Enterprise Data Systems Engineer

Responsibilities

• The Mission
• At
• Arcfield

, we provide foundational systems engineering and integration solutions that protect and advance the nation’s most critical space and ground missions. We are currently seeking an

Enterprise Data Scientist

to provide Systems Engineering and Technical Assistance (SETA) support for enterprise data architecture, management, and integration within the Ground Enterprise Directorate.

The Role

In this role, you will provide technical analysis and engineering advisory support to help the Government organize, integrate, and effectively leverage

complex mission data across enterprise systems. You will evaluate data models, schemas, metadata, ontologies, and data catalogs to ensure technical approaches support interoperability, accessibility, consistency, and mission requirements.

The ideal candidate has a strong technical foundation in data science and data architecture, with the ability to assess proposed solutions, identify

integration challenges, and recommend practical improvements. Working alongside experienced systems engineers, architects, developers, and Government stakeholders, you will help ensure enterprise data capabilities are technically sound, scalable, and aligned with mission objectives

Key Responsibilities

Data Architecture & Modeling

Assess data models, schemas, structures, and relationships for consistency, interoperability, and alignment with enterprise requirements.

Metadata & Data Catalogs

Evaluate metadata management approaches, data catalogs, dictionaries, and common data definitions to improve enterprise data discovery and accessibility.

Ontologies & Semantic Data

Assess ontologies, taxonomies, semantic relationships, and data standards to support consistent interpretation and integration of mission data.

Data Integration & Interoperability

• Analyze data flows, interfaces, mappings, and transformation approaches to identify
• dependencies, integration gaps, and technical risks.

Data Quality & Governance

Evaluate data quality, provenance, lineage, classification, and governance approaches to support reliable and traceable enterprise data.

Analytics & Emerging Capabilities

Assess data readiness and technical approaches supporting advanced analytics, automation, artificial intelligence, and machine learning.

Technical Requirements & Coordination

Collaborate with engineers, architects, developers, and mission stakeholders to define data requirements, evaluate proposed solutions, and resolve technical issues.

Engineering Assessment & Validation

• Support technical reviews, testing assessments, and validation activities to evaluate data capabilities against requirements and mission objectives

Government Decision Support

Develop technical assessments, documentation, recommendations, and briefings to inform Government decisions on enterprise data capabilities.

Qualifications

Required Qualifications

Clearance

Must possess and be able to maintain a TS/SCI with Polygraph.

Education & Experience

• Bachelor's degree
• with 5-7 years of
• relevant experience; OR a
• Master's

degree with 3-5 years of experience; OR PhD with 0-2 years of experience.

Data Architecture & Structures

Working knowledge of data models, schemas, relational databases, data structures, and integration principles.

Data Management

Understanding of metadata, data quality, data classification, and enterprise data organization concepts.

Technical Proficiency

Familiarity with SQL, Python, or comparable data analysis and processing technologies, sufficient to assess technical approaches and data workflows.

Systems Analysis

• Ability to evaluate technical solutions,
• identify
• dependencies and risks, and contribute to engineering assessments and recommendations.

Communication & Collaboration

Strong analytical, documentation, and communication skills with the ability to work across multidisciplinary technical teams.

Desired Qualifications

Metadata & Semantic Technologies

Familiarity with data catalogs, ontologies, taxonomies, knowledge graphs, semantic models, or metadata management platforms.

Data Standards & Technologies

Understanding of RDF, OWL, SPARQL, JSON, XML, APIs, or related data representation and integration technologies.

Enterprise Data Platforms

Exposure to data lakes, warehouses, cloud-based data platforms, or distributed data architectures.

Data Governance

Familiarity with data lineage, provenance, master data management, data stewardship, or enterprise data standards.

Analytics & AI/ML

Understanding of statistical analysis, machine learning, AI-enabled applications, or data visualization techniques.

Mission Environment

• Experience supporting Intelligence Community (IC) or DoD systems, enterprise integration, or Agile/
• DevSecOps
• environments.
• Equal Pay Act

This is the projected compensation range for this position. There are differentiating factors that can impact a final salary/hourly rate, including, but not limited to, Contract Wage Determination, relevant work experience, skills and competencies that align to the specified role, geographic location (For Remote Opportunities), education and certifications as well as Federal Government Contract Labor categories. In addition, Arcfield invests in its employees beyond just compensation.

Arcfield ’s benefits offerings include, dependent upon position, Health Insurance, Life Insurance, Paid Time Off, Holiday Pay, Short Term and Long-Term Disability, Retirement and Savings, Learning and Development opportunities, wellness programs as well as other optional benefit elections.

• Min: $94,910.76
• Max: $165,031.40
• EEO Statement

We do not discriminate against any employee or applicant for employment as protected by law.