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 objectivesDesign and execute data mining, graph algorithms, or analytics pipelinesData Protection & Integration :
Implement SnapMirror, SnapVault, and SnapRestore technologiesSupport data backup, disaster recovery planning, and storage consolidationPerformance OptimizationAnalyze storage performance metrics and optimize configurationsImplement quality of service (QoS) policiesTroubleshoot storage-related performance issuesCapacity planning and forecastingQualifications
Minimum Education & Experience Requirements :
Bachelor's Degree with a minimum of 14 years of relevant experienceRequired Skills :
Familiarity with NetApp tools including OnCommand, Active IQ, System ManagerCompTIA Storage+ or equivalent certificationsPreferred 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 movementCollaborate with network, server, application, and database teams to meet data delivery requirementsApply scripting languages (Python, R) and tools (Jupyter, Pandas, NumPy, Requests) in support of data science or advanced analyticsProficiency with operating systems (Linux, Windows Server) and enterprise networkingSoft Skills :
Analytical thinking and problem-solving mindsetExcellent written and verbal communicationAbility to work independently and collaboratively in a 24 / 7 support environmentExperience in documenting technical solutions and managing cross-functional projectsMUST BE A US CITIZEN WITH THE ABILITY TO OBTAIN A SECRET SECURITY CLEARANCE