Data Engineer, Delta One: Time‑Aligned Data Pipelines

SIG Susquehanna; Pennsylvania; Ibrido; USD 140.000 - 200.000; Tempo pieno

Descrizione del lavoro

SIG Susquehanna is seeking a Data Engineer to join the Systematic Delta One desk, building scalable data pipelines powering alpha research and trading strategies. You will ingest vendor and alternative datasets, preserve history, and extend platforms to unstructured sources.

Strong Python, SQL, data modeling, and experience with batch processing, cloud data shares, and versioned data are required to support backtesting and research workflows.

Competenze

• 5+ years building Python data apps over large historical datasets
• Experience ingesting third‑party/vendor data at scale (S3/SFTP, cloud data shares, APIs)
• Strong SQL and familiarity with Parquet/Arrow/DuckDB, NumPy, Pandas or Polars
• Knowledge of temporal or versioned data and reproducible research workflows
• Operational experience with production data pipelines, monitoring, and restatement handling
• Ability to translate research ideas into robust, scalable datasets
• Experience with LLMs in data problems or agentic tooling is a plus
• Cloud data delivery experience (AWS S3, Snowflake) is a plus
• Quantitative finance/trading environment exposure is a plus
• Advanced degree is a plus

Mansioni

• Own end-to-end onboarding of new datasets, from evaluation to ingestion pipelines and production monitoring
• Build point-in-time datasets preserving history and handling restatements/backfills
• Design entity-mapping and reference datasets linking vendor IDs to tradable instruments
• Extend ingestion platform to unstructured data using LLMs and AI tooling
• Run data-quality and vendor-evaluation studies to inform licensing decisions
• Create research-ready datasets optimized for large-scale historical analysis and backtesting
• Improve the shared ingestion platform to onboard datasets faster

Conoscenze

Python data apps

SQL proficiency

Data modeling

Cloud data delivery

Versioned data

Production pipelines

LLMs for data

Formazione

Advanced degree in CS/Math/Physics/CE

Strumenti

Snowflake

DuckDB

Parquet

Arrow

Descrizione del lavoro

Overview

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 You’ll 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.

What we're looking for

• 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.

If you're a recruiting agency and want to partner with us, please reach out to [e-mail]. Any resume or referral submitted in the absence of a signed agreement will not be eligible for an agency fee.

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