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

Peraton

Northern (KY)

Hybrid

USD 110,000 - 165,000

Full time

5 days ago
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Job summary

Peraton is hiring a Data Engineer to support SITEC-3 Enterprise Operations and Maintenance at Camp H.M. Smith, HI. The role focuses on building and maintaining comprehensive data ingestion pipelines, edge processing solutions, and standardized tagging schemas to enable advanced threat hunting and compliance reporting.

You will implement and optimize data routing, ensure secure transport paths, and collaborate with architects to deliver high-fidelity telemetry while controlling licensing costs.

Qualifications

  • 12+ years with HS degree / 10+ with AS/AA / 8+ with BS/BA / 6+ with MS/MA
  • DoW 8140 compliant under the Work Role Code 451 by 1 Oct 26
  • Secret Clearance with ability to obtain TS/SCI Clearance
  • Experience operating within DoD enterprise network environments
  • Knowledge of DoD Zero Trust Strategy and data analytics pillars
  • Experience with data onboarding, tagging schemas, and CIM mappings
  • Ability to engineer edge processing for data filtering and transformation
  • Ability to design encrypted, highly available transport paths (Syslog/HEC)
  • Experience with data reduction strategies to manage licensing costs

Responsibilities

  • Engineer data onboarding pipelines to ingest telemetry into the enterprise deployment
  • Implement and optimize Universal/Heavy Forwarders and Edge Processors for edge data management
  • Design standardized data tagging and CIM mappings for security tool readiness
  • Develop custom add-ons to parse and enrich non-standard mission data
  • Troubleshoot data parsing, event breaking, and time-stamping issues
  • Collaborate with enterprise architects to ensure secure, encrypted transport
  • Create data routing solutions across platforms (TAK, TRAX, Compass, CDS, MSS)
  • Maintain technical documentation: data flows, ingestion matrices, taxonomy schemas

Skills

DoD 8140 compliance
Data engineering
Scripting (Python, PowerShell)
Edge processing
Data tagging and CIM
Syslog/telemetry

Education

HS + years
AS/AA degree
BS/BA degree
MS/MA degree

Tools

Apache Kafka
Apache NiFi
syslog-ng
Rsyslog
Splunk Edge Processors/Heavy Forwarders

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
  • DoW 8140 compliant under the Work Role Code 451 - Systems Administrator - Intermediate level or higher by 1 Oct 26
  • Secret Clearance with ability to obtain TS/SCI Clearance
Desired Qualifications:
  • 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 islocatedatCamp 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.
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