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Data Engineer

Toronto, Ontario💼 Full-time🗓 2026-05-28 → 2026-08-10

Core

Building and optimizing large-scale cloud data systems for portfolio management technology.

Role type

Hands-on Data Engineer

Builds

Large-scale cloud data systems

Domain

Capital markets / Cloud data engineering

Deliverable

production ML models | infrastructure

Required skills

Python, PySpark, Apache Spark, Databricks, large-scale data systems, client-facing delivery, independent problem-solving

Preferred skills

AWS Glue, Lake Formation, Airflow, distributed data architectures

Technologies

Spark, PySpark, Parquet, Iceberg, Databricks, AWS Glue, Lake Formation, Airflow

Responsibilities

Develop and optimize Spark workloads in cloud environments, Work with large datasets using Parquet and Iceberg, Translate requirements into robust engineering solutions, Ensure performance, reliability, and maintainability, Contribute to monitoring, documentation, and deployment

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