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Big Data Engineer at SAIC

Washington, District of Columbia, United States -

Full Time

Start Date

Immediate

Expiry Date

01 Jan, 26

Salary

0.0

Posted On

03 Oct, 25

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Big Data Solutions, Hadoop, Spark, Data Streaming Technologies, Data Pipelines, Large-Scale Data Processing, Data Quality, Data Warehousing, ETL Processes, Distributed Computing, System Performance, Scalability, Continuous Improvement, Advanced Analytics Tools, Data Access, Insights Generation

Industry

Defense and Space Manufacturing

Description

SAIC is seeking Big Data Engineers to join the Machine-assisted Analytic Rapid-repository System (MARS) Advanced Development Operations (DevOps) and Sustainment Support (ADOS) program and provide on-site technical support to facilitate operations of critical MARS infrastructure and services. This effort focuses on providing a comprehensive set of System/ Software Engineering and IT Services to maintain, sustain, enhance, and improve/ modernize MARS. This position will be located in the National Capital Region. Please note that this is contingent upon contract award, with an anticipated decision expected by Winter/ Spring 2026. The Big Data Engineer responsibilities include, but are not limited to: Designs scalable data architectures, leading ETL processes, and oversees the implementation of data storage solutions Support the development and integration of advanced analytics tools, ensuring efficient data access and insights generation Optimize system performance and scalability, implementing continuous improvement initiatives Active TS/SCI with Polygraph Bachelor's degree in Information Technology, Cybersecurity, Computer Science, Information Systems, Data Science, or Software Engineering and 14 years or more relevant experience (will consider an additional 4+ years of relevant experience in lieu of degree) One Active Certification: CCISO, CISM, CISSP, GSLC, SSCP or GSEC Expertise in designing, implementing, and managing Big Data solutions using Hadoop, Spark, and data streaming technologies Proven experience optimizing data pipelines, performing large-scale data processing, and ensuring data quality Strong knowledge of data warehousing concepts, ETL processes, and distributed computing environments

Responsibilities

The Big Data Engineer will design scalable data architectures, lead ETL processes, and oversee the implementation of data storage solutions. They will also support the development and integration of advanced analytics tools to ensure efficient data access and insights generation.