Sr. Data Engineer : Full-time role
About The Position
We're working with a client who is making legal data more accurate, machine-readable, and programmatically accessible than anything that exists today. We’re looking for a senior software/data engineer who enjoys working at the intersection of data engineering, applied ML, and real-world reasoning systems. What you’ll work on: You’ll help design and improve the systems that structure, enrich, and surface legal data, including: Building intelligent data pipelines that automatically annotate legal documents with relationships (e.g., which cases overrule others, which are appeals, remands, or consolidations). Today, much of this work is done manually by expensive human experts — you’ll help automate it. Improving core extraction and resolution tools Designing and running evaluations, both human-in-the-loop and synthetic, to measure data quality and system performance We expect you to be: A technical generalist with strong backend skills (full-stack is a plus, but not required) A data-minded engineer, comfortable thinking statistically and working with messy, real-world datasets Comfortable moving between software engineering, data engineering, and applied ML Able to own projects end-to-end: from design → implementation → testing → deployment
Requirements
- A technical generalist with strong backend skills (full-stack is a plus, but not required)
- A data-minded engineer, comfortable thinking statistically and working with messy, real-world datasets
- Comfortable moving between software engineering, data engineering, and applied ML
- Able to own projects end-to-end: from design → implementation → testing → deployment
Nice To Haves
- Strong Python + SQL (core stack)
- Experience with JS/TS is a bonus
- Experience working with both big data and small data
- Familiarity with ML/AI, data science, or statistics
- Comfort standing up your own infrastructure; production-grade DevOps/MLOps is a plus but not required
- Any deep domain expertise (e.g., physics, medicine, radiology, economics, law, etc.) is a bonus
Responsibilities
- design and improve the systems that structure, enrich, and surface legal data
- Building intelligent data pipelines that automatically annotate legal documents with relationships
- Improving core extraction and resolution tools
- Designing and running evaluations, both human-in-the-loop and synthetic, to measure data quality and system performance
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
