# Data Engineer

**Company:** [Raydar](https://jobs.workable.com/companies/5ErCjQrw6G4QCyNL7kiKAz.md)
**Location:** Remote
**Workplace:** remote
**Employment type:** Full-time

[Apply for this job](https://jobs.workable.com/view/02552241-81f1-450c-909e-6e5482f273de)

## Description

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.