Enterprise Data Systems Engineer

Location: Chantilly, Virginia, United States; no remote/telework allowed

Salary: $94,910.76–$165,031.40 projected annual compensation range.

Company

hirify.global provides systems engineering and integration solutions for critical space and ground missions and supports federal government programs.

What you will do

• Assess enterprise data models, schemas, structures, relationships, metadata, catalogs, dictionaries, ontologies, taxonomies, and semantic standards.
• Analyze data flows, interfaces, mappings, transformations, dependencies, integration gaps, and technical risks.
• Evaluate data quality, provenance, lineage, classification, governance, and enterprise data organization approaches.
• Assess data readiness and technical approaches supporting analytics, automation, artificial intelligence, and machine learning.
• Collaborate with engineers, architects, developers, and Government stakeholders to define requirements, evaluate solutions, and resolve technical issues.
• Support technical reviews, testing, validation, documentation, recommendations, and briefings for Government decisions.

Requirements

• Must possess and be able to maintain a TS/SCI clearance with Polygraph.
• Bachelor’s degree with 5–7 years of relevant experience, or a master’s degree with 3–5 years, or a PhD with 0–2 years.
• Working knowledge of data models, schemas, relational databases, data structures, and integration principles.
• Understanding of metadata, data quality, data classification, and enterprise data organization.
• Familiarity with SQL, Python, or comparable data analysis and processing technologies sufficient to assess technical approaches and workflows.
• Ability to evaluate technical solutions, identify dependencies and risks, and contribute to engineering assessments and recommendations.
• Strong analytical, documentation, and communication skills, with the ability to work across multidisciplinary technical teams.

Nice to have

• Experience with data catalogs, ontologies, taxonomies, knowledge graphs, semantic models, or metadata management platforms.
• Understanding of RDF, OWL, SPARQL, JSON, XML, APIs, or related data representation and integration technologies.
• Exposure to data lakes, warehouses, cloud-based data platforms, or distributed data architectures.
• Familiarity with data lineage, provenance, master data management, data stewardship, or enterprise data standards.
• Understanding of statistical analysis, machine learning, AI-enabled applications, or data visualization.
• Experience supporting Intelligence Community or DoD systems, enterprise integration, or Agile/DevSecOps environments.

Culture & Benefits

• Regular full-time employment supporting federal government and mission-critical programs.
• Benefits may include health insurance, life insurance, paid time off, holiday pay, disability coverage, retirement and savings plans, learning and development, and wellness programs.
• hirify.global is an equal opportunity employer and federal government contractor.