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Systems Engineer
SAIC • Mclean, VA 22107 • Posted 3 days ago
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In-person • Full-time • Senior Level
Job Highlights
Using AI ⚡ to summarize the original job post
The Systems Engineer at SAIC will support a program leveraging integrated discrete technologies to support massive data processing, storage, modeling, and analytics over several thousand unique data sources. This role involves supporting threat identification and analysis, as well as supporting efforts to meet tactical and strategic goals. Responsibilities include supporting access management, meeting compliance requirements, conducting daily system architecture operations, performing technical systems administration activities, and developing integration plans for new technologies.
Responsibilities
- Support access management functions across the Sponsor data platform, including administrative activities of granting and revoking access.
- Meet Sponsor compliance requirements for processing, accessing, querying, and reporting findings from data.
- Conduct daily system architecture operations in support of data analysis and technical requirements with Sponsor oversight.
- Perform technical systems administration activities in support of the Sponsor's complex data operations activities.
- Develop integration plans that capitalize on new data processing, modeling, and storage technologies, including cloud environments.
Qualifications
Required
- Demonstrated experience developing, running, and analyzing results of complex queries against massive scale data stores or data processing environment(s).
- Demonstrated practical experience manipulating high-volume structured and unstructured data to perform analysis and generate reporting or products.
- Demonstrated experience using analytic techniques and tools performing technical analytic support to the Intelligence Community.
- Demonstrated practical experience developing and using computer languages (e.g., Python, R, Pig, Java, C, SQL, ECL) to perform large scale parallel processing of data.
- Demonstrated experience performing All-Source data analysis to perform technical analytic support in the Intelligence Community.
- Undergraduate degree in mathematics, computer science, engineering, or similar scientific or technical discipline.
- Graduate degree in computer science, information systems, engineering, or another scientific or technical discipline (preferred).
Preferred
- Demonstrated experience using Enterprise Control Language (ECL) and the Lexis-Nexis High Performance Cluster Computing (HPCC) platform.
- Demonstrated experience performing All-Source data analysis to perform analytic support to the Sponsor.
- Demonstrated experience developing custom algorithms to support analytic requirements against massive data stores supporting the Sponsor.
- Demonstrated experience directly supporting the Sponsor performing technical analysis support using massive data processing systems.
- Demonstrated experience writing cables.
- Demonstrated experience planning and coordinating program activities such as installation and upgrading of hardware and software, utilization of cloud services, programming, or systems design development, modification of IT networks, or implementation of Internet and intranet sites.
- Demonstrated experience deploying web applications to a cloud managed environment to include DevOps and security configuration management.
- Demonstrated experience developing, implementing, and maintaining cloud infrastructure services such as EC2, ELB, RDS, S3, and VPC.
- Demonstrated experience planning, coordinating, and executing the required activities to support documentation to meet the Sponsor's data compliance requirements (e.g., legal, data policy).
Full Job Description
Job ID: 2411799
Location: MCLEAN, VA, US
Date Posted: 2024-09-11
Category: Software
Subcategory: SW Systems Engr
Schedule: Full-time
Shift: Day Job
Travel: Yes, 10 % of the Time
Minimum Clearance Required: TS/SCI with Poly
Clearance Level Must Be Able to Obtain: None
Potential for Remote Work: No
Description
Support a program which leverages integrated discrete technologies to support massive data processing, storage, modeling, and analytics over several thousand unique data sources, to perform threat identification and analysis, as well as support efforts to meet tactical and strategic goals. The components that comprise the data platform capability - the technologies and systems, data, data processing and modeling, and use of the data via data science and querying of the data corpus and model(s) to derive insights. The data platform capability serves as the backbone for other capabilities (e.g., web applications), to accelerate its operations.
a. Support access management functions across the Sponsor data platform, to include the administrative activities of granting access to the data platform, as well as tracking of onboarding and offboarding personnel.
b. Meet Sponsor compliance requirements (e.g., legal, policy, INFOSEC) for processing, accessing, querying and reporting findings from data.
c. With Sponsor oversight, conduct daily system architecture operations (e.g., maintenance, builds) in support of data analysis and technical requirements.
d. Perform technical systems administration activities in support of the Sponsor's complex data operations activities. In some cases, activities are time sensitive.
e. On an ongoing basis, develop integration plans that capitalize on new data processing, modeling, and storage technologies including the cloud environments.
Qualifications
Required skills
Desired Skills
i. Graduate degree in computer science, information systems, engineering, or another scientific or technical discipline.
SAIC accepts applications on an ongoing basis and there is no deadline.
Covid Policy: SAIC does not require COVID-19 vaccinations or boosters. Customer site vaccination requirements must be followed when work is performed at a customer site.
SAIC is a premier technology integrator providing full life cycle services and solutions in the technical, engineering, intelligence, and enterprise information technology markets. SAIC is Redefining Ingenuity through its deep customer and domain knowledge to enable the delivery of systems engineering and integration offerings for large, complex projects. SAIC's approximately 15,000 employees are driven by integrity and mission focus to serve customers in the U.S. federal government. Headquartered in Reston, Virginia, SAIC has annual revenues of approximately $4.5 billion. For more information, visit saic.com. For information on the benefits SAIC offers, see .
Location: MCLEAN, VA, US
Date Posted: 2024-09-11
Category: Software
Subcategory: SW Systems Engr
Schedule: Full-time
Shift: Day Job
Travel: Yes, 10 % of the Time
Minimum Clearance Required: TS/SCI with Poly
Clearance Level Must Be Able to Obtain: None
Potential for Remote Work: No
Description
Support a program which leverages integrated discrete technologies to support massive data processing, storage, modeling, and analytics over several thousand unique data sources, to perform threat identification and analysis, as well as support efforts to meet tactical and strategic goals. The components that comprise the data platform capability - the technologies and systems, data, data processing and modeling, and use of the data via data science and querying of the data corpus and model(s) to derive insights. The data platform capability serves as the backbone for other capabilities (e.g., web applications), to accelerate its operations.
a. Support access management functions across the Sponsor data platform, to include the administrative activities of granting access to the data platform, as well as tracking of onboarding and offboarding personnel.
b. Meet Sponsor compliance requirements (e.g., legal, policy, INFOSEC) for processing, accessing, querying and reporting findings from data.
c. With Sponsor oversight, conduct daily system architecture operations (e.g., maintenance, builds) in support of data analysis and technical requirements.
d. Perform technical systems administration activities in support of the Sponsor's complex data operations activities. In some cases, activities are time sensitive.
e. On an ongoing basis, develop integration plans that capitalize on new data processing, modeling, and storage technologies including the cloud environments.
Qualifications
Required skills
- Demonstrated experience developing, running, and analyzing results of complex queries against massive scale data stores or data processing environment(s).
- Demonstrated practical experience manipulating high-volume structured and unstructured data to perform analysis and generate reporting or products.
- Demonstrated experience using analytic techniques and tools performing technical analytic support to the Intelligence Community.
- Demonstrated practical experience developing and using computer languages (e.g., Python, R, Pig, Java, C, SQL, ECL) to perform large scale parallel processing of data, and to develop, validate, and use methodologies to support analytic requirements in Clustered Computing environments.
- Demonstrated experience performing All-Source data analysis to perform technical analytic support in the Intelligence Community.
Desired Skills
- Demonstrated experience using Enterprise Control Language (ECL) and the Lexis-Nexis High Performance Cluster Computing (HPCC) platform.
- Demonstrated experience performing All-Source data analysis to perform analytic support to the Sponsor.
- Demonstrated experience developing custom algorithms to support analytic requirements against massive data stores supporting the Sponsor.
- Demonstrated experience directly supporting the Sponsor performing technical analysis support using massive data processing systems.
- Demonstrated experience writing cables.
- Demonstrated experience planning and coordinating program activities such as installation and upgrading of hardware and software, utilization of cloud services, programming, or systems design development, modification of IT networks, or implementation of Internet and intranet sites.
- Demonstrated experience deploying web applications to a cloud managed environment to include DevOps and security configuration management.
- Demonstrated experience developing, implementing, and maintaining cloud infrastructure services such as EC2, ELB, RDS, S3, and VPC.
- Demonstrated experience planning, coordinating, and executing the required activities to support documentation to meet the Sponsor's data compliance requirements (e.g., legal, data policy)
- Degree(s)
- Undergraduate degree in mathematics, computer science, engineering, or similar scientific or technical discipline.
i. Graduate degree in computer science, information systems, engineering, or another scientific or technical discipline.
- Degree or equivalent in CS, MIS, Economics, Physics, Genetics, or Engineering related field, especially Supercomputing-related.
SAIC accepts applications on an ongoing basis and there is no deadline.
Covid Policy: SAIC does not require COVID-19 vaccinations or boosters. Customer site vaccination requirements must be followed when work is performed at a customer site.
SAIC is a premier technology integrator providing full life cycle services and solutions in the technical, engineering, intelligence, and enterprise information technology markets. SAIC is Redefining Ingenuity through its deep customer and domain knowledge to enable the delivery of systems engineering and integration offerings for large, complex projects. SAIC's approximately 15,000 employees are driven by integrity and mission focus to serve customers in the U.S. federal government. Headquartered in Reston, Virginia, SAIC has annual revenues of approximately $4.5 billion. For more information, visit saic.com. For information on the benefits SAIC offers, see .
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