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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