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
Operations Research
Data Mining
Algorithms
Analytics
Data Security
Backup
Disaster Recovery
Performance Tuning
Performance Metrics
QoS
Capacity Management
Forecasting
IQ
Storage+
Cloud Storage
Amazon S3
EBS
Storage
NCDA
Amazon Web Services
NetApp
Cloud Computing
Virtualization
VMware
Xen
Kernel-based Virtual Machine
Application Support
Extract
Transform
Load
Collaboration
Network
Database
Scripting
Python
R
Jupyter
Pandas
NumPy
Data Science
Advanced Analytics
Operating Systems
Linux
Microsoft Windows Server
Microsoft Operating Systems
Enterprise Networks
Soft Skills
Analytical Skill
Conflict Resolution
Problem Solving
Communication
Management
Information Technology
Systems Engineering
FOCUS
Job Details
Job ID: 2511066
Location: CHARLESTON, SC, US
Date Posted: 2025-10-24
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:
Data Science & Advanced Analytics:
Data Protection & Integration:
Qualifications
Minimum Education & Experience Requirements:
Required Skills:
Preferred Qualifications:
APIs, ETL, and Application Support:
Soft Skills:
Location: CHARLESTON, SC, US
Date Posted: 2025-10-24
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:
- 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
- Performance Optimization
- Analyze storage performance metrics and optimize configurations
- Implement quality of service (QoS) policies
- Troubleshoot storage-related performance issues
- Capacity planning and forecasting
Qualifications
Minimum Education & Experience Requirements:
- Bachelor's Degree with a minimum of 14 years of relevant experience
Required Skills:
- Familiarity with NetApp tools including OnCommand, Active IQ, System Manager
- 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)
- Integrate with cloud platforms (e.g. AWS, NetApp Cloud Manager, FSxN)
- Work with virtualization technologies (e.g., VMware, Xen, KVM)
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
- Apply scripting languages (Python, R) and tools (Jupyter, Pandas, NumPy, Requests) in support of data science or advanced analytics
- Proficiency with operating systems (Linux, Windows Server) and enterprise networking
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
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.