This is a fully remote position, open to applicants in Brazil.

• Oversee and enhance numerous scrapers that consistently gather court data into the system

• Ingest millions of documents and safely integrate them into the production database

• Assist in the development and advancement of the portal that manages digitization efforts at the United States Library of Congress

• Transform scanned materials into structured text and documents for inclusion in the archive

• Engage in machine learning processes aimed at identifying and eliminating copyrighted content

• Design efficient batch operations for handling five to ten million records

• Troubleshoot slow queries, assess migrations, and offer database support to the team

• Extensive professional experience in Python

• Strong expertise in Django; this framework is essential and the most critical skill

• Solid understanding of database fundamentals, including PostgreSQL, execution plans, query optimization, indexes, and migrations

• Hands-on experience with production web scraping, including the creation, maintenance, and debugging of scrapers

• Familiarity with Celery, Redis, and Kubernetes is a plus

• Experience in applying machine learning to document processing tasks (OCR, classification, extraction) is advantageous

• Background in legal data, civic technology, government technology, or open data is beneficial

• Knowledge of Elasticsearch or similar search infrastructure is a plus

• A genuine interest in law, access to justice, or social justice initiatives is appreciated

• Competitive salary and comprehensive benefits package

• Opportunities for professional development and growth

• Collaborative and inclusive work environment

• Engaging projects that contribute to social impact

Data Engineer

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