Data Engineer

About the company Our client builds AI-powered legal software for research and litigation workflows. Its products use large collections of court records and legal documents to help turn complex information into structured insights. The role / why it matters You will own the data pipelines that ingest, normalize, and enrich caselaw and docket records. Legal source data is messy, often arriving as scanned filings or semi-structured documents. The reliable signal you create will support downstream research and AI products. What you'll do • Build and maintain production pipelines for PACER, NYSCEF, state court systems, published opinions, and other legal records. • Turn PDFs, scanned filings, XML, and HTML into clean, queryable data. • Create LLM-assisted extraction workflows for legal text and validate results against source documents. • Run statistical analyses, improve data quality, and optimize SQL queries. • Support RAG and semantic search workflows in partnership with full-stack engineers. • Operate and improve AWS S3 and RDS data systems within established security and compliance guardrails. What we're looking for • 4-8 years of experience building and operating production data pipelines with large, dirty datasets, and quickly finding signal in them. • Strong Python and SQL skills for pipeline engineering and data analysis. • Hands-on experience with legal data such as PACER records, court dockets, or court filings. • Experience with AI for data, including RAG, semantic search, and LLM-assisted extraction, plus PDF parsing, OCR, and document extraction tooling. • A bachelor's degree in Computer Science, Data Science, or a related field. • Works fully autonomously and thrives with minimal management direction; stays curious about messy data problems and critically reviews AI-assisted code and outputs. Bonus points • Experience with regulatory or government data sources. • Experience with vector databases or semantic-search tooling such as Pinecone or Voyage AI. Compensation and benefits • Base salary: $180,000-$220,000 USD. • Equity: 0.15%-0.25%. Location / work model • Remote within the United States, with at least four hours of overlap with Eastern Time each workday. • Strong preference for candidates based in the New York City area. • Plan for quarterly travel to New York City. • Visa transfers may be considered. New visa sponsorship is not available.