Data Engineer - REMOTE

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

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Data Engineer. This role plays a vital part in driving best-in-class data engineering practices by designing, building, and operating production-grade batch and real-time streaming pipelines at scale. You will enhance and modernize existing data platforms, advancing architectures, and ensuring data reliability and quality across the ecosystem. The position requires a hands‑on technical leader who can mentor engineers and deliver business‑critical data solutions in complex environments.

Accountabilities

• Lead the design, development, and optimization of highly scalable, low-latency streaming and batch data pipelines.
• Engineer real‑time data solutions using technologies such as Apache Kafka, Apache Flink, and Spark Streaming.
• Collaborate closely with product, analytics, AI/ML, and platform teams to ensure data is treated as a first‑class, strategic asset.
• Drive platform modernization initiatives including cloud‑native services and streaming‑first design patterns.
• Establish and enforce best practices for data governance, security, performance tuning, and operational reliability.
• Implement end‑to‑end observability for data pipelines, including defining metrics and establishing SLAs.

Requirements

• 10+ years of professional 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.
• Hands‑on experience with cloud platforms (AWS, Azure, or GCP) and containerized deployments for data workloads.
• Proven experience implementing data quality frameworks and CI/CD integrations.
• Strong foundation in event‑driven architectures, distributed systems, and resilient low‑latency pipelines.
• Operational excellence in observability, including metrics, logging, and alerting for data pipelines.

Benefits

• Make an impact at one of the world’s fastest‑growing AI‑first digital engineering companies.
• Upskill and discover your potential as you solve complex challenges in cutting‑edge technology.
• Work where innovation happens with disruptive innovators in a research‑focused organization.
• Gain exposure working with Fortune 500 companies and immerse yourself in breakthrough technologies.

Why Apply Through Jobgether?

We use an AI‑powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top‑fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre‑contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.