Data Engineer, Alternative Data | Delta One Trading | Experienced Hire

We are seeking a Data Engineer to join our Systematic Delta One desk where engineers researchers and traders work side-by-side to develop scalable fully automated trading strategies across liquid global products and venues. Susquehanna buys data from a wide range of sources - credit card panels web-scraped product prices call transcripts - and none of it arrives ready to use. Your job is to turn them into datasets that our researchers can trust.

How Youll Make an Impact:

You will partner closely with our modelers and traders to understand their needs evaluate new datasets and build the pipelines that ingest and normalize external data. Vendors restate history remap identifiers and document things wrong; you will dig into what the data actually says and get it into a shape that research can build on. Along the way you will help design the tools and infrastructure that you and others use to work with it.

• 5 years of experience building Python data applications or pipelines

• Experience processing and investigating large third-party datasets

• Strong SQL experience and familiarity with tools such as Pandas Polars Parquet Arrow or DuckDB

• Able to translate evolving research ideas into reliable datasets and tools
• Curious detail-oriented and an effective communicator
• Advanced degree in Computer Science Mathematics Physics Computer Engineering or related field

About Susquehanna

Susquehanna is a global quantitative trading firm powered by scientific rigor curiosity and innovation. Our culture is intellectually driven and highly collaborative bringing together researchers engineers and traders to design and deploy impactful strategies in our systematic trading environment. To meet the unique challenges of global markets Susquehanna applies machine learning and advanced quantitative research to vast datasets in order to uncover actionable insights and build effective strategies. By uniting deep market expertise with cutting-edge technology we excel in solving complex problems and pushing boundaries together.

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