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.
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.
#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 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.
Skills Required
- Enrolled undergraduate student majoring in computer science, computer engineering, data science, or related field
- Basic knowledge of Python
- Basic understanding of SQL and relational databases
- Familiarity with data cleaning and transformation concepts
What We Do
Sunwater Capital invests in real estate, proptech, healthcare, and information. Real estate Sunwater invests across most real estate asset classes, including existing properties, value-added assets, ground-up development projects, and complementary asset managers. Information Sunwater invests in businesses that commercialize data and analytics in diverse industries. Healthcare Sunwater invests in healthcare technology and services businesses that are driving superior outcomes through new business models, data, and connectivity. Construction and property technology Sunwater invests in innovative technology and materials businesses that enable faster, more efficient, and more flexible creation, maintenance, and management of built space.
