Data Engineer
This is the employer's own posting, not a copy on a job board.
What we know
Is it still open?
Confirmed still open
Last checked 2d ago — checked against the employer's own applicant tracking system, which is the company answering directly.
We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.
How old is it?
Posted 32d ago
The date the source published, not the day we noticed it (2026-09-30). Last seen at its source just now.
We have tracked this listing since 23 Oct 2026 (9 days). The employer's own board has carried it every time we have read it, most recently just now.
Is it remote?
Marked remote on the employer's board
Their board carries a remote setting on this posting — a field they filled in, not wording we read. The location field names somewhere specific, which is usually where the team or the entity sits.
Who may apply?
United States
The description agrees: it names United States.
What the ad says
…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 tra…
Pay
$180k–220k/yr
Read out of the job description by us, not from a structured field. Shown in the posting's own currency and period; we never convert.
Skills named in the ad
Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.
Carried by 1 source
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Workable employer's own board first seen 9d ago · last seen just now
The listing
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.