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

Requirements

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

Benefits

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 pathway to future part-time or full-time opportunities.

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

SQLPythondata pipelinesdata transformationdata validationrelational databasesdata cleaning

Soft Skills

attention to detailwillingness to learn