Description
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:
o Design and implement APIs and ETL pipelines for large-scale data movement
o 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
MUST BE A US CITIZEN WITH THE ABILITY TO OBTAIN A SECRET SECURITY CLEARANCE
Apply on company website