Intern Security Data Engineering & Software Development

Intern Security Data Engineering & Software Development SES United States, Virginia, McLean 7900 Tysons One Pl (Show on map) May 03, 2026 Intern Security Data Engineering & Software Development Role Description We are seeking a motivated Intern to support a targeted data engineering and software development project focused on modernizing an existing data-processing workflow. The project involves migrating a Python- and Excel-based process to a scalable, SQL-backed architecture with a secure web-based interface. While the data being processed relates to vulnerability information, the primary focus of the role is on data modelling, backend development, and application design. This internship offers strong hands-on learning opportunities in data engineering, full-stack development, and system design, with exposure to real-world operational datasets. Responsibilities The intern will contribute to the design and implementation of a system that: Adapts an existing Excel-based data processing workflow to run on an SQL Server backend
Works with Excel files containing structured vulnerability-related datasets from multiple sources
Translates a Python (pandas-based) processing pipeline into a database-backed solution
Supports data unification, enrichment, and prioritization logic across multiple inputs
Incorporates historical data and user-provided inputs for enrichment and analysis
Designs and implements:
A relational database schema and data retention strategy
Backend logic to replicate existing processing behavior
A secure web-based frontend to present and interact with the data
Ensures the system:
Retains monthly historical data for up to one year
Replicates the full existing process, with data segregation handled at the presentation layer Key Learning Opportunities During this internship, you will gain practical experience in: Data engineering principles and ETL-style workflows
Relational database design and historical data retention
Backend application development and data access patterns
Frontend development and data visualization
Translating analytical scripts into maintainable, scalable systems
Working with real enterprise datasets in a production-oriented context Required Skills & Knowledge SQL (querying, joins, schema design, data manipulation)
Python, particularly for data processing (e.g., pandas)
Database design fundamentals
Web development basics (frontend and backend concepts)
Understanding of structured data workflows and transformations Nice-to-Have Experience or academic exposure to data engineering concepts
Familiarity with additional programming languages or frameworks suitable for backend or web development
Experience with REST APIs, ORMs, or web frameworks
Interest in system design, scalability, and data quality Expectations Ability to work independently on a well-defined technical project
Willingness to learn and apply new tools and technologies
Strong attention to detail when handling structured and historical data
Clear documentation of design decisions and implementation choices
Collaboration with mentors and technical stakeholders throughout the project Who This Internship Is For This role is ideal for students or recent graduates primarily interested in data engineering and software development, who want hands-on experience designing databases, building backend services, and developing web-based applications. Exposure to cybersecurity-related data is part of the project context, but the emphasis is on engineering, system design, and implementation rather than security operations. SES and its Affiliated Companies are committed to providing fair and equal employment opportunities to all. We are an Equal Opportunity employer and will consider all qualified applicants for employment without regard to race, color, religion, gender, pregnancy, sex, sexual orientation, gender identity, national origin, age, genetic information, protected veteran status, disability, or any other basis protected by local, state, or federal law. For more information on SES, click here.