Senior Data Engineer

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VT-ARC, a technical services and applied research company, has built an organizational culture marked by four primary values:
Teamwork, Integrity, Excellence, and Service. Integral to our success is our staff’s enthusiasm for solving tough problems by working together in teams to get the job done. We foster a culture where every employee’s contribution is valued and performed with integrity while maintaining a fun work environment. VT-ARC strives for excellence in all that is done for our clients, and such achievement is recognized through service/merit awards.

Moreover, we promote a sense of community larger than VT-ARC alone, where staff and institutional resources can be applied in service to our country.

We are proud to be the recipient of the Best Workplace in Defense Award by Emergent Magazine, an honor that recognizes companies with positive cultures that not only impact their people but also make a meaningful difference in the community.

You are a curious, innovative, and solutions-driven data engineering expert who thrives on turning complex data into meaningful insights and mission impact. You enjoy designing scalable data architectures, building efficient data pipelines, and enabling emerging technologies such as AI, machine learning, and knowledge graphs to solve challenging problems. With strong collaboration and communication skills, you work effectively with stakeholders, engineers, and analysts to deliver data-driven solutions that support informed decision-making and operational success.

The Senior Data Engineer serves as a lead-level Subject Matter Expert (SME) responsible for designing, developing, and implementing enterprise data architectures, data integration solutions, and advanced analytical capabilities supporting mission-critical operations. This role supports the collection, transformation, organization, and exploitation of complex data across classified and unclassified environments.

The successful candidate will possess expertise in data engineering, data modeling, ontologies, taxonomies, metadata management, data transformation, and modern AI-enabled data architectures. The position requires experience designing and implementing scalable data solutions across cloud and hybrid environments utilizing data lakes, data meshes, data warehouses, knowledge graphs, and emerging artificial intelligence technologies including Large Language Models (LLMs) and agentic architectures.

The Senior Data Engineer will work closely with mission stakeholders, engineers, analysts, and leadership to translate operational requirements into data pipelines, workflows, and decision-support capabilities that enhance mission effectiveness and strategic decision-making.

This position is contingent upon contract award, with performance anticipated to begin on or about September 15 th , 2026.

• Serve as a technical SME for enterprise data architecture, data engineering, and advanced analytics initiatives.
• Analyze mission and operational requirements and translate them into scalable data pipelines, workflows, and integration solutions.
• Design, develop, and maintain enterprise data architectures supporting structured, semi-structured, and unstructured data environments.
• Develop and implement data models, ontologies, taxonomies, metadata frameworks, and data governance standards.
• Engineer data ingestion, transformation, translation, normalization, and enrichment processes across multiple data sources.
• Design and support data lakes, data meshes, data warehouses, and knowledge graph solutions.
• Develop and maintain metadata tagging strategies to improve data discoverability, lineage, quality, and interoperability.
• Support the integration and transformation of diverse message formats, schemas, protocols, and data standards.
• Design and optimize cloud-native and hybrid-cloud data architectures.
• Evaluate and support implementation of…