This role supports the Naval Research & Development Establishment (NR&DE) within the Decision Advantage Solutions Hub (DASH) Integrated Product Team (IPT). NR&DE includes 15+ warfare centers, NIWC Atlantic, University Affiliated Research Centers (UARCs), and a Federally Funded Research Development Center (FFRDC). The organization operates several Communities of Practice (CoPs), each focused on solving domain-specific challenges that often drive new analytics requirements.
As a Data Engineer, you will design, implement, and optimize data systems and pipelines that enable AI/ML applications for a Navy IT command. You will collaborate with AI/ML engineers and technical teams to ensure scalable, reliable data processing. This role applies modern data engineering practices to support machine learning deployment, enhance mission-critical operations, improve data quality, uphold security standards, and strengthen data workflows across the client's IT ecosystem.
Responsibilities:
- Analyze use cases and high-level requirements to define detailed requirements for data solution design and implementation.
- Analyze and refine enterprise metrics and business rules with stakeholders; identify related data needs and sources.
- Establish and update data architectures/models, data standards, transformations, and integrations.
- Design, build, publish, refresh, and maintain reference materials defining terms, metrics, business rules, and similar artifacts for analysts and other consumers.
- Provide automation through the development and deployment of modern software-intensive solutions.
Required Qualifications:
- 5 years of experience supporting corporate operations with data management and analysis.
- 3 years of experience in data management, data analysis, and data visualization.
- 3 years of Business Intelligence experience designing dashboards, reporting solutions, and integrations using the QLIK Advana reporting suite.
- Experience designing varied data visualization techniques and selecting appropriate visuals for different audiences.
- Experience with project planning, timeline/milestone recommendations, risk identification, cross-functional collaboration, spreadsheet-based analytical modeling, and stakeholder communication.
- Technical skills: Python, SQL, data modeling, APIs, data architecture.
- Knowledge and skill with AI libraries.
- BS degree in Physical Sciences, Computer Science, Mathematics, Psychology, Business Intelligence, Business Administration or Finance, Statistics, or Management Information Systems.
Salary: 95k+ dependent on education and experience
Applicants selected will be subject to a government security investigation and must meet eligibility requirements for access to classified information.
