Fall Data Engineering Intern - Congressional Data

Sunwater CapitalNorth Bethesda, MD
$16 - $16Hybrid

About The Position

Legis1 Inc. is 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. This internship is a part-time opportunity with compensation of $15.95 per hour. The position will be primarily in-person in North Bethesda, Maryland, with options for hybrid arrangements. The dates for the internship will be Aug 31 - Nov 20 depending upon students’ availability/ course schedule.

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

Nice To Haves

  • 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

Responsibilities

  • 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

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