Spring 2027 Intern - Technology Research & Data Engineering Intern at Noblis

Job description

Responsibilities This is for a SPRING internship begining in January 2027. Expected hours are 10-20 hours a week. The internship will run until April 2027. Noblis is seeking a motivated intern to support a technology scouting and risk assessment platform project that helps U.S. government decision makers identify, monitor, and evaluate emerging technologies with national security implications. The platform integrates open-source data from academic research, global news, patents, government funding sources, and other publicly available repositories, then applies advanced analytics, including machine learning, natural language processing, and structured analytic techniques, to surface insights and assess technology risk. The intern will join a small, high-impact engineering team working in an agile environment to expand the platform's data coverage and enhance its software capabilities. Job Responsibilities Data Discovery, Integration and Pipeline Development • 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 Software Development Support • 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 General • 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 Required Qualifications • 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 Desired Qualifications • 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 is preferred but not required Overview Overview Noblis and our wholly owned subsidiaries, Noblis ESI and Noblis MSD, take on some of the nation’s toughest challenges, delivering advanced solutions to our customers’ most critical missions. We bring together leading scientific, engineering, and management expertise in a culture grounded in objectivity and collaboration, ensuring our work creates lasting impact across federal missions. We work with a broad range of government agencies in the defense, intelligence, and federal civilian sectors. Learn more and find opportunities at careers.noblis.org Why Work at Noblis At Noblis, we share a passion for excellence and innovation, and we create an environment where people can do meaningful work while maintaining the balance that keeps them energized and fulfilled. We seek out individuals with a natural curiosity and desire to collaborate and learn. We believe our people are our greatest strength, and we consistently seek exceptionally skilled, mission‑driven professionals who care deeply about doing work that enriches lives and makes our nation safer. Noblis has earned numerous workplace awards for our culture, our commitment to employee well‑being, and our dedication to meaningful, impactful work. We also maintain a drug‑free workplace. Remote/hybrid status is subject to change based on Noblis and/or government requirements. Commitment to Non-Discrimination All qualified applicants will receive consideration for employment without regard to race, color, ethnicity, sex, age, national origin, religion, physical or mental disability, pregnancy/childbirth and related medical conditions, veteran or military status, or any other characteristics protected by applicable federal, state, or local law. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact us . EEO is the Law | E-Verify | Right to Work Total Rewards At Noblis we recognize and reward your contributions, provide you with growth opportunities, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, and work-life programs. Our award programs acknowledge employees for exceptional performance and superior demonstration of our service standards. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in our benefit programs. Other offerings may be provided for employees not within this category. We encourage you to learn more about our total benefits by visiting the Benefits page on our Careers site. Compensation at Noblis is determined by various factors, including but not limited to, the combination of education, certifications, knowledge, skills, competencies, and experience, internal and external equity, location, clearance level, as well as contract-specific affordability, organizational requirements and applicable employment laws. The projected compensation range for this position is based on full time status. For part time or on-call staff, compensation is proportionately adjusted based on hours worked. While monetary compensation is important, it's just one component of Noblis’ total compensation package. Posted Salary Range USD $23.00 - USD $38.00 /Hr.

Requirements

Must-haves

This is for a SPRING internship begining in January 2027. Expected hours are 10-20 hours a week. The internship will run until April 2027.
Data Discovery, Integration and Pipeline Development
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
Software Development Support
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
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.

Nice-to-haves

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 is preferred but not required

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

machine learningagileci/cdpythonsqlapidockerkubernetesreactjavascriptjavanode.js

Platform: jibe
Effort: medium

Benefits

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Vision

Professional Development