Principal Aviation Safety Analytics Engineer

DataJobs; Santa Clara (CA); Hybrid; USD 150,000 - 165,000; Full time

Job summary

ATAC in Santa Clara, CA seeks a Principal Aviation Safety Analytics Engineer to support aviation safety research in collaboration with the FAA Hughes Technical Center. Hybrid work options include on-site at the technical center, ATAC offices, or remote based on project needs.

The role focuses on analyzing aviation datasets to produce safety metrics, building AI/ML-enabled tools, and contributing to UI and data visualization to communicate findings effectively.

Qualifications

• BA/BS degree in Engineering, Computer Science, or a related field.
• 20+ years of related job experience.
• Strong software development skills.
• Proficiency with Big Data analytics.
• Proficiency with cloud-based solutions.
• Excellent written and oral communication skills.

Responsibilities

• Analyze, process, and filter aviation datasets to produce safety metrics.
• Develop AI/ML-enabled data tools and data visualization deliverables.
• Collaborate with FAA researchers and partners (NASA, MITRE) to advance separations standards analysis.
• Create data processing tools leveraging AI/ML.
• Support data analyses and automation of analysis processes.
• Contribute to UI and visualization development.

Skills

Big Data analytics

Cloud-based solutions

Analytical skills

Communication skills

Education

BA/BS in Engineering or CS

Job description

ATAC is seeking a Principal Aviation Safety Analytics Engineer to support aviation safety research conducted in collaboration with the FAA William J. Hughes Technical Center. The position will be based in Santa Clara, CA with a hybrid arrangement, with work available on-site at the technical center, at ATAC offices, or remotely, depending on project needs.

Role Summary

The role will analyze, process, and filter air traffic control and aviation datasets to produce safety metrics and decision support. Responsibilities include building AI/ML-enabled data tools and contributing to user interface and data visualization deliverables that help communicate safety findings.

Key Responsibilities

• Collaborate with FAA researchers and laboratory personnel, developers, programmers, contract support, and external research partners including NASA, MITRE, and other universities to advance separations standards analysis capabilities
• Develop new aviation safety metrics
• Create data processing tools leveraging Artificial Intelligence (AI) and Machine Learning (ML)
• Support data analyses, including automation of analysis processes and report generation
• Contribute to user interface and visualization development
• Restructure and process historical data
• Support development of functional requirements and software documentation

Required Qualifications

• BA/BS degree in Engineering, Computer Science, or a related field
• 20+ years of related job experience
• Strong software development skills
• Proficiency with Big Data analytics
• Proficiency with cloud-based solutions
• Strong analytical skills
• Excellent written and oral communication skills and interpersonal relations skills
• US citizenship or permanent residency

Technology Focus

• Artificial Intelligence (AI)
• Machine Learning (ML)

Desired Attributes

• Aviation safety experience
• Proficiency with AI/ML tools
• Knowledge of the current air traffic management system
• Experience with current FAA data repositories

Additional Information

The ideal candidate is a team player open to new ideas, technologies, and development methodologies. The role requires logical and creative thinking, along with a positive, constructive approach to problem solving.

Location and Compensation

Location: Santa Clara, CA (hybrid). Work may be performed on-site at the FAA William J. Hughes Technical Center, at ATAC offices, or remotely, based on project needs.
Salary: USD 150,000 - 165,000 per year.