Data Engineer

Amentum is hiring a Data Engineer to support NASA’s Front Door program, alongside teammate company Intuitive Machines. The role builds and maintains the data foundation for intake workflows, CRM operations, analytics readiness, and cross-agency data interoperability.

Responsibilities:

• Support NFD’s data architecture, governance, quality, and integration work by designing and refining data models; maintaining metadata, vocabularies, and taxonomies; documenting lineage, mappings, and lifecycle processes; developing data quality rules and remediation guidance; supporting integration analysis and source to target designs; preparing data for analytics and AI; and delivering clear documentation across all data domains
• Design and refine logical/physical data models and schemas
• Maintain metadata repositories, taxonomies, glossaries, and authoritative definitions
• Develop and monitor data quality rules, metrics, and remediation plans
• Document lineage, mappings, interfaces, retention, and lifecycle processes
• Support integration requirements, exchange analysis, and source to target designs
• Assist with analytics, dashboards, metrics development, and AI readiness
• Produce architecture, governance, quality, integration, and analytics documentation
• Other duties as assigned or required

Requirements:

• Typically requires a bachelor's degree in Engineering and a minimum of 2- 5 years of experience in the field or in a related area
• Strong skills in data modeling, schema design, and metadata management
• Experience with CRM/workflow systems
• Ability to translate business requirements into technical/data solutions
• Experience supporting governance, stewardship, and cross functional coordination
• Strong documentation and communication skills (verbal and written)
• Experience preparing data for analytics or AI initiatives
• Excellent organizational skills and ability to manage parallel workstreams
• Proof of U.S. Citizenship or US Permanent Residency may be a requirement for this position
• Salesforce preferred
• 8+ years in data engineering, data architecture, or enterprise data management
• Experience in NASA, Federal environments, or enterprise governance frameworks
• Salesforce data architecture, metadata tools, or object modeling
• Knowledge of APIs, integration patterns, lifecycle management, and MDM
• Experience with dashboards, metrics, or analytics ready data models
• Experience supporting AI/ML data preparation
• Familiarity with data cataloging and metadata tools
• Experience with PowerApps/Power BI