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# Data Engineer

- **Company:** Intuitive Machines
- **Location:** Houston, TX, United States (Remote available)
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Data Analysis, Customer Data Management, Data Architecture, Data Cleansing, Information Engineering, Data Systems, Metadata, Meta-Data Management, Metadata Repositories, Object-Oriented Software Development, Power BI, Salesforce.Com, Enterprise Data Management, Physical Data Models, Powerapps
- **Published:** September 13, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=03ca0c0402b77518

## About the Role

* 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

Preferred Qualifications:

 * 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.
 * U.S. citizenship or a minimum of three years of U.S. permanent residency is required for this position.

## Description

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


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