Enterprise Data Systems Engineer

Arcfield; Chantilly (VA); On-site; USD 95,000 - 165,000; Full time

Job summary

Arcfield provides foundational systems engineering and integration solutions for national security missions and seeks an Enterprise Data Scientist to support SETA activities in the Ground Enterprise Directorate in Chantilly, VA. The role focuses on organizing and leveraging complex mission data across enterprise systems to ensure interoperability and mission readiness.

The position involves evaluating data models, metadata, ontologies, data catalogs, and data quality, while collaborating with

Qualifications

• Bachelor's with 5–7 years, or Master's with 3–5 years, or PhD with 0–2 years.
• Knowledge of data models, schemas, relational databases, and integration principles.
• Understanding metadata, data quality, data classification, and enterprise data concepts.
• Familiarity with SQL, Python, or equivalent data analysis tools.
• Ability to evaluate solutions, identify dependencies and risks, and provide recommendations.

Responsibilities

• Assess data models, schemas, structures, and relationships for consistency and interoperability.
• Evaluate metadata management, data catalogs, dictionaries, and definitions for accessibility.
• Assess ontologies, taxonomies, semantic relationships, and data standards for integration.
• Analyze data flows, interfaces, mappings, and transformation approaches and identify gaps.
• Support technical reviews, testing, and validation against requirements and objectives.

Skills

Clearance TS/SCI with Polygraph

SQL

Python

Systems Analysis

Communication & Collaboration

Education

Bachelor's degree with 5-7 years experience / Master’s with 3-5 years / PhD with 0-2 years

Tools

SQL

Python

Job description

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.

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: $94,910.76Max: $165,031.40

EEO Statement

We are an equal opportunity employer and federal government contractor. We do not discriminate against any employee or applicant for employment as protected by law.