SITEC - Data Engineer - Camp H.M. Smith, HI

Peraton; Hawaii; On-site; USD 120,000 - 160,000; Full time

Job summary

Peraton in Hawaii is seeking a Data Engineer to support SITEC3 Enterprise Operations at Camp H.M. Smith. You will engineer, deploy, and maintain data ingestion pipelines, edge processing solutions, and tagging schemas to enable advanced threat hunting and compliance reporting.

Responsibilities include building data onboarding pipelines, configuring edge processors, CIM mappings, and secure transport. The role requires DoD experience, TS/SCI clearance, and DoD 8570 IAT II certification.

Qualifications

• Minimum experience: 12 years with HS, 10 with AS/AA, 8 with BS/BA, or 6 with MS/MA.
• DoD 8570 IAT II Certification required.
• DoD TS/SCI clearance required.

Responsibilities

• Engineer, configure, and maintain robust data onboarding pipelines to ingest structured and unstructured telemetry into the enterprise deployment, ensuring data quality.
• Implement and optimize Universal Forwarders, Heavy Forwarders, and Edge Processors to manage data routing, filtering, and masking at the enterprise edge.
• Design and implement standardized data tagging and CIM mappings to ensure downstream security tool readiness.
• Develop custom technology add-ons to parse, clean, and enrich non-standard mission data sources prior to ingestion.
• Troubleshoot and resolve complex data parsing and time-stamping issues to guarantee fast search performance.
• Collaborate with enterprise architects and network engineers to establish secure, encrypted transport pathways (Syslog/HEC).
• Design data reduction strategies to optimize licensing costs while retaining critical logs per DoD compliance.
• Maintain comprehensive technical documentation including data flow diagrams and data taxonomy schemas.

Skills

IAT II Certification

TS/SCI Clearance

Python

PowerShell

Data Ingestion

Edge Processing

Splunk

Kafka

NiFi

Syslog-ng

Rsyslog

Education

HS Degree

AS/AA Degree

BS/BA

MS/MA

Tools

Kafka

NiFi

Syslog-ng

Rsyslog

Splunk

Job description

Required Qualifications:

• Min 12 years with HS degree, 10 years with AS/AA degree, 8 years with BS/BA, 6 years with MS/MA
• DoD 8570 IAT II Certification
• DoD TS/SCI clearance

Desired Qualifications:

• Must be with DoW 8140 compliant under the Work Role Code 451 – Systems Administrator - Intermediate level or higher by 1 Oct 26.
• Previous experience operating within Department of War (DoW) or DoD enterprise network environments.
• Deep understanding of the DoD Zero Trust Strategy, specifically focusing on the Data visibility, tagging, and analytics pillars.
• Experience with scripting languages (e.g., Python, PowerShell) to automate data classification tasks and tool API integrations.
• Hands-on experience with pipeline middleware and syslog aggregation tools, such as Apache Kafka, Apache NiFi, syslog-ng, or Rsyslog.
• Demonstrated experience configuring and scaling Splunk Edge Processors or Heavy Forwarders to filter, mask, and route high-volume telemetry at the enterprise edge.

Peraton requiresData Engineers to support the Special Operation Command Information Technology Enterprise Contract (SITEC) – 3. This position is located at Camp H.M. Smith, HI.

The purpose of the Special Operations Forces Information Technology Enterprise Contract (SITEC) 3 Enterprise Operations and Maintenance (EOM) Task Order (TO) is to provide USSOCOM, its Component Commands, its Theater Special Operations Commands (TSOCs), and its deployed forces with Operations and Maintenance (O&M) services to maintain Network Operations (NetOps); maintain systems and network infrastructure; provide end user and common device support; provide configuration, change, license, and asset management; conduct training, and perform Install, Move, Add, Change (IMACs) services. The responsibilities and tasks associated with each requirement play a pivotal role to USSOCOM, the CIO/J6 organization, andultimately theend-user whooperatearound the globe 24x7x365.

The Data Engineer will serve as a technical subject matter expert focused on the visibility and analytics capabilities supporting the enterprise architecture. This role is responsible for engineering, deploying, and maintaining comprehensive data ingestion pipelines into the enterprise environment. The engineer will design and implement robust data onboarding processes, engineer edge processing solutions for data filtering and transformation, and establish standardized data tagging schemas. By leveraging enterprise logging and telemetry platforms, the engineer will ensure high-fidelity data lineage, optimal storage tiering, and compliant telemetry integration to support advanced threat hunting and compliance reporting.

• Engineer, configure, and maintain robust data onboarding pipelines to ingest structured and unstructured telemetry into the enterprise deployment.
• Implement and optimize Universal Forwarders, Heavy Forwarders, and Edge Processors to manage data routing, filtering, and masking at the enterprise edge.
• Design and implement standardized data tagging and field extraction schemas, mapping incoming data sources to the Common Information Model (CIM) to ensure downstream security tool readiness.
• Develop custom technology add-ons (TAs) to parse, clean, and enrich non-standard mission data sources prior to ingestion.
• Troubleshoot and resolve complex data parsing, event breaking, and time-stamping issues to guarantee search performance and minimize ingest-to-search latency.
• Collaborate with enterprise architects and network engineers to establish secure, encrypted, and highly available transport pathways (e.g., Syslog, or HEC).
• Design and implement data reduction strategies and edge-filtering policies to optimize licensing costs while retaining critical logs in accordance with DoD compliance mandates.
• Maintain comprehensive technical documentation, including data flow diagrams, ingestion matrices, and data taxonomy schemas for all onboarded sources.
• Develop data routing solutions across platforms like TAK, TRAX, Compass, CDS, MSS, cloud providers utilizing data schemas like PLI, FMV, CoT.