Data Engineer

Raydar

• $180K — $220K *
US-AnywhereRemote in United States
Legal & Accounting
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 4-8 years of experience in production data pipelines with large, messy datasets.
  • Strong skills in Python and SQL for data engineering and analysis.
  • Hands-on experience with legal data sources like PACER and court dockets.
  • Familiarity with AI tools for data processing, including LLM-assisted extraction and OCR.
  • Bachelor's degree in Computer Science, Data Science, or a related field.
  • Ability to work autonomously and critically assess AI-generated outputs.

Responsibilities

  • Build and maintain data pipelines for various legal records.
  • Convert PDFs and other formats into clean, queryable datasets.
  • Develop LLM-assisted workflows for legal text extraction.
  • Conduct statistical analyses and optimize SQL queries for better data quality.
  • Collaborate with engineers to enhance RAG and semantic search workflows.
  • Manage AWS S3 and RDS systems, ensuring compliance and security.

Benefits

  • Remote work within the U.S. with flexibility in hours to overlap with Eastern Time.
  • Quarterly travel to New York City for team collaboration.
  • Working in a dynamic environment that values autonomy and innovation.
  • Potential for equity participation in the company.
Full Job Description
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.

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