Mission Systems Data Engineer VFDE

SAICSan Diego, CA
Onsite

About The Position

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. 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.

Requirements

  • Experience in site reliability engineering (SRE), platform operations, or equivalent ownership of production system stability.
  • Demonstrate proficiency with frequent-used scripting languages (ex: Python) commonly used in data science applications and data analytics.

Responsibilities

  • 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.
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