Big Data Engineer

SAIC-posted 10 days ago
Full-time • Mid Level
Chantilly, VA
5,001-10,000 employees
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SAIC® is a premier Fortune 500® mission integrator focused on advancing the power of technology and innovation to serve and protect our world. Our robust portfolio of offerings across the defense, space, civilian and intelligence markets includes secure high-end solutions in mission IT, enterprise IT, engineering services and professional services. We integrate emerging technology, rapidly and securely, into mission critical operations that modernize and enable critical national imperatives. We are approximately 24,000 strong; driven by mission, united by purpose, and inspired by opportunities. SAIC is an Equal Opportunity Employer. Headquartered in Reston, Virginia, SAIC has annual revenues of approximately $7.5 billion. For more information, visit saic.com . For ongoing news, please visit our newsroom . SAIC is seeking a Big Data Engineer to join our team of professionals providing technical and program services to the Air Force, Space and Intelligence Business Group (AFSI). SAIC provides research, engineering, design, analysis, acquisition, development, integration, test, and operations support to USG Intelligence Community (IC) and Department of Defense (DoD) customers. We support development and delivery of next generation and generation after next national security systems based on land, at sea, in air, and in space. The Big Data Engineer will support the NRO’s Advanced Systems and Technology (AS&T) Directorate, which researches and develops the nation’s most advanced technology for space-based Intelligence, Surveillance and Reconnaissance (ISR) systems. This individual will provide comprehensive technical support across multiple domains, with a focus on data architecture, ETL processes, and data storage solutions. This role is integral to enhancing AS&T’s technological capabilities and strategic decision-making processes. The primary functions of the candidate will include, but are not limited to:

  • Designs scalable data architectures, leading ETL processes, and oversees the implementation of data storage solutions to include creating, manipulating, and maintaining large databases
  • Support the development, integration, and visualization of advanced analytics tools, ensuring efficient data access and insights generation
  • Optimize system performance and scalability, implementing continuous improvement initiatives
  • Architect, deploy, and maintain multiple, fast-turnaround capabilities used to perform various highly-visible and high-priority collection efforts
  • Strategically apply AI/ML to extract, format, and expose in indexed search tools relevant content such as raw text, tabular (CSV, Parquet, Avro) or nested (JSON, JSONL, XML), and other structured /unstructured data types. Data is expected to be of varying formats, schemas, and structures
  • Provide Data Engineering support to include cleaning, modeling, and formatting data of unknown formats
  • Move data between different cloud storage environments for critical requests
  • Coordinate with multiple entities, including mission partners, to ensure capabilities and deliverables meet defined requirements and tradecraft needs
  • Create and maintain collection capabilities and deliverables within the Customer’s Amazon Web Services environment utilizing Customer approved AWS services
  • Validate collected data to ensure it meets data format requirements
  • Document all source code, including how to execute the code
  • Perform operations and maintenance on the collection capabilities and deliverables to adapt to changes in collection target, technologies, data formats, and naming conventions
  • Active TS/SCI with CI Polygraph
  • Bachelor's degree in Information Technology, Cybersecurity, Computer Science, Information Systems, Data Science, or Software Engineering and 9 years or more experience; Masters 7 years or more experience
  • Demonstrated experience with Python
  • Ability to maintain SQL and NO-SQL databases
  • Demonstrated experience with Tableau or Salesforce
  • Ability to create and manage AWS resources, including provisioning EC2 instances, writing and deploying Lambda functions, creating and writing to S3, and managing authorization appropriately across resources with IAM policies
  • One Active Certification\: CCISO, CISM, CISSP, GSLC, SSCP, Sec+ or GSEC
  • 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
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