Senior Data Engineer

Susquehanna International Group; Bala Cynwyd (PA); On-site; USD 110,000 - 170,000; Full time

Job summary

Susquehanna International Group is hiring a Data Engineer to join our Data Technologies team in Bala Cynwyd. You will design, build, and support scalable data pipelines and platforms for middle- and back-office systems, enabling business-ready datasets and analytics.

The role emphasizes distributed data processing, modern data architectures, and collaboration with application teams to deliver data solutions that meet complex business requirements.

Qualifications

• 5+ years of experience in data engineering or distributed data processing.
• Hands-on experience with modern data tech such as Spark, Databricks, Kafka and related stack.
• Strong Python development skills.
• Experience designing and optimizing high-volume data pipelines and processing frameworks.
• Experience with query optimization and performance tuning in large-scale analytics.
• On-premises data platforms experience preferred.
• Capital markets or financial services domain knowledge required or strongly preferred.

Responsibilities

• Design, develop, and support scalable data pipelines and data products for middle- and back-office systems.
• Architect and implement modern data platform solutions.
• Build and optimize large-scale batch and streaming data processing workflows.
• Collaborate with application teams to model, transform, and deliver data solutions that meet business requirements.
• Monitor, troubleshoot, and optimize data processing environments for reliability and performance.

Skills

Spark

Databricks

Trino

Iceberg

Snowflake

Parquet

Apache Arrow

Polars

Kafka

Python

Job description

Overview

We are hiring a Data Engineer to join our Data Technologies team. This team partners with middle-and back-office application teams to design, build, and support next-generation data platforms and pipelines that ingest, process, and transform large-scale data into business-ready datasets. We are looking for an experienced data engineer who is passionate about modern data architectures, distributed data processing, and scalable analytics platforms.

In This Role, You Will

• Design, develop, and support scalable data pipelines and data products for middle- and back-office systems
• Architect and implement modern data platform solutions
• Build and optimize large-scale batch and streaming data processing workflows
• Collaborate with application teams to model, transform, and deliver data solutions that meet business requirements
• Monitor, troubleshoot, and optimize data processing environments to ensure reliability, scalability, and performance

What We're Looking For

• 5+ years of experience in data engineering, data platforms, or large-scale distributed data processing
• Strong experience with modern data engineering technologies such as Spark, Databricks, Trino, Iceberg, Snowflake, Parquet, Apache Arrow, Polars, and/or Kafka
• Strong Python development skills required
• Experience designing and optimizing high-volume data pipelines and data processing frameworks
• Experience with query optimization and performance tuning in large-scale analytical environments
• Experience with on-premises data platforms preferred
• Industry experience within capital markets or financial services is required
• Domain knowledge particularly Operations and/or Compliance, is highly preferred
• Ability and flexibility to provide occasional off-hours/weekend support