Build and maintain production-grade data pipelines for ingesting and normalizing millions of legal records from PACER, NYSCEF, and state court systems. Design LLM-assisted extraction workflows and RAG pipelines to transform unstructured legal data into reliable, queryable structures for AI strategy products. Requires 4-8 years of experience in Python, SQL, AWS, and large-scale data engineering with a focus on semi-structured datasets.
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Technical Skills Required
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Job Description
Senior Data Engineer - Legal tech
Location: Remote US, strong preference for New York City
Salary: $180,000-$220,000 | Equity: 0.15%-0.25%
Visa transfers accepted
Our client is building a high-performance agentic litigation engine that combines millions of embedded legal documents, proprietary judicial behavioural intelligence, and specialised AI agents to transform how litigation strategy is developed.
You would be joining a highly technical, product-focused team working at the intersection of legal data, artificial intelligence, and large-scale data infrastructure.
The Role
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