BIG DATA ENGINEER ARCHITECT

$120,001 - $120,001/Yr

SAIC

Full-time

Onsite

10,001+ employees

Professional, Scientific, and Technical Services

About the position

SAIC is seeking an experienced Big Data Engineer/Architect to support the US Air Force Agency for Modeling and Simulation (AFMS) program. This fully remote position focuses on designing and implementing big data solutions to enhance the agency's data infrastructure and strategic business goals, ensuring seamless data flow and visualization capabilities.

Responsibilities

• Design and implement big data solutions to support the agency's data infrastructure and strategic business goals.
• Design, implement, and manage ETL processes to ensure data is accurately and efficiently transformed and loaded into the appropriate data stores for visualization.
• Develop and manage data pipelines to ensure seamless data flow and visualization capabilities.
• Design, implement, and manage data warehouses to support big data initiatives.
• Optimize the performance of big data solutions by tweaking metadata databases, caching layers, and other configurations.
• Implement role-based access control and ensure compliance with security best practices.
• Manage continuous integration and deployment pipelines for server-based technologies.
• Drive big data initiatives, ensuring that the data infrastructure supports strategic business goals and provides actionable insights.

Requirements

• DoD 8570 certification in IAT Level II certification or above (Security+ CE, CASP+ CE, CISSP, etc.).
• Must be US Citizen and currently possess an active Secret clearance.
• Bachelor's and 9+ years or more experience; Master's and 7+ years or more experience; PhD and 4 years related experience; or relevant years of experience in lieu of degree.
• Proven track record of successfully designing and implementing big data solutions.
• Strong experience with ETL processes and tools.
• Advanced knowledge of database management systems and SQL.
• Expertise in scripting languages such as Python.
• Strong problem-solving and analytical skills.
• Demonstrated ability to drive big data initiatives and align data infrastructure with strategic business goals.

Nice-to-haves

• AWS experience is a plus.
• Experience with MongoDB or Kafka is a plus.
• Cloud experience is a plus, but not required.