Senior Streaming Data Engineer - Real-Time Pipelines

Jobgether; Remote; CAD 90,000 - 120,000; Full time

Job summary

A leading digital engineering company in Canada is seeking a Data Engineer to design and optimize scalable data pipelines. This role requires deep expertise in streaming technologies like Apache Kafka, Flink, and Spark Streaming, along with strong knowledge of cloud platforms. The candidate will be responsible for enhancing existing data platforms while ensuring data quality and operational excellence. Join a fast-growing team and work with innovative solutions impacting Fortune 500 companies.

Benefits

Opportunities for upskilling

Exposure to Fortune 500 companies

Work within a research-focused organization

Qualifications

• 10+ years of experience in software or data engineering, with 4+ years focused on streaming and real‑time data systems.
• Deep expertise in streaming technologies such as Apache Kafka, Flink, and Spark Streaming.
• Experience with cloud platforms and containerized deployments for data workloads.

Responsibilities

• Lead the design of scalable, low-latency streaming and batch data pipelines.
• Engineer real-time data solutions using Apache technologies.
• Collaborate with cross-functional teams to optimize data as a strategic asset.

Skills

Apache Kafka

Apache Flink

Spark Streaming

Cloud platforms (AWS, Azure, GCP)

Event-driven architectures

Distributed systems

Job description

A leading digital engineering company in Canada is seeking a Data Engineer to design and optimize scalable data pipelines. This role requires deep expertise in streaming technologies like Apache Kafka, Flink, and Spark Streaming, along with strong knowledge of cloud platforms. The candidate will be responsible for enhancing existing data platforms while ensuring data quality and operational excellence. Join a fast-growing team and work with innovative solutions impacting Fortune 500 companies.