Data Platform Engineer: TB-PB Scale, Real-Time Pipelines

Terminal; Canada; On-site; CAD 80,000 - 120,000; Full time

Job summary

A leading technology startup in Toronto seeks an experienced engineer to build scalable data platforms and optimize the data that powers their API. Candidates should have 3+ years of experience in data engineering, with expertise in Java, Python, and large-scale data processing tools like Kafka and Flink. The position offers strong compensation, equity packages, and a flexible work environment in downtown Toronto.

Benefits

Strong compensation and equity packages

Brand new MacBook and equipment

Top-tier health/dental benefits

Personal development spending account

Four weeks paid time off

In-person culture at downtown office

Qualifications

• 3+ years of experience in platform engineering or data engineering.
• 2+ years designing and optimizing data pipelines at TB to PB scale.
• Proficient in Java with a focus on clean code.
• Strong system design skills for big data.
• Familiarity with lake-house architectures.
• Experience with real-time data processing tools.
• Knowledge of distributed systems.
• Strong problem-solving skills.

Responsibilities

• Own projects to enhance data replication, storage, and reporting.
• Build and optimize streaming and batch data pipelines.
• Design scalable storage solutions for large data sets.
• Develop real-time data systems for growing data volumes.
• Implement data lineage and observability patterns.
• Write maintainable code in Java and Python.
• Shape architectural decisions for scalability.

Skills

Platform engineering

Data engineering

Java

Python

System design

Real-time data processing

Big data workflows

Problem-solving

Tools

Kafka

Flink

Spark

AWS

Iceberg

Redis

Job description

A leading technology startup in Toronto seeks an experienced engineer to build scalable data platforms and optimize the data that powers their API. Candidates should have 3+ years of experience in data engineering, with expertise in Java, Python, and large-scale data processing tools like Kafka and Flink. The position offers strong compensation, equity packages, and a flexible work environment in downtown Toronto.