Data Engineer

Amentum; United States; Hybrid; USD 90,000 - 130,000; Full time

Benefits offered by this job

Health insurance

401(k) matching

Paid time off

Educational reimbursement

Parental leave

Employee stock purchase plan

Job summary

Amentum is supporting NASA’s Front Door (NFD) program as a Data Engineer, contributing to data architecture, governance, quality, and integration for the external engagement platform. The role emphasizes models, metadata, lineage, analytics readiness, and AI integration for the NFD environment.

You will help advance data structures, maintain metadata repositories, and support dashboards and AI-ready data initiatives.

Qualifications

• Bachelor’s degree in Engineering and 2–5 years of related experience.
• Strong data modeling, schema design, and metadata management.
• Experience with CRM/workflow systems, preferably Salesforce.

Responsibilities

• Design and refine logical and physical data models, schemas, and related structures.
• Maintain metadata repositories, including taxonomies, glossaries, and authoritative definitions.
• Develop and monitor data quality rules, metrics, and remediation plans.
• Document data lineage, mappings, interfaces, retention, and lifecycle processes.
• Support integration requirements, exchange analysis, and source-to-target design activities.
• Assist with analytics support such as dashboards, metrics development, and AI readiness.
• Produce documentation for architecture, governance, quality, integration, and analytics.
• Perform other duties as assigned or required.

Skills

data modeling

metadata management

governance

data integration

analytical thinking

communication

Education

Bachelor’s degree in Engineering

Tools

Salesforce

PowerApps

Power BI

Job description

Amentum is supporting NASA’s Front Door (NFD) program, helping deliver an enterprise data foundation for NASA’s external engagement platform. In this Data Engineer role, you will contribute to data architecture, governance, quality, and integration, with a focus on models, metadata, lineage, and analytics and AI readiness for the NFD environment.

Role focus

You will help advance logical and physical data structures and the supporting governance artifacts that make data usable across teams. The work includes building and refining data models and schemas, maintaining authoritative metadata, documenting lineage and lifecycle processes, and supporting integration designs that connect source-to-target systems. You will also assist with analytics and dashboard enablement and preparation of data for AI initiatives.

Responsibilities

• Design and refine logical and physical data models, schemas, and related structures
• Maintain metadata repositories, including taxonomies, glossaries, and authoritative definitions
• Develop and monitor data quality rules, metrics, and remediation plans
• Document data lineage, mappings, interfaces, retention, and lifecycle processes
• Support integration requirements, exchange analysis, and source to target design activities
• Assist with analytics support such as dashboards, metrics development, and AI readiness
• Produce documentation for architecture, governance, quality, integration, and analytics
• Perform other duties as assigned or required

Requirements

• Typically requires a bachelor’s degree in Engineering and 2 to 5 years of experience in a related field
• Strong skills in data modeling, schema design, and metadata management
• Experience with CRM/workflow systems, with Salesforce preferred
• Ability to translate business requirements into technical and data solutions
• Experience supporting governance, stewardship, and coordination across teams
• Strong documentation and communication skills (verbal and written)
• Experience preparing data for analytics or AI initiatives
• Excellent organization with the ability to manage parallel workstreams

Preferred requisition preferences

• 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 experience
• 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 and Power BI
• Hybrid telework from Houston preferred; remote considered

Tools and technologies

• Salesforce
• PowerApps
• Power BI

Security and eligibility

• Proof of U.S. Citizenship or U.S. Permanent Residency may be required
• Must be able to complete a U.S. government background investigation

Location and work environment

This role is Remote (hybrid). Hybrid is generally preferred, with remote considered. The work is generally office-based, with tasks that may involve inside or outside work depending on assignment.

Physical requirements and attendance

• Work may involve sitting or standing for extended periods (about 90% of the time)
• May require lifting and carrying up to 25 lbs (about 5% of the time)
• Regular attendance aligned with the established work schedule is critical
• Ability to work outside normal schedule and adjust to meet peak periods and surge requirements

Benefits

• Health, dental, and vision insurance
• Paid time off and holidays
• Retirement benefits including 401(k) matching
• Educational reimbursement
• Parental leave
• Employee stock purchase plan
• Tax-saving options
• Disability and life insurance
• Pet insurance

Equipment

Standard office equipment such as a PC, telephone, and printer may be used.

Other essential functions

• Professional behavior that supports productivity and teamwork
• Grooming and dress must be appropriate for the position and must not impose a safety risk or hazard to the employee or others