Senior Principal Big Data Engineer

San Diego, CA, US • Posted 11 hours ago • Updated 11 hours ago
Full Time
On-site
USD $160,001.00 - 200,000.00 per year
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Job Details

Skills

  • Analytical Skill
  • Big Data
  • Real-time
  • Decision-making
  • Predictive Modelling
  • Drawing
  • Lifecycle Management
  • Procurement
  • Performance Tuning
  • High Availability
  • Disaster Recovery
  • Virtual Machines
  • Optimization
  • Hardening
  • Cyber Security
  • Performance Metrics
  • Network Engineering
  • Network
  • Inventory
  • Configuration Management Database
  • IT Asset Management
  • Physical Security
  • Provisioning
  • Configuration Management
  • Data Integrity
  • Business Continuity Planning
  • Stakeholder Management
  • Data Engineering
  • Mechanical Engineering
  • Electrical Engineering
  • Capacity Management
  • Roadmaps
  • Request For Proposal
  • Proposal Writing
  • Documentation
  • Standard Operating Procedure
  • Innovation
  • Research
  • ARM
  • Thought Leadership
  • IoT
  • Near Field Communication
  • RFID
  • Sensors
  • DevSecOps
  • Continuous Integration
  • Continuous Delivery
  • IT Management
  • Server Administration
  • Servers
  • Storage Management
  • Security Clearance
  • Science
  • PMP
  • ITIL
  • Security+
  • OCP
  • Oracle
  • Microsoft
  • Novell
  • Microsoft Certified Professional
  • VMware Certified Professional
  • VCP
  • Red Hat Linux
  • Red Hat Certified Engineer
  • CompTIA
  • Server+
  • Management
  • Change Data Capture
  • Database
  • GPU
  • Computer Cluster Management
  • Artificial Intelligence
  • Machine Learning (ML)
  • Training
  • Trading
  • HFT
  • Dell PowerEdge
  • ProLiant
  • Cisco UCS
  • Virtualization
  • VMware vSphere
  • VMware
  • Hyper-V
  • Kernel-based Virtual Machine
  • Docker
  • Kubernetes
  • Operating Systems
  • Microsoft Windows Server
  • Microsoft Operating Systems
  • Red Hat Enterprise Linux
  • CentOS
  • Ubuntu
  • IBM AIX
  • NetApp
  • EMC
  • Dell
  • Storage
  • IBM
  • Spectrum
  • SolarWinds
  • Nagios
  • Splunk
  • Dynatrace
  • Ansible
  • Terraform
  • Windows PowerShell
  • Bash
  • Microsoft Azure
  • Amazon Web Services
  • DoD
  • Cloud Computing
  • Backup
  • Recovery
  • Veeam
  • CommVault
  • NetBackup
  • Regulatory Compliance
  • STIG
  • FISMA
  • Risk Management Framework
  • RMF
  • NIST 800-53
  • Information Technology
  • Systems Engineering
  • FOCUS

Summary

Job ID: 2611890

Location: San Diego, CA, US

Date Posted: 2026-04-28

Category: Information Technology

Subcategory: Big Data Engineer

Schedule: Full-Time

Shift: Day Job

Travel: No

Minimum Clearance Required: Secret

Clearance Level Must Be Able to Obtain: None

Potential for Remote Work: ORA_HYBRID

Description

SAIC is seeking a visionary Senior Principal Big Data Engineer to support and expand our autonomous systems portfolio. This senior-level role requires a rare combination of strategic technology leadership, hands-on AI/ML delivery, enterprise-scale server infrastructure management. The successful candidate will contribute to the growth of the while driving path-breaking ML/AI solutions and ensure the highest levels of server infrastructure availability, performance, and security.

The ideal candidate brings proven IT leadership, a demonstrated history of delivering first-of-kind technology solutions, and the analytical mindset of a strategic visionary capable of operating at both the executive and technical levels across massive server environments.

This is a Hybrid/Remote role with expectations to be On-Site throughout the week in San Diego, CA. Must be local to area.

JOB DUTIES:

Autonomous Systems & AI/ML
  • Lead design and implementation of ML/AI solutions supporting autonomous systems programs
  • Drive Big Data analytics frameworks enabling real-time autonomous decision-making pipelines
  • Apply predictive modeling expertise - including high-frequency algorithmic model development - to autonomous system response and decision architectures
  • Develop and maintain autonomous systems data pipelines integrating server-side compute resources with edge autonomous platforms

Server Infrastructure Management & Support
  • Plan, deploy, and manage scalable server environments supporting autonomous systems compute workloads, drawing on proven experience
  • Oversee end-to-end server lifecycle management including procurement, provisioning, configuration, patching, performance tuning, and decommissioning
  • Implement and maintain high-availability (HA) and disaster recovery (DR) architectures for mission-critical autonomous systems server infrastructure
  • Manage physical and virtual server environments including bare-metal, VMware, Hyper-V, and containerized workloads supporting DoD program requirements
  • Drive server utilization optimization strategies leveraging allocation-to-utilization based models, achieving measurable efficiency improvements across server fleets
  • Administer and support Redhat, Linux (RHEL/CentOS/Ubuntu) environments in classified and unclassified network enclaves
  • Support server hardening and STIG compliance across all managed server assets in accordance with DoD cybersecurity requirements as required
  • Monitor server health, performance metrics, and capacity planning using enterprise monitoring tools (SolarWinds, Nagios, Splunk, or equivalent)
  • Manage storage area networks (SAN), NAS, and direct-attached storage (DAS) solutions supporting petabyte-scale data requirements
  • Support GPU server infrastructure for AI/ML training and inference workloads critical to autonomous systems development
  • Coordinate with network engineering teams to ensure optimal server-to-network integration across classified and unclassified environments
  • Maintain server asset inventory and configuration management databases (CMDB) in compliance with DoD IT asset management standards


Data Center & Infrastructure Operations
  • Manage Data Center operations supporting autonomous systems compute requirements including CUI (Controlled Unclassified Information) compliance and physical security
  • Implement Infrastructure as Code (IaC) practices using Ansible, Terraform, or equivalent tools for automated server provisioning and configuration management as required
  • Drive cloud-hybrid server strategies integrating on-premises server infrastructure with Microsoft Azure and other cloud platforms
  • Manage server backup and recovery solutions ensuring data integrity and business continuity for autonomous systems program data
  • Support data center relocation and consolidation initiatives leveraging experience with portable, deployable server infrastructure
  • Ensure compliance with FISMA, RMF (Risk Management Framework), and DoD 8570 requirements across all server infrastructure


Program & Stakeholder Management
  • Support a cross-functional teams across software, data engineering, server administration, mechanical, and electrical disciplines in a matrix organization environment
  • Prepare and deliver technical briefings on server infrastructure status, capacity planning, and modernization roadmaps to internal and external stakeholders including Federal and DoD entities
  • Support RFP development and proposal responses for autonomous systems and server infrastructure opportunities
  • Develop and maintain server infrastructure documentation including architecture diagrams, standard operating procedures (SOPs), and continuity of operations plans (COOP)


Innovation & Emerging Technology
  • Research, prototype, and deliver cutting-edge autonomous and AI-driven technologies leveraging next-generation server platforms
  • Evaluate and recommend emerging server technologies including ARM-based servers, composable infrastructure, and software-defined data center (SDDC) solutions
  • Provide technical thought leadership on server infrastructure and autonomous systems capability gaps informing strategic investment decisions
  • Leverage IoT, NFC, and RFID sensor integration experience to support autonomous platform server-side data ingestion and processing
  • Drive adoption of DevSecOps practices across server infrastructure supporting autonomous systems CI/CD pipelines


Qualifications

?REQUIRED QUALIFICATIONS

Requirement

Detail

Experience

14+ years in senior IT/technology leadership roles

Server Administration

10+ years managing large-scale enterprise server environments (1,000+ servers)

AI/ML

Hands-on ML/AI solution implementation in production server environments

DoD Experience

Prior NAVAIR or equivalent DoD program support

Cloud Platforms

Microsoft Azure, AWS, or equivalent hybrid cloud experience

Virtualization

VMware vSphere, Microsoft Hyper-V, or equivalent

OS Proficiency

Windows Server 2016/2019/2022, RHEL, CentOS, Ubuntu

Storage

SAN, NAS, and object storage management at petabyte scale

Program Scale

Demonstrated management of programs valued at $500M+

Clearance

Active Secret Clearance

Education

Bachelor of Science Degree or equivalent

REQUIRED CERTIFICATIONS
  • Certified Dataiku ML/AI Practitioner
  • Project Management Professional (PMP)
  • ITIL Foundation
  • Security+
  • OCP (Oracle Certified Professional)
  • MCSE (Microsoft Certified Solutions Expert)
  • CNE (Certified Novell Engineer)
  • MCP (Microsoft Certified Professional)


Preferred Additional Certifications
  • VMware Certified Professional (VCP)
  • Red Hat Certified Engineer (RHCE)
  • AWS Solutions Architect
  • Microsoft Azure Administrator (AZ-104)
  • CompTIA Server+
  • DoD 8570 IAT Level II or III


PREFERRED QUALIFICATIONS
  • Prior experience in technology organizations with direct server infrastructure oversight
  • Experience designing and deploying containerized server solutions for rapid deployment in austere or forward-operating environments
  • Familiarity with change data capture (CDC) methodologies across heterogeneous server and database environments
  • Experience with GPU cluster management for AI/ML training workloads
  • Background in high-frequency trading (HFT) infrastructure requiring ultra-low latency server configurations
  • Familiarity with DoD RMF accreditation processes for server systems


SERVER INFRASTRUCTURE TECHNICAL COMPETENCIES

Domain

Technologies

Server Platforms

Dell PowerEdge, HP ProLiant, IBM Power, Cisco UCS

Virtualization

VMware vSphere/vCenter, Microsoft Hyper-V, KVM

Containerization

Docker, Kubernetes, OpenShift

Operating Systems

Windows Server, RHEL, CentOS, Ubuntu, AIX

Storage

NetApp, EMC/Dell, Pure Storage, IBM Spectrum

Monitoring

SolarWinds, Nagios, Splunk, Dynatrace

Automation

Ansible, Terraform, PowerShell, Bash

Cloud Integration

Microsoft Azure, AWS GovCloud, DoD Cloud

Backup/Recovery

Veeam, Commvault, Veritas NetBackup

Security/Compliance

STIG, FISMA, RMF, CUI, NIST 800-53

Target salary range: $160,001 - $200,000. The estimate displayed represents the typical salary range for this position based on experience and other factors.


Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 10111346
  • Position Id: 2611890
  • Posted 11 hours ago

Company Info

About SAIC

SAIC® is a premier Fortune 500 mission integrator focused on advancing the power of technology and innovation to serve and protect our world. Our robust portfolio of offerings across the defense, space, civilian and intelligence markets include secure high-end solutions in mission IT, enterprise IT, engineering services and professional services. We integrate emerging technology, rapidly and securely, into mission critical operations that modernize and enable critical national imperatives.

We are approximately 24,000 strong; driven by mission, united by purpose, and inspired by opportunities. Headquartered in Reston, Virginia, SAIC has annual revenues of approximately $7.5 billion. For more information, visit saic.com. For ongoing news, please visit our newsroom.

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