Data Engineer

Are you passionate about human space exploration, understanding the origins of the universe, and working with a passionate and diverse team to make a difference? If you are, we need you!

We need your talent, teamwork, and energy to help us achieve great things that inspire people all over the globe. We need you to bring creative ideas and diverse backgrounds to help us envision, shape, and deliver systems that will enable the exploration of space while benefiting people here on Earth. We are excited about what we do, and we need you on our team as we take on exciting challenges for NASA's pursuits in deep space exploration.

We have an exciting opportunity for a Data Engineerto join our JETS II contract team atNASA Johnson Space Center in Houston, TX.

If selected you will:

• 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

Qualifications:

This position has been posted at multiple levels. Depending on the candidate's experience, requirements, and business needs, we reserve the right to consider candidates at any level for which this position has been advertised.

• 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 (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

• Hybrid telework from Houston preferred, Remote considered

Benefits

• Competitive pay

• Positive work-life balance

• 100% Employer paid insurance including: Medical, dental, vision, life insurance, accidental death and dismemberment, short-term disability, and long-term disability

• 11 paid holidays annually

• Generous PTO

• 401k after 12 months of service with employer match

• Education assistance

• Relocation assistance (if applicable)

Mclaurin is a unique organization with a special focus on combining the best features of research and industry in order to foster innovation. Our organization strongly supports research, publication, and engagement with the academic community. We encourage our employees to remain on the cutting edge of new developments in their respective disciplines.

US Citizenship and the ability to pass a comprehensive security background investigation is required.

Mclaurin is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status or other characteristics protected by law.