Within this role you will define the data backbone behind advanced analytics and AI-enabled mission support. You will play a critical role in ensuring the right data is available, usable, and ready to support highly visible capabilities that inform decision-making and modernization at scale.
Key responsibilities may include
Support data strategy and execution supporting DCC and CTO-driven capabilities
Identify, assess, and prioritize data sources needed to support analytics, visualization, and AI-enabled workflows
Coordinate data acquisition efforts across internal teams, stakeholders, and program partners
Define and improve approaches for data fusion, modernization of data capture, and data pipeline readiness
Guide ETL and data preparation efforts needed to support dashboards, analytics models, and downstream AI/ML use cases
Partner with systems, software, and analytics teams to align data architecture with mission needs
Help identify data gaps, dependencies, quality issues, and integration challenges affecting program success.
Qualifications
Required Qualifications
Minimum of 10+ w/ BS/BA, 8+ w/ MS/MA, or 5+ w/Ph.D. years of relevant experience in data engineering, software engineering, aerospace, systems engineering, systems/enterprise architecture, or related fields
Demonstrated experience with data identification, data acquisition, ETL, and multi-source data integration
Experience with advanced data analysis and data fusion
Familiarity with modern data capture, transformation, and preparation approaches that support advanced analytics
Ability to work across multiple teams and stakeholders to align data efforts with mission objectives
US Citizenship with ability to obtain/maintain an FAA Public Trust suitability
Must be local and able to commute to one of our following locations: Annapolis Junction, MD, Bowie, MD, or Herndon, VA.
Desired Qualifications
Experience with synthetic data generation
Familiarity with FAA systems or aviation operational data environments
Experience supporting analytics platforms, dashboards, AI/ML pipelines, or decision-support systems
Knowledge of metadata, lineage, governance-aware data practices, or data architecture strategy
Experience with cloud data platforms, APIs, and modern data engineering ecosystems
Target Salary Range $135,000 - $216,000. This represents the typical salary range for this position. Salary is determined by various factors, including but not limited to, the scope and responsibilities of the position, the individual’s experience, education, knowledge, skills, and competencies, as well as geographic location and business and contract considerations. Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay.
Benefits Statement
Peraton offers eligible employees a variety of benefits including medical, dental, vision, life, health savings account, short/long term disability, EAP, parental leave, 401(k), paid time off (PTO) for vacation, and company paid holidays. A full listing of available benefits can be viewed at https://www.careers.peraton.com/benefits.
Application Statements The application period for the job is estimated to be 30 days from the job posting date. However, this timeline may be shortened or extended depending on business needs and the availability of qualified candidates. By applying to this job, you are expressing interest in the role and the Company. During the review of your application, you may be required to participate in an on-camera interview, as well as participate in a process to verify your identity. Use of artificial intelligence (AI) tools of any kind during Peraton interviews is strictly prohibited unless the candidate has obtained prior written authorization. All interview responses must be the candidate’s own.
- EEO
- EEO: Equal opportunity employer, including disability and protected veterans, or other characteristics protected by law.
