What you’ll do

Assist in building and maintaining data pipelines
Write and optimize SQL queries
Support data transformation and validation tasks
Work with structured datasets related to Congress, legislation, hearings, and lobbying data
Support the implementation and maintenance of AI workflows for data engineering
Collaborate with the team to improve data quality and documentation

What we’re looking for

Enrolled undergraduate student majoring in computer science, computer engineering, data science, or a related technical field
Basic knowledge of Python
Basic understanding of SQL and relational databases
Familiarity with data cleaning and transformation concepts
Interest in U.S. congressional processes and legislative data
Strong attention to detail and willingness to learn

Nice to Have

Experience with PostgreSQL and/or Opensearch
Coursework or exposure to Artificial Intelligence (AI), Large Language Models (LLMs), natural language processing, and related concepts
Familiarity with Amazon Web Services (AWS) 
Understanding ETL concepts.
Exposure to APIs or web data extraction
Academic or practical knowledge of U.S. Congress, legislation, or public policy

What we offer

Hands-on experience working with real-world legislative data and cross-functional product teams.
Mentorship from a diverse, multi-disciplinary group of policy, data, and product professionals.
Flexible scheduling to accommodate coursework and student commitments.
A collaborative, supportive environment that supports growth and provides pathways to future part-time or full-time opportunities.

How to apply

Submit your resume, a brief cover note describing your interest in data and policy, and any relevant coursework or projects.
Include examples of any data-related work (class projects, internships, personal projects) if available.