Data Engineer

Data Engineer

About Intuitive Machines:

Intuitive Machines is an innovative and cutting-edge space company making cislunar space accessible to both public and private customers. Our mission is to further science and exploration, communications, and economic progress from the Earth to the Moon and beyond. With multiple NASA lunar missions in development and additional private missions on our manifest, we pride ourselves in supporting NASA, our customers, and the nation in paving the way to return humans to the surface of the Moon. Our world-class team includes experts in all aspects of spacecraft subsystems design, development, and test, on-orbit operations, and safety.

Our long-term partnership with NASA has created an exciting opportunity for a Data Engineer on the JETS II contract at the Johnson Space Center in Houston, TX. Hybrid telework is preferred, with remote candidates also considered.

About the Position

NASA’s Front Door (NFD) program is seeking a Data Engineer to support enterprise data architecture, database design, data connections, and data integrity 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.

Responsibilities

Support NFD’s data architecture, database administration, integration, and data quality initiatives by designing and refining data models; maintaining Salesforce databases; developing integrations with external data sources; managing data integrity and normalization; supporting API-based data exchanges; preparing data for analytics and AI; and delivering comprehensive technical documentation.

• Design and refine logical and physical data models and schemas.
• Maintain Salesforce databases and develop methods to integrate with external data sources.
• Manipulate and transfer data between different systems using APIs and scripts.
• Develop and monitor data quality rules, metrics, and remediation plans.
• Support integration requirements, data exchange analysis, and source-to-target designs.
• Assist with analytics, dashboards, metrics development, and AI readiness.
• Produce architecture, governance, quality, integration, and analytics documentation.
• Perform data integrity and quality updates, including removing duplicate records, correcting inconsistent data, and normalizing data.
• Other duties as assigned or required.

Requisition Qualifications

• Bachelor’s degree with 5–10 years of experience in data engineering, data architecture, or enterprise data management.
• Strong skills in data modeling, schema design, Entity Relationship Diagrams (ERDs), and metadata management.
• Hands-on Database Administration (DBA) experience is required.
• Understanding of SQL and stored procedures.
• Experience with CRM/workflow systems (Salesforce preferred).
• Experience with data architecture and data mapping.
• Experience extracting, transferring, and loading data into database tables.
• Experience using APIs to access data in other applications and databases.
• Ability to translate business requirements into technical and data solutions.
• Experience maintaining data quality, including removing duplicate records, correcting inconsistent data, and performing data normalization.
• Strong documentation and communication skills (verbal and written).
• Ability to develop and maintain technical documentation, including data models, schemas, and ERDs, on a monthly or quarterly schedule.
• Ability to work independently, solve complex problems, and develop innovative solutions.
• Excellent organizational skills and ability to manage parallel workstreams.

Preferred Qualifications

• Salesforce data architecture experience.
• Previous NASA or federal government experience.
• Experience preparing data for analytics or AI/ML initiatives.
• Experience with PowerApps/Power BI.
• Hybrid telework from Houston, TX preferred; remote candidates considered.
• U.S. citizenship is required for this position.

US EEO Statement:

Intuitive Machines is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected veteran status, age, or any other characteristic protected by law.