Data Engineer

Job not on LinkedIn

🕒 August 12

🇧🇷 Brazil – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

👻 Ghost score 37%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Combine | Global Recruitment

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2021

🎯 Recruiter

🤝 B2B

Recruitment • B2B

Combine | Global Recruitment is a Latin America-focused recruitment and staffing firm that helps companies build high-performing teams with pre-vetted LATAM professionals. They offer Outsourcing (handling vetting, compliance and payroll), Direct Hire (full talent acquisition and integration as direct employees), and Executive Search for C-suite and senior management roles. Their website emphasizes precision, compliance, and impact, and notes that over 200 companies use their Latin America recruitment solutions.

📋 Description

• Maintain and extend hundreds of scrapers that continuously pull court data into the system • Ingest millions of documents and merge them safely into the production database • Help build and evolve the portal receiving digitization work at the United States Library of Congress • Convert scanned material into structured text and documents and merge it into the archive • Work on machine learning processes that identify and remove copyrighted material • Design batch operations across five to ten million records efficiently • Diagnose slow queries, review migrations, and provide database support to the team

🎯 Requirements

• Professional, in-depth Python experience • Strong Django experience; Django is the framework used and the single most important skill • Strong database fundamentals, including PostgreSQL, execution plans, query optimization, indexes, and migrations • Production web scraping experience, including building, maintaining, and debugging scrapers • Celery, Redis, and Kubernetes experience are nice to have • Machine learning applied to document processing (OCR, classification, extraction) is nice to have • Experience with legal data, civic tech, govtech, or open data is nice to have • Elasticsearch or similar search infrastructure experience is nice to have • Genuine interest in law, access to justice, or social justice work is nice to have