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Data Engineer – Mid-Level
Ignite Digital Services. Support the Naval Research & Development Establishment within the Decision Advantage Solutions Hub Integrated Product Team .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in data management, analysis, and visualization, with a strong focus on designing and implementing data systems and pipelines for AI/ML applications. Proficient in collaborating with cross-functional teams to ensure data quality, security, and effective communication of insights.
Highest-signal resume keywords
Data ManagementData AnalysisBusiness IntelligencePythonSQL
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data ModelingAPIsData ArchitectureData VisualizationMachine Learning Deployment
Soft Skills
Cross-Functional CollaborationStakeholder CommunicationProject Planning
Tools & Technologies
QLIK AdvanaAI Libraries
Industry Keywords
Data SystemsData PipelinesData WorkflowsEnterprise MetricsSecurity Standards
Tech Stack
Tools & technologiesPythonSQL
About the role
Key responsibilities & impact- Support the Naval Research & Development Establishment within the Decision Advantage Solutions Hub Integrated Product Team
- Design, implement, and optimize data systems and pipelines enabling AI/ML applications for a Navy IT command
- Collaborate with AI/ML engineers and technical teams to ensure scalable, reliable data processing
- Support machine learning deployment, mission-critical operations, data quality, security standards, and data workflows
- Analyze use cases and high-level requirements to define detailed data solution requirements
- 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 for analysts and other consumers
- Develop and deploy modern software-intensive solutions to provide automation
Requirements
What you’ll need- 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
- Applicants selected will be subject to a government security investigation and must meet eligibility requirements for access to classified information
Benefits
Comp & perks- Competitive pay and benefits, including PTO
- Education stipends
- Referral bonuses
- Compelling work with the U.S. federal government
- Strong emphasis on volunteer and community engagement
- Opportunity to shape the future of our industry
- Supportive colleagues and management who invest in your growth