Python & SQL Engineer — Inbound Clearing Data Pipelines

Susquehanna International Group, LLP; Lower Merion Township (Montgomery County); On-site; USD 120,000 - 180,000; Full time

Job summary

Susquehanna International Group, LLP is seeking a Software Engineer for the Inbound Clearing team in the United States. You will build data pipelines, support firmwide inbound clearing workflows, and provide real‑time operational visibility that informs reporting and decision‑making.

The role emphasizes Python and SQL, scale, data accuracy, and collaboration with Operations, Treasury, and Trading to modernize feeds and analytics tooling; you will own meaningful components and contribute to AI

Qualifications

• 3–6 years of hands-on development with Python and SQL.
• Experience building data pipelines or data-intensive services.
• Experience with high‑correctness systems where data accuracy matters.
• Bachelor’s degree in CS/Engineering/Mathematics/Finance or related field.

Responsibilities

• Architect and enhance inbound clearing pipelines to normalize data across asset classes.
• Develop automated reporting tools for financing, margin, cash movements, and exposure.
• Drive data quality and reconciliation across positions, balances, and trades.
• Collaborate with stakeholders to gather requirements and iterate improvements to the clearing and reporting platform.
• Use AI-assisted development tooling to improve delivery quality and velocity.

Skills

Python

SQL

Data pipelines

Big data

Communication

Independent work

Education

Bachelor's degree

Tools

Hadoop

HBase

Druid

Job description

Susquehanna International Group, LLP is seeking a Software Engineer for the Inbound Clearing team in the United States. You will build data pipelines, support firmwide inbound clearing workflows, and provide real‑time operational visibility that informs reporting and decision‑making.

The role emphasizes Python and SQL, scale, data accuracy, and collaboration with Operations, Treasury, and Trading to modernize feeds and analytics tooling; you will own meaningful components and contribute to AI