or Master’s degree in Information Technology, Engineering, or a related field (preferred).
• Subject‑matter‑expert level (16+ years) in systems engineering with a data‑engineering focus.

Skills

• Data lake and data warehouse architecture.
• ETL design and implementation.
• Data transfer tools (NiFi, Cribl, etc.).
• Data standards and governance.
• Network and system log analysis.
• Python & BASH scripting.
• Splunk CORE User and Power User certifications.
• SecDevOps practices (optional).
• Cloud platforms (AWS, Azure) and security (optional).

Benefits

• Outstanding salaries (up to $245,000 per year).
• Full Vanguard 401(k) plan with 100 % employer match up to 6 % of salary.
• Phantom stock awarded annually (2‑year vesting).
• Medical insurance (United Health Care) – multiple plan options.
• Dental insurance (United Concordia) – Flex Plan.
• Vision insurance (Vision Service Plan).
• Short‑term disability (60 % of salary up to $2,000/week).
• Long‑term disability (60 % of salary up to $10,000/month).
• Life insurance coverage ($200,000).
• Employee referral bonus ($3