Hardware Support

Description

SAIC has new opportunities to support the Federal Aviation Administration (FAA) Tech Center in Atlantic City, NJ! These positions are 100% onsite and may require some travel to other airports within the United States.

Job Responsibilities may include:

• Gather, normalize, and integrate data from multiple sources including TFDM, ERAM, STARS, SWIM, TBFM, and surface surveillance systems (e.g., ASDE-X, ASSC).
• Develop and maintain data pipelines to support ongoing monitoring, analysis, and reporting.
• ·Analyze aircraft surface movement data, runway utilization, pushback times, taxi-out delays, and metering effectiveness to evaluate TFDM system impact.
• Support FAA stakeholders with analysis of throughput, delay reduction, queue management, and overall efficiency improvements.
• Analyze data from test events including Factory Acceptance Testing (FAT), Site Acceptance Testing (SAT), and Operational Readiness Demonstrations (ORD).
• Provide quantitative assessments and visualizations to validate TFDM performance against baseline metrics and operational expectations.
• Design and maintain dashboards and visual reporting tools (e.g., Power BI, Tableau) to present key performance indicators (KPIs) for internal and external stakeholders.
• Tailor dashboards to support roles such as system engineers, site implementation leads, and FAA program managers.
• Identify trends, anomalies, and outliers in operational data; perform root cause analysis to uncover system issues or inefficiencies.
• Generate actionable insights to inform system enhancements, procedural changes, or additional training needs.
• Validate the accuracy, completeness, and consistency of TFDM-related datasets, identifying and resolving data integrity issues.
• Collaborate with systems engineers and developers to ensure data logging and telemetry meet analysis requirements.
• Develop and deliver recurring and ad-hoc reports to TFDM program leadership, FAA stakeholders (e.g., AJM, AJT, AJW), airport authorities, and industry partners.
• ·Support responses to data-related inquiries from internal FAA teams and external evaluators.
• Contribute to the development of models that support predictive surface metering, queue estimation, and traffic flow optimization.
• Assist in evaluating model performance and recommending improvements based on historical data trends.
• Work with cross-functional teams --including software engineers, integration specialists, and operational SMEs --to identify analysis needs and define data requirements.
• Translate technical requirements into data products that support program goals and decision-making.
• Ensure data handling complies with FAA data governance policies, privacy requirements, and cybersecurity standards.
• Maintain proper documentation of methodologies, assumptions, and data sources to ensure transparency and reproducibility.

Qualifications

Required Education & Experience:

• Bachelor of Science degree in Computer Science, Engineering, or a related field and 2-9 years of relevant engineering/aviation experience, preferably with FAA systems.

Required Clearance:

• US Citizenship.
• Ability to obtain and maintain an FAA Public Trust.