Senior Data Engineer - Scalable Data Platforms & Pipelines

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

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.