Data Engineering Intern - Summer 2025

This is a U.S. based position. All of the programs we support require U.S. citizenship to be eligible for employment. All work must be conducted within the continental U.S.

Who We Are: Raft (https://teamraft.com) is an agile, forward-thinking small business focused on data engineering, advanced analytics, and scalable digital solutions. Headquartered in McLean, VA, Raft partners with federal and public agencies to deliver innovative data-driven insights that make a difference. We’re committed to an inclusive, collaborative work environment where each team member’s perspective fuels creativity and impact.

About the Role: As a Data Engineering Intern at Raft, you’ll play a hands-on role in enhancing our Data Fabric by onboarding open-source datasets to enrich our out-of-the-box catalog. This role is ideal for someone passionate about data and eager to explore how diverse datasets can drive insight and value. You’ll work with our data engineering team to integrate new datasets, showcase “the art of the possible” with data, and contribute to a robust, enriched data catalog that supports advanced analytics and discovery.

What we are looking for:

• Passion for data engineering and working with open-source datasets.
• Basic knowledge of data integration and ETL (Extract, Transform, Load) processes.
• Familiarity with Python, SQL, or similar tools for data manipulation and analysis.
• Understanding of data structures, databases, and version control tools (such as Git) for collaborative projects.
• Ability to collaborate with team members to onboard and enrich datasets in our Data Fabric environment.
• Analytical skills to assess dataset quality and relevance for catalog enrichment.
• Currently enrolled in a Data Science, Computer Science, Engineering, or related degree program.
• U.S. citizenship is required due to potential exposure to sensitive government-related work.

Highly Preferred:

• Interest in cloud-based data platforms and big data technologies.
• Eagerness to learn about data catalogs and data discovery tools.
• Familiarity with Agile methodologies and adaptability to a fast-paced environment.
• Strong communication skills to effectively share insights and project outcomes within the team.
• Curiosity and enthusiasm for exploring new datasets and discovering new applications of data.

Work Type:

• Location: Remote with travel to Raft HQ.
• Duration: June to August 2025.
• Hours: Part-time, up to 29 hours per week
• Compensation: $20 - $24 per hour, based on experience and qualifications.

Our Vision Statement:  

We bridge the gap between humans and data through radical transparency and our obsession with the mission. 

Our Customer Obsession: 

We will approach every deliverable like it's a product. We will adopt a customer-obsessed mentality. As we grow, and our footprint becomes larger, teams and employees will treat each other not only as teammates but customers. We must live the customer-obsessed mindset, always. This will help us scale and it will translate to the interactions that our Rafters have with their clients and other product teams that they integrate with. Our culture will enable our success and set us apart from other companies.

How do we get there? 

Public-sector modernization is critical for us to live in a better world. We, at Raft, want to innovate and solve complex problems. And, if we are successful, our generation and the ones that follow us will live in a delightful, efficient, and accessible world where out-of-box thinking, and collaboration is a norm. 

Raft’s core philosophy is Ubuntu: I Am, Because We are. We support our “nadi” by elevating the other Rafters. We work as a hyper collaborative team where each team member brings a unique perspective, adding value that did not exist before. People make Raft special. We celebrate each other and our cognitive and cultural diversity. We are devoted to our practice of innovation and collaboration. 

We’re an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.