Analytical and Problem solving, Azure, Big Data Technology, Data Visualization, DevOps, Effective communication skills, ETL/ELT technologies, JavaScript, Linux Operating system, Machine learning techniques, Python Programming, Scrum Agile Methodology, SQL, SQL Server
SAIC is seeking a Big Data Engineer Senior to support the US Navy in San Diego, CA.
Note: This position is a hybrid remote position with approx. 1-2 days a week onsite at the SAIC office in San Diego, CA.
The Data Engineer position will be in support of a NAVWAR system’s network health telemetry and reporting initiative. Integration/MDM/Data Warehousing, defining and building the data pipelines, data quality check and cleansing solutions, including capturing throughput/error statistics. Works in on-premises or public cloud environments to build scalable systems and solutions. Determines the appropriate database given the data and analytics needs, whether file structures, such as, relational databases including NewSQL, non-relational NoSQL databases including in-memory databases. While being responsible for the maintenance, configuration, and reliable operation of computer systems, network servers, and virtualization environment. Optimizes the distribution of data across our systems and the performance of repositories. Identifies performance bottle-necks and evaluates scaling benchmarks.
JOB DUTIES:
Qualifications
REQUIRED EXPERIENCE AND CLEARANCE:
DESIRED EXPERIENCE:
Target salary range: $95,001 - $105,000. The estimate displayed represents the typical salary range for this position based on experience and other factors.
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.
Science Applications International Corporation, Inc. is an American company headquartered in Reston, Virginia that provides government services and information technology support.
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8-10 year
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