Principal Data and Storage Integration Engineer

  • CHARLESTON, SC
  • Posted 6 hours ago | Updated 6 hours ago

Overview

On Site
Full Time

Skills

Embedded Systems
Security Clearance
System Integration
Enterprise Storage
Data Analysis
Data Storage
FAS
NFS
Server Message Block
SMB
iSCSI
FC
Provisioning
Virtual Machines
Scripting
Python
R
Jupyter
Pandas
NumPy
Data Science
Advanced Analytics
Operations Research
Data Mining
Algorithms
Analytics
Data Security
Backup
Disaster Recovery
Cloud Computing
Performance Tuning
Performance Metrics
QoS
Capacity Management
Forecasting
Application Support
Extract
Transform
Load
Collaboration
Network
Database
Virtualization
VMware
Xen
Kernel-based Virtual Machine
IQ
Operating Systems
Linux
Microsoft Windows Server
Microsoft Operating Systems
Enterprise Networks
Storage+
Amazon Web Services
Cloud Storage
Amazon S3
EBS
Storage
NCDA
NetApp
Soft Skills
Analytical Skill
Problem Solving
Conflict Resolution
Communication
Management
Information Technology
Systems Engineering
FOCUS

Job Details

Job ID: 2509767

Location: CHARLESTON, SC, US

Date Posted: 2025-09-15

Category: Information Technology

Subcategory: Embedded SW Engr

Schedule: Full-time

Shift: Day Job

Travel: No

Minimum Clearance Required: None

Clearance Level Must Be Able to Obtain: Secret

Potential for Remote Work: No

Description

SAIC is seeking a highly skilled and experienced Data & Storage Integration Engineer with a strong background in software integration, data science, and enterprise storage systems.

The ideal candidate will bring advanced expertise in scripting, data analytics, storage technologies, and enterprise systems to support complex integration, performance, and analytics objectives across a dynamic IT environment.

Responsibilities:

Storage Systems & Infrastructure:
  • Design, deploy, configure, and maintain NetApp storage systems (e.g., FAS, AFF, E-Series, 8200, 8300, A300)
  • Manage storage protocols (NFS, CIFS/SMB, iSCSI, FC) and ONTAP operating systems
  • Monitor performance, implement provisioning, and configure storage virtual machines (SVMs)

Data Science & Advanced Analytics:
  • Apply scripting languages (Python, R) and tools (Jupyter, Pandas, NumPy, Requests) in support of data science or advanced analytics
  • Develop statistical and operations research models to support business and technical objectives
  • Design and execute data mining, graph algorithms, or analytics pipelines

Data Protection & Integration:
  • Implement SnapMirror, SnapVault, and SnapRestore technologies
  • Support data backup, disaster recovery planning, and storage consolidation
  • Integrate with cloud platforms (e.g. AWS, NetApp Cloud Manager, FSxN)

Performance Optimization
  • Analyze storage performance metrics and optimize configurations
  • Implement quality of service (QoS) policies
  • Troubleshoot storage-related performance issues
  • Capacity planning and forecasting

APIs, ETL, and Application Support:
  • Design and implement APIs and ETL pipelines for large-scale data movement
  • Collaborate with network, server, application, and database teams to meet data delivery requirements
  • Work with virtualization technologies (e.g., VMware, Xen, KVM)

Qualifications

Required Education and Experience:
  • Bachelor's Degree with a minimum of 14 years of relevant experience
  • Familiarity with NetApp tools including OnCommand, Active IQ, System Manager
  • Proficiency with operating systems (Linux, Windows Server) and enterprise networking
  • CompTIA Storage+ or equivalent certifications

Preferred Qualifications:
  • Experience with AWS cloud storage services (e.g., S3, EBS, FSx, Storage Gateway)
  • NetApp Certified Data Administrator (NCDA)
  • NetApp Certified Implementation Engineer (NCIE)

Soft Skills:
  • Analytical thinking and problem-solving mindset
  • Excellent written and verbal communication
  • Ability to work independently and collaboratively in a 24/7 support environment
  • Experience in documenting technical solutions and managing cross-functional projects



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