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Senior Data Engineer (Legal Technology)

Big Wave Digital • United State
Visa Sponsorship
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Own the end-to-end caselaw and docket data layer for an early-stage legal AI company. Build production pipelines to transform messy court PDFs and scans into structured, queryable data. Requires 4-8 years of experience in production pipelines, Python, SQL, and LLM-assisted extraction.

Key Highlights
Full ownership of the court data layer and production pipelines
Focus on transforming unstructured legal documents (PDFs, scans) into clean data
High degree of autonomy in a small, build-and-ship engineering team
Key Responsibilities
Build production pipelines pulling from federal and state court systems, e-filing platforms, and published opinions.
Transform PDFs, scans, and uneven XML or HTML into clean, structured, queryable data.
Design and validate the accuracy of LLM-assisted extraction workflows.
Collaborate with full-stack engineers to power analytical and AI product features.
Perform statistical analysis, tune SQL, and implement RAG and semantic search.
Manage a cloud data stack within enterprise security and compliance guardrails.
Technical Skills Required
Python SQL Document Extraction
Benefits & Perks
Up to $220K base salary
Meaningful equity
Visa transfers
Remote work
Nice to Have
Direct experience with legal or court data (dockets, court records, opinions)
Experience with regulatory or government data
Vector database experience

Job Description

Mike Ross had a photographic memory. You'll need something rarer.

On television, the paperwork always turns up in the right folder, perfectly legible, exactly when the hero needs it. In real life, the paperwork is a scanned PDF from a county courthouse, skewed by three degrees, stamped twice and annotated in someone's handwriting.

Somebody has to turn that page into clean, reliable, queryable data. We think that person might be you.

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