Data Engineer - Mid-Level

Ignite Digital

2d•$95,000

About The Position

Ignite Digital enables national security agencies to accelerate decisions, elevate operational outcomes and achieve the outsized performance only an inside partner can deliver. We combine mission experience, domain knowledge and technology expertise with the things partners can only know by being there every day. When agencies need a combination of tech and touch, Ignite Digital creates outcome-driving partnerships and stands with agencies to accomplish mission objectives. Ignite Digital accelerates capability to the speed of every mission, deploying intelligent solutions and AI integration for faster, better transformation. Ignite delivers partnership beyond presentations to inspire the confidence to lead in a digital-forward world. Ignite Digital. The Edge from Within. 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.

Requirements

5+ years of experience supporting corporate operations with data management and analysis.
3+ years of experience in data management, analysis, and visualization.
3+ years of Business Intelligence experience building dashboards and reporting solutions using the QLIK Advana suite.
Experience designing data visualizations and selecting appropriate visuals for different audiences.
Experience with project planning, risk identification, timeline recommendations, cross‑functional collaboration, and analytical modeling.
Technical skills: Python, SQL, data modeling, APIs, data architecture.
Familiarity with AI libraries.
Bachelor’s degree in Physical Sciences, Computer Science, Mathematics, Psychology, Business Intelligence, Business Administration, Finance, Statistics, or MIS.

Responsibilities

Analyze use cases and high‑level requirements to define detailed technical requirements for data solutions.
Work with stakeholders to refine enterprise metrics, business rules, and related data requirements.
Establish and update data architectures, models, standards, transformations, and integrations.
Design, build, refresh, and maintain reference materials (terms, metrics, rules, lineage, etc.) for analysts and users.
Develop automation capabilities through modern software‑intensive solutions and data engineering best practices.