[Remote] Spring 2027 Intern - Technology Research & Data Engineering Intern

Note: The job is a remote job and is open to candidates in USA. Noblis is hiring a Spring 2027 intern to support a technology scouting and risk assessment platform for identifying and evaluating emerging technologies with national security implications. The intern will research and integrate open-source data, develop data pipelines, and contribute to platform software enhancements.

Responsibilities

• Research, identify, and evaluate new open-source datasets relevant to technology scouting and national security analysis
• Develop and maintain ETL (Extract, Transform, Load) pipelines to ingest data across multiple formats including structured data, documents (Word, Excel, PDF), and streaming sources
• Assess data quality, relevance, and coverage gaps to prioritize new data source integration
• Document data source characteristics, schemas, licensing, and access methods
• Support data normalization and transformation to align new sources with existing platform taxonomies
• Contribute to platform feature development, bug fixes, and enhancements using modern software engineering practices
• Support front-end or back-end development tasks as assigned, working within a service-oriented architecture
• Participate in code reviews, testing, and CI/CD workflows
• Assist with UI/UX improvements and data visualization features as needed
• Collaborate with the engineering team during sprint planning, stand-ups, and retrospectives
• Maintain clear documentation of work completed, approaches taken, and lessons learned
• Communicate progress, blockers, and findings proactively to the project lead

Skills

• Currently pursuing a Bachelor's or Master's degree in Computer Science, Data Science, Data Engineering, Information Science, or a related technical field with a 3.3 GPA
• U.S. citizenship required
• Minimum 1 year of academic or professional experience in data engineering, software development, or a related area (coursework and academic projects count)
• Demonstrated experience or coursework in data engineering concepts, including ETL processes, data wrangling, and working with diverse data formats (JSON, CSV, XML, APIs)
• Working knowledge of Python or another scripting language, with some exposure to data processing libraries (e.g., Pandas, BeautifulSoup, Scrapy, or similar)
• Basic understanding of relational databases and SQL
• Strong research skills with the ability to independently discover, evaluate, and document new data sources
• Effective written and verbal communication skills
• Self-starter who can work independently with minimal supervision in a part-time capacity
• Experience with web scraping, API integration, or automated data collection techniques
• Familiarity with containerized environments (Docker, Kubernetes)
• Exposure to front-end (React, JavaScript) or back-end (Java, Node.js, Python/Flask/FastAPI) development
• Experience with version control systems (Git) and CI/CD pipelines
• Familiarity with natural language processing (NLP) concepts or large language models (LLMs)
• Interest in national security, intelligence analysis, or emerging technology policy
• Experience working with large-scale or streaming data sources (e.g., news feeds, academic databases, patent repositories)
• Ability to obtain a security clearance

Benefits

• Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in health, life, disability, financial, and retirement benefits, paid leave, professional development, tuition assistance, and work-life programs.
• Other offerings may be provided for employees not within the full-time or part-time-at-least-20-hours-a-week-on-a-regular-basis eligibility category.
• Award programs acknowledge employees for exceptional performance and superior demonstration of service standards.
• Remote/hybrid status is subject to change based on Noblis and/or government requirements.

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