Summer Data Engineering Intern - Congressional Data

Legis1 Inc.

Join us at Legis1, where technological innovation meets the policymaking landscape. Legis1 provides unparalleled insights and analysis on Congress, lobbying, and the legislative process. Our feature-rich platform enables our users to unlock insights, build connections, manage risks, and stay informed of legislative actions impacting them.

Born from a collaborative effort among former Hill practitioners, academics, data scientists, designers, engineers, and commercial experts, Legis1 is at the forefront of congressional and lobbying data and analysis.

Legis1 is located in North Bethesda and maintains a presence on Capitol Hill.

We are seeking a Data Engineering Intern to support our data pipelines and database operations. This role is ideal for someone with foundational knowledge in Python and databases who is interested in working with congressional and political data.

The position will be primarily in-person in North Bethesda, Maryland, with options for hybrid arrangements. The dates for the internship will be May 18 - August 7 depending upon students’ availability/ course schedule.

#Legis1

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 of 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 pathway 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. (Cover letter and resume in same file-upload)
• Include examples of any data-related work (class projects, internships, personal projects) if available.