Mission Systems Data Engineer VFDE Job Listing at SAIC in San Diego, CA (Job ID 2612344)

Description

Description

SAIC is seeking an experienced Data Ops Engineer to join our Technical Engineering and Design Department in support of our United States Air Force customer. This position is on-site in Oahu, Hawaii. 

• Experience in site reliability engineering (SRE), platform operations, or equivalent ownership of production system stability
• Serve as a primary steward of platform health by maintaining site reliability, monitoring data pipelines, and proactively identifying and resolving system issues before they impact operations.
• Architect and enhance systems that integrate real-time kinematic data with live, operational inputs ensuring accurate and time-sensitive entity tracking
• Develop data models and schema evolution strategies that allow entity tracking systems to adapt over time without disrupting downstream consumers or compromising system integrity
• Leverage understanding of intelligence community and military data feeds, systems, and workflows to inform technical decisions and ensure mission alignment.
• Analyze complex datasets, identify trends and anomalies, and translate findings into actionable insights that support operational and engineering decisions.
• Partner with cross-functional teams including engineers, operators, and program stakeholders, translating complex technical concepts clearly and adapting rapidly to evolving requirements.
• Demonstrate proficiency with frequent-used scripting languages (ex: Python) commonly used in data science applications and data analytics 

Qualifications

• Candidates must have an active TS/SCI clearance.  Additional eligibility requirements for access to other levels of classified information is required.
  U.S. Citizenship is required.
• Experience with Intelligence and C2 data sets including, but not limited to, ELINT, COMINT, MASINT, and GEOINT
• Knowledge in data mining, data modeling, statistics, and machine learning to extract and analyze information from structured and unstructured datasets to support continuity of operations objectives.
• Familiar with correlation and tracking fundamentals such as state estimation (position, velocity, acceleration), Kalman Filters, multi-hypothesis tracking (MHT), or track management

Target salary range: $160,001 - $200,000. The estimate displayed represents the typical salary range for this position based on experience and other factors.

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