Data Engineer for NASA-Scale Data & AI Readiness

Intuitive Machines; Houston (TX); Hybrid; USD 110,000 - 160,000; Full time

Job summary

Intuitive Machines is a space-focused company advancing cislunar exploration from Johnson Space Center in Houston. The Data Engineer will support enterprise data architecture, governance, quality, and integration for NASA’s external engagement platform, enabling intake workflows, CRM operations, and analytics readiness.

The role emphasizes building data foundations, creating scalable data models, and documenting lineage across data domains.

Qualifications

• Bachelor’s degree in engineering; 4–5 years in data engineering or related field.
• Strong data modeling, schema design, and metadata management experience.
• Experience with CRM/workflow systems; Salesforce preferred.
• Ability to translate business requirements into technical/data solutions.
• Experience supporting governance, stewardship, and cross-functional coordination.
• Excellent documentation and written/verbal communication skills.
• Experience preparing data for analytics or AI initiatives.
• Strong organizational skills and ability to manage parallel workstreams.

Responsibilities

• Design and refine 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.

Skills

Data modeling

Schema design

Metadata management

CRM systems

Data governance

Documentation

Communication

Analytics readiness

AI readiness

Project coordination

Education

Bachelor’s degree in engineering

Tools

PowerApps

Power BI

Job description

Intuitive Machines is a space-focused company advancing cislunar exploration from Johnson Space Center in Houston. The Data Engineer will support enterprise data architecture, governance, quality, and integration for NASA’s external engagement platform, enabling intake workflows, CRM operations, and analytics readiness.

The role emphasizes building data foundations, creating scalable data models, and documenting lineage across data domains.