Quant Data Engineer: Build High-Impact Trading Pipelines

Saragossa; Philadelphia (Philadelphia County); On-site; USD 180,000 - 400,000; Full time

Job summary

Saragossa is building a greenfield data platform for a major quantitative trading firm. You’ll craft pipelines that feed quant researchers and live trading signals, with the data sitting next to the money and impacting real decisions.

You will handle billions of historical rows, vendor datasets, and ensure restatements, backfills, and entity resolution are robust. We’re starting to apply LLMs and agents to unstructured data, keeping the work evolving and impactful.

Qualifications

• Strong Python experience.
• Experience handling large-scale historical data ingestion and management of third-party/vendor data feeds.
• Ability to build data pipelines that feed quant researchers and live trading signals.

Responsibilities

• Design and implement data pipelines feeding quant researchers and production trading systems.
• Handle billions of historical rows, alternative and vendor datasets with payers ensuring restatements and backfills are correct.
• Apply LLMs and agents to unstructured data as the project evolves.

Skills

Python

Big data processing

Data ingestion

Job description

Saragossa is building a greenfield data platform for a major quantitative trading firm. You’ll craft pipelines that feed quant researchers and live trading signals, with the data sitting next to the money and impacting real decisions.

You will handle billions of historical rows, vendor datasets, and ensure restatements, backfills, and entity resolution are robust. We’re starting to apply LLMs and agents to unstructured data, keeping the work evolving and impactful.