Data Engineer

Intuitive Machines LLC • Houston, TX

12d • Hybrid

About The Position

NASA’s Front Door (NFD) program is seeking a Data Engineer to support enterprise data architecture, governance, quality, and integration for NASA’s external engagement platform. This role helps build and maintain the data foundation that enables intake workflows, CRM operations, analytics readiness, and cross Agency data interoperability.

Requirements

• Typically requires a bachelor’s degree in engineering and a minimum of 4- 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 (Salesforce preferred)
• 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
• U.S. citizenship or a minimum of three years of U.S. permanent residency is required for this position.

Nice To Haves

• 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
• Hybrids telework from Houston preferred.

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

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level