Summer 2026 Graduate Intern - Data Architecture, Technology, & Analytics
About the Role & Team
As the division’s data strategy leader, Data Architecture, Technology, & Analytics (DATA), in the Board's Research & Statistics (R&S) division, is dedicated to improving operational efficiency and supporting innovation through practical, forward-looking solutions. We promote best practices in data architecture and data governance across R&S, ensuring data accessibility and accuracy while promoting accountability in data usage. In alignment with both the R&S data strategy and Board data strategy, DATA serves as a driving force in advancing the division’s data capabilities and focusing on supporting the economic research community.
As an intern with DATA, you will support the team in advancing key initiatives focused on modernizing the division’s data environment. The role will provide hands-on experience with data engineering, data transformation, data pipelines, and storage, while contributing to ongoing projects that enhance the division’s ability to manage and leverage data effectively. You will contribute to a range of assignments, including structured data engineering projects and ad-hoc tasks, gaining practical insight into how modern data solutions are developed and implemented in a collaborative environment.
Specific projects/assignments may include:
- Developing data pipelines and ML based analytical tools in AWS environment.
- Assisting data governance activities including but not limited to data flow diagrams development, data dictionaries development, and data inventory collection.
- Compiling and/or analyzing data to prepare dashboards, briefings, and reports for the DATA team.
About You (Background & Skills)
Currently enrolled in a graduate degree program in Computer Science, Information Management Systems, Data Analytics, or other related field of study, graduating Aug '26 or later.
- Strong quantitative skills, including programming experience in python, R and other scripting languages for processing numerical and unstructured data
- Experience in creating complex regular expressions
- Knowledge of AWS cloud
- Skilled in the graphical representation of information in the form of charts, diagrams, pictures, and dashboards with programs and tools (e.g., Excel, Power Bl, python/R graphics lib)
- Excellent oral and written communication skills
- Excellent organization skills
Data Science, Data Engineering, Data Pipeline Development, Python and Database experience is preferred, but not required.
Please upload a copy of your resume & an unofficial transcript prior to submitting your application.
Requirements
U.S. Citizenship required
Applicant must be a current graduate student, graduating from their program August 2026 or later. Proof of enrollment will be required.
Available 40-hrs/week, for 10-12 weeks during summer 2026, with daily on-site presence at our offices in Downtown Washington, D.C.
Intern Benefits
- Access to LinkedIn Learning & a robust experiential learning curriculum
- Professional development & networking opportunities
- Dining options on-site
- On-site fitness center
- Public transit benefits