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Vera Institute of Justice Logo

Fall 2025 - Data Engineering Intern, Research Central

Vera Institute of Justice

Salary not specified
Aug 28, 2025
New York, NY, US • Washington, DC, US • DC, US • New Orleans, LA, US • Los Angeles, CA, US
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The Vera Institute of Justice is seeking a Data Engineering Intern to support the construction and maintenance of a centralized data ingestion/processing framework and data warehouse to support researchers who work with public and/or large-scale data in national and place-based initiatives.

Requirements

  • Demonstrated proficiency working with data collection and processing in Python, with preference for experience using SQL and Python Pandas library
  • Proficiency developing code collaboratively using GitHub
  • Python
  • GitHub
  • Google Cloud Platform and/or AWS
  • BigQuery and/or PostgreSQL (or similar relational database technology)
  • Airflow
  • Docker

Responsibilities

  • Integrate new sources of criminal justice, immigration, and economics data into our internally collected data; clean, transform, organize, ensure quality of production data
  • Refactor existing web scrapers and data processes to new centralized infrastructure and frameworks
  • Contribute code to building a central data model for unrestricted datasets
  • Help maintain existing codebase through reviewing requests
  • Coordinate with data science staff to ensure consistency of datasets, naming conventions, code repository structure, etc.

Other

  • Commitment to advancing racial and gender equity
  • Curiosity about emerging research and advocacy in the criminal justice space and/or immigration spaces
  • Wrestles with creative and concrete ways to use data to shift power and advance equity and inclusion
  • Professional, personal or academic engagement with issues of mass incarceration and mass criminalization
  • The intern should be available to work up to 15 hours per week during the summer. The dates will be between September 8, 2025, to December 12, 2025, with some flexibility to accommodate personal and academic schedules.